Rankings come from what real users say about AI models on public forums, not from benchmarks. Refreshed every month.

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Best AI model for coding (October 2026)

Updated Oct 29, 2026 · Based on public comments from Aug 29, 2026 to Oct 28, 2026

Which model do developers actually reach for when they write, debug and review code? We read what people said about each model in programming and AI communities, counting only comments that judged a model on coding work.

Best overall: Claude Opus 5.5. Nearly every coding opinion about it was positive, often from people who switched to it from other tools.

Best open model: Qwen3.8 (especially the 27B and Flash Next builds), with DeepSeek V4.1 and GLM 5.3 close behind.

Weakest reception: Grok 4.7 and Gemini 4 Argon, where most coding opinions were complaints.

The ranking

Score = share of positive opinions, smoothed toward 50 for small samples.positivemixednegative

  1. #1Claude Opus 5.5Anthropic92/100 · 96% positive · 47 opinions

    Developers describe it as the most dependable model for real projects and agentic coding in Claude Code. The one recurring complaint is cost and usage limits, not quality.

    Sources: praise in r/ClaudeAI · praise in r/OpenAI · mixed in r/singularity

  2. #2Qwen3.8Alibaba86/100 · 95% positive · 20 opinions

    Local users praise it as the strongest coding model you can run yourself, good enough to replace paid models for everyday tasks. A few found DeepSeek better at catching edge cases.

    Sources: praise in r/ChatGPTCoding · praise in r/LocalLLaMA · complaint in r/LocalLLaMA

  3. #3DeepSeek V4.1DeepSeek82/100 · 93% positive · 15 opinions

    Liked for bug finding and code review at a very low price. One tester said the Flash build writes code that looks right but runs poorly.

    Sources: praise in r/LocalLLaMA · praise in r/LocalLLaMA · complaint in r/OpenAI

  4. #4GLM 5.3Zhipu AI80/100 · 90% positive · 10 opinions (small sample)

    Seen as a cheap, solid coder, especially the Flash variant for long agentic sessions such as game development.

    Sources: praise in r/ChatGPTCoding · praise in r/LocalLLaMA · mixed in r/singularity

  5. #5Claude Sonnet 5.5Anthropic77/100 · 80% positive · 25 opinions

    A popular everyday workhorse that many pair with Opus for harder problems. Some users found the highest reasoning setting no better than lower ones.

    Sources: praise in r/OpenAI · praise in r/GeminiAI · complaint in r/cursor

  6. #6GPT-6 AstraOpenAI75/100 · 76% positive · 21 opinions

    Respected for hard problems and high-level design decisions, and often used as a code reviewer. Critics say it over-engineers and its chat app struggles with long coding sessions.

    Sources: praise in r/LocalLLaMA · praise in r/OpenAI · complaint in r/OpenAI

  7. #7GPT-6.1 SolOpenAI74/100 · 81% positive · 16 opinions

    Liked by heavy users for volume and value. Critics say the 6.x versions are lazier than 5.6 and search the codebase less carefully.

    Sources: praise in r/OpenAI · praise in r/GeminiAI · complaint in r/ChatGPT

  8. #8Claude Haiku 5.5Anthropic50/100 · 33% positive · 6 opinions (small sample)

    Fine for small, cheap tasks when you want to stretch a plan. Several people found it noticeably worse than Sonnet or a local Qwen.

    Sources: praise in r/ClaudeAI · praise in r/cursor · complaint in r/LocalLLaMA

  9. #9Gemini 3.8 FlashGoogle47/100 · 40% positive · 10 opinions (small sample)

    Some use it for small, quick coding tasks without problems. Others report frequent mistakes and weak planning on anything complex.

    Sources: praise in r/GeminiAI · praise in r/GeminiAI · complaint in r/GeminiAI

  10. #10Gemini 4 ArgonGoogle46/100 · 35% positive · 23 opinions

    Opinions split: some like its design taste and use it to clean up code, but many complain about tight usage limits and mistakes in Antigravity.

    Sources: praise in r/GeminiAI · praise in r/singularity · complaint in r/singularity

  11. #11Gemma 4Google36/100 · 17% positive · 6 opinions (small sample)

    Gemma fans themselves say it is not a coding model and would rather it stay strong at conversation and writing.

    Sources: praise in r/GeminiAI · complaint in r/LocalLLaMA

  12. #12Grok 4.7xAI25/100 · 13% positive · 15 opinions

    Mostly negative. A few use it to execute plans written by a stronger model, but most commenters rate it below both premium and budget alternatives.

    Sources: praise in r/GeminiAI · praise in r/cursor · complaint in r/cursor

How this ranking works

We read public comments about AI models posted between Aug 29, 2026 and Oct 28, 2026, kept the ones that judged a specific model version on this task, and labeled each as positive, mixed or negative. Each person counts at most a few times, and bots and off-topic mentions are left out. Rankings show what users report, not lab benchmarks, and a loud minority can sway small samples. Read the full method.

This page is refreshed every month. Model names change fast, so always check which version a review is about.

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