Weighted ranking report

Best AI for Coding

Agentic coding, web development, repository fixes, and production engineering tasks. This report blends public leaderboard signals into one task-specific composite score, then shows the best-fit use cases, evidence coverage, and decision context behind each ranked model.

Use this coding ranking to shortlist AI models for repository edits, agentic coding, bug fixes, code review, and web application generation.

Last updated: June 16, 2026

Methodology

What changed in this update

Added a visible update note so readers can see when the coding shortlist was last reviewed.
Rechecked coding-source weights across repository repair, SWE-bench, vibe coding, and general intelligence signals.
Expanded the decision guide for teams choosing between coding agents, IDE assistants, and API-based code workflows.

Page value

Repository fixes and agentic coding shortlist.

Data basis

5 public sources · 86 models

Ranking snapshot

2026-06-16

Current winner

Claude Fable 5

Adjusted score

99.9

Snapshot

2026-06-16

Best for

Agentic coding workflows that edit files, run tests, and explain diffs.
Web development, refactoring, debugging, and framework-specific implementation tasks.

Evaluate

Run each finalist on a private repository test set with real issues and failing tests.
Compare diff quality, tool reliability, latency, price, context length, and rollback behavior.

Avoid

Letting any model make autonomous production changes without human review.
Choosing only by general chat quality when the task is code execution and repository repair.

All ranked models

Complete composite model ranking

Showing 86 models with at least one source score. Rows are ordered by Bayesian-smoothed adjusted score; missing source rows stay n/a instead of counting as zero.

Claude Fable 5

AnthropicProprietary API

Best fit

Highest-confidence coding and autonomous engineering tasks.

Source coverage5/5

Full evidence: 5/5 sources · 100% confidence

Code Arena100Vals SWE-bench Verified100Vals Vibe Code Bench100Vellum99AA Index100

Adjusted score

99.9

Model

99.9

Confidence

100%

Claude Opus 4.8

AnthropicProprietary API

Best fit

Large code changes where review quality matters.

Source coverage5/5

Full evidence: 5/5 sources · 100% confidence

Code Arena93Vals SWE-bench Verified93Vals Vibe Code Bench91Vellum93AA Index94

Adjusted score

92.7

Model

92.7

Confidence

100%

Claude Opus 4.7 Thinking

AnthropicProprietary API

Best fit

High-end coding when extended reasoning mode is useful.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena94Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

89.9

Model

Confidence

69%

Claude Opus 4.8 Thinking

AnthropicProprietary API

Best fit

Large code changes that benefit from slower thinking-mode review.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena94Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

89.9

Model

Confidence

69%

Claude Opus 4.7

AnthropicProprietary API

Best fit

Stable high-end coding when Fable or Opus 4.8 is unavailable.

Source coverage5/5

Full evidence: 5/5 sources · 100% confidence

Code Arena94Vals SWE-bench Verified86Vals Vibe Code Bench87Vellum92AA Index89

Adjusted score

89.9

Model

89.9

Confidence

100%

Claude Opus 4.6 Thinking

AnthropicProprietary API

Best fit

Extended reasoning on large repositories and multi-file refactors.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena93Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

89.2

Model

Confidence

69%

Claude Opus 4.6

AnthropicProprietary API

Best fit

Premium coding assistance with strong instruction following.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena92Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

88.5

Model

Confidence

69%

Qwen3.7 Max

AlibabaProprietary API

Best fit

Cost-aware coding workflows where Alibaba model access is preferred.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena92Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

88.5

Model

Confidence

69%

GLM-5.1

Z.aiMIT

Best fit

Open-weight friendly coding experiments and self-hosted evaluations.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena92Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

88.5

Model

Confidence

69%

Claude Sonnet 4.6

AnthropicProprietary API

Best fit

Daily coding edits, review, and lower-cost agentic workflows.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena91Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

87.9

#10

Model

Confidence

69%

MiniMax M3

MiniMaxProprietary API

Best fit

Alternative coding assistant testing across web development prompts.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena91Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

87.9

#11

Model

Confidence

69%

Kimi K2.6

MoonshotModified MIT

Best fit

Long-context code reading and open-weight oriented comparison.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena91Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

87.9

#12

Model

Confidence

69%

Muse Spark

MetaProprietary API

Best fit

Experimental web development generation and UI coding prompts.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena91Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

87.9

#13

Model

Confidence

69%

GPT-5.5 xhigh

OpenAIProprietary API

Best fit

Highest-effort OpenAI coding harness runs and difficult repository tasks.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena90Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

87.2

#14

Model

Confidence

69%

GPT-5.5

OpenAIProprietary API

Best fit

Coding plus broad product, data, and tool-use work.

Source coverage5/5

Full evidence: 5/5 sources · 100% confidence

Code Arena87Vals SWE-bench Verified87Vals Vibe Code Bench83Vellum87AA Index92

Adjusted score

86.7

#15

Model

86.7

Confidence

100%

Claude Opus 4.5 Thinking

AnthropicProprietary API

Best fit

Careful multi-step coding where thinking-mode behavior is preferred.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena89Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

86.5

#16

Model

Confidence

69%

Qwen3.6 Max Preview

AlibabaProprietary API

Best fit

Preview-model coding tests before standardizing on Qwen releases.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena89Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

86.5

#17

Model

Confidence

69%

GPT-5.5 High

OpenAIProprietary API

Best fit

Higher-effort OpenAI coding runs with strong tool-use potential.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena89Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

86.5

#18

Model

Confidence

69%

Mimo V2.5 Pro

XiaomiMIT

Best fit

Open-weight coding model tests and lower-cost deployment planning.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena88Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

85.8

#19

Model

Confidence

69%

Claude Opus 4.5

AnthropicProprietary API

Best fit

High-quality coding and review when newer Opus versions are unavailable.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena88Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

85.8

#20

Model

Confidence

69%

Qwen3.6 Plus

AlibabaProprietary API

Best fit

Balanced Qwen coding workloads and product prototyping.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena88Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

85.8

#21

Model

Confidence

69%

DeepSeek V4 Pro Thinking

DeepSeekMIT

Best fit

Reasoning-heavy coding comparisons with open-weight deployment options.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena88Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

85.8

#22

Model

Confidence

69%

GPT-5.4 High

OpenAIProprietary API

Best fit

High-effort coding assistance and tool-call workflows.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena88Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

85.8

#23

Model

Confidence

69%

Gemini 3.1 Pro Preview

GoogleProprietary API

Best fit

Google ecosystem coding tests and preview-model evaluation.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena87Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

85.1

#24

Model

Confidence

69%

GLM-4.7

Z.aiMIT

Best fit

Open-weight coding and local evaluation candidates.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena86Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

84.4

#25

Model

Confidence

69%

Gemini 3 Pro

GoogleProprietary API

Best fit

General coding, research, and Google-integrated development workflows.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena86Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

84.4

#26

Model

Confidence

69%

GPT-5.4 Medium

OpenAIProprietary API

Best fit

Balanced OpenAI coding runs where latency and cost matter.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena86Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

84.4

#27

Model

Confidence

69%

Gemini 3 Flash

GoogleProprietary API

Best fit

Fast web development assistance and lightweight coding workflows.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena86Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

84.4

#28

Model

Confidence

69%

Mimo V2.5

XiaomiMIT

Best fit

Open-weight coding shortlist testing.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena86Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

84.4

#29

Model

Confidence

69%

GLM-5

Z.aiMIT

Best fit

Open-weight coding model evaluation with Z.ai releases.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena86Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

84.4

#30

Model

Confidence

69%

Mimo V2 Pro

XiaomiProprietary API

Best fit

Xiaomi coding model comparison for web development tasks.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena86Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

84.4

#31

Model

Confidence

69%

Kimi K2.5 Thinking

MoonshotModified MIT

Best fit

Reasoning-forward coding and long-context repository prompts.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena86Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

84.4

#32

Model

Confidence

69%

Gemini 3.5 Flash

GoogleProprietary API

Best fit

Fast coding assistance and lower-latency product workflows.

Source coverage5/5

Full evidence: 5/5 sources · 100% confidence

Code Arena90Vals SWE-bench Verified83Vals Vibe Code Bench76Vellum80AA Index88

Adjusted score

84.3

#33

Model

84.3

Confidence

100%

Kimi K2.5 Instant

MoonshotModified MIT

Best fit

Faster Kimi coding runs and draft implementation work.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena85Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

83.7

#34

Model

Confidence

69%

GPT-5.3 Codex

OpenAIProprietary API

Best fit

Codex-style coding workflows and repository automation.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena85Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

83.7

#35

Model

Confidence

69%

GPT-5.2

OpenAIProprietary API

Best fit

General OpenAI coding support where newer variants are unavailable.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena84Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

83.1

#36

Model

Confidence

69%

GPT-5.4 Mini High

OpenAIProprietary API

Best fit

Smaller high-effort OpenAI coding tasks.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena84Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

83.1

#37

Model

Confidence

69%

MiniMax M2.7

MiniMaxModified MIT

Best fit

Open-ish MiniMax coding model tests and web UI generation.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena84Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

83.1

#38

Model

Confidence

69%

Qwen3.5 397B A17B

AlibabaApache 2.0

Best fit

Open-source Qwen coding evaluation and self-hosted experiments.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena84Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

83.1

#39

Model

Confidence

69%

GPT-5 Medium

OpenAIProprietary API

Best fit

Baseline OpenAI coding assistance.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena84Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

83.1

#40

Model

Confidence

69%

GPT-5.4

OpenAIProprietary API

Best fit

General OpenAI coding and product engineering tasks.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena84Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

83.1

#41

Model

Confidence

69%

MiniMax M2.1 Preview

MiniMaxMIT

Best fit

Preview-model web development comparison.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena84Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

83.1

#42

Model

Confidence

69%

GPT-5.1 Medium

OpenAIProprietary API

Best fit

Older OpenAI coding benchmark comparison.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena84Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

83.1

#43

Model

Confidence

69%

Grok 4.20 Beta Reasoning

xAIProprietary API

Best fit

Reasoning-heavy xAI coding tests and alternative model comparison.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena83Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

82.4

#44

Model

Confidence

69%

Claude Sonnet 4.5 Thinking

AnthropicProprietary API

Best fit

Thinking-mode coding and careful edit planning.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena83Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

82.4

#45

Model

Confidence

69%

Gemini 3 Flash Thinking Minimal

GoogleProprietary API

Best fit

Low-latency Gemini coding with minimal thinking behavior.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena83Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

82.4

#46

Model

Confidence

69%

Claude Opus 4.1

AnthropicProprietary API

Best fit

Legacy Opus-class coding and review comparisons.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena83Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

82.4

#47

Model

Confidence

69%

Claude Sonnet 4.5

AnthropicProprietary API

Best fit

Routine coding, bug fixes, and code review.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena83Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

82.4

#48

Model

Confidence

69%

MiniMax M2.5

MiniMaxModified MIT

Best fit

MiniMax coding model evaluation on web tasks.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena83Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

82.4

#49

Model

Confidence

69%

Gemma 4 31B

GoogleApache 2.0

Best fit

Open-source local or hosted coding experiments.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena83Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

82.4

#50

Model

Confidence

69%

GPT-5.3 Codex

OpenAIProprietary API

Best fit

Codex-style coding workflows and repository automation at the lower Arena score band.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena82Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

81.7

#51

Model

Confidence

69%

Grok 4.3

xAIProprietary API

Best fit

xAI coding assistant evaluation.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena82Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

81.7

#52

Model

Confidence

69%

DeepSeek V3.2 Thinking

DeepSeekMIT

Best fit

Reasoning-oriented open-weight coding tests.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena82Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

81.7

#53

Model

Confidence

69%

Qwen3.5 122B A10B

AlibabaApache 2.0

Best fit

Smaller Qwen self-hosted coding experiments.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena82Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

81.7

#54

Model

Confidence

69%

Hunyuan HY3 Preview

TencentTencent Hunyuan Community

Best fit

Tencent preview-model coding comparison.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena82Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

81.7

#55

Model

Confidence

69%

Gemma 4 26B A4B

GoogleApache 2.0

Best fit

Smaller open-source coding and local deployment tests.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena82Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

81.7

#56

Model

Confidence

69%

Qwen3.5 27B

AlibabaApache 2.0

Best fit

Lower-resource Qwen coding experiments.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena82Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

81.7

#57

Model

Confidence

69%

AlibabaApache 2.0

Best fit

Coder-specialized Qwen deployment and benchmark testing.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena77Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

78.3

#69

Model

Confidence

69%

Mistral Medium 3.5

MistralModified MIT

Best fit

Mistral coding benchmark comparison and EU-provider shortlist work.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena76Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

77.6

#70

Model

Confidence

69%

KAT-Coder-Pro-V1

KwaiKATProprietary API

Best fit

Coder-specialized comparison across web development tasks.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena76Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

77.6

#71

Model

Confidence

69%

Qwen3.5 35B A3B

AlibabaApache 2.0

Best fit

Smaller Qwen coding deployments and local evaluation.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena75Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

76.9

#72

Model

Confidence

69%

Gemini 3.1 Flash Lite Preview

GoogleProprietary API

Best fit

Low-latency Gemini coding assistant comparison.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena75Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

76.9

#73

Model

Confidence

69%

Trinity Large Thinking

Arcee AIApache 2.0

Best fit

Open-source thinking-model coding tests.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena75Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

76.9

#74

Model

Confidence

69%

GPT-5.1 Codex Mini

OpenAIProprietary API

Best fit

Lower-cost Codex-style coding support.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena74Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

76.2

#75

Model

Confidence

69%

Qwen3.5 Flash

AlibabaProprietary API

Best fit

Fast Qwen coding assistance and draft implementation.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena74Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

76.2

#76

Model

Confidence

69%

Grok 4.1 Fast Reasoning

xAIProprietary API

Best fit

Fast xAI reasoning on coding tasks.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena74Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

76.2

#77

Model

Confidence

69%

Mistral Large 3

MistralApache 2.0

Best fit

Mistral coding and reasoning comparison.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena73Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

75.5

#78

Model

Confidence

69%

Grok 4.1 Thinking

xAIProprietary API

Best fit

xAI thinking-mode coding tests.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena73Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

75.5

#79

Model

Confidence

69%

Gemini 2.5 Pro

GoogleProprietary API

Best fit

Legacy Gemini coding benchmark reference.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena72Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

74.8

#80

Model

Confidence

69%

Granite 4.1 8B

IBMApache 2.0

Best fit

Small open-source coding model experiments.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena72Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

74.8

#81

Model

Confidence

69%

Devstral 2

MistralModified MIT

Best fit

Developer-focused Mistral coding benchmark comparison.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena72Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

74.8

#82

Model

Confidence

69%

Mercury 2

Inception AIProprietary API

Best fit

Alternative model coding evaluation.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena70Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

73.5

#83

Model

Confidence

69%

Grok 4 Fast Reasoning

xAIProprietary API

Best fit

Fast Grok reasoning for coding prompts.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena69Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

72.8

#84

Model

Confidence

69%

Grok Code Fast 1

xAIProprietary API

Best fit

Code-specialized Grok assistant comparison.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena68Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

72.1

#85

Model

Confidence

69%

Devstral Medium 2507

MistralProprietary API

Best fit

Lower-ranked Mistral developer-model baseline.

Source coverage1/5

Low evidence: 1/5 sources · 69% confidence

Code Arena66Vals SWE-bench Verifiedn/aVals Vibe Code Benchn/aVellumn/aAA Indexn/a

Adjusted score

70.7

#86

Model

Confidence

69%

Decision guide

How to choose from this Best AI for Coding ranking

Snapshot 2026-06-16

Best for

Agentic coding workflows that edit files, run tests, and explain diffs.
Web development, refactoring, debugging, and framework-specific implementation tasks.
Teams comparing coding assistants before choosing an IDE plugin, API, or coding agent.

Evaluate

Run each finalist on a private repository test set with real issues and failing tests.
Compare diff quality, tool reliability, latency, price, context length, and rollback behavior.
Check whether the model follows security constraints and avoids changing unrelated files.

Avoid

Letting any model make autonomous production changes without human review.
Choosing only by general chat quality when the task is code execution and repository repair.
Treating missing leaderboard rows as proof that a model is weak; missing rows mean uncertainty.

Questions

Best AI for Coding FAQ

What is the best AI for coding?

The top row is the blended pick for this snapshot, but the right coding model still depends on your repository, tool access, latency target, and budget.

Why are missing benchmark sources not scored as zero?

A missing source row is uncertainty, not a failed benchmark. The adjusted score blends available quality signals with a confidence penalty instead of assuming zero performance.

Should the highest coding score be used automatically?

No. Use the ranking as a shortlist, then test the top models on your own repo tasks before standardizing.

Other ranking reports

Method note

Treat the winner as a shortlist, not a final procurement decision

The top model is the best blended pick for this query snapshot, but model choice should still account for price, latency, privacy, context length, tool access, safety settings, and your own benchmark prompts. Use this page to reduce the search space, then run a small evaluation on your real tasks before standardizing. See the methodology and editorial policy for source selection and correction standards.