300 models ranked for debugging. Scored with bonuses for reasoning capabilities (+10), large context (128K+ tokens), streaming, function calling (structured API access), and JSON mode (structured output).
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 ProOpenAI | 94 |
| 2 | GPT-5.4OpenAI | 94 |
| 3 | GPT-5.4 MiniOpenAI | 93 |
| 4 | GPT-5.2 ProOpenAI | 93 |
| 5 | GPT-5.2OpenAI | 93 |
| 6 | Claude Opus 4.6Anthropic | 92 |
| 7 | GPT-5 ProOpenAI | 92 |
| 8 | o3 Deep ResearchOpenAI | 92 |
| 9 | Claude Opus 4.5Anthropic | 90 |
| 10 | GPT-5OpenAI | 90 |
| 11 | Gemini 3 Flash PreviewGoogle | 89 |
| 12 | Claude Sonnet 4.6Anthropic | 89 |
| 13 | Claude Sonnet 4.5Anthropic | 89 |
| 14 | o3 ProOpenAI | 88 |
| 15 | Grok 4.1 FastxAI | 87 |
| 16 | Grok 4.20 BetaxAI | 86 |
| 17 | Grok 4xAI | 86 |
| 18 | Gemini 3.1 Pro PreviewGoogle | 86 |
| 19 | o3OpenAI | 86 |
| 20 | GPT-5.1OpenAI | 85 |
| 21 | MiMo-V2-OmniXiaomi | 85 |
| 22 | MiMo-V2-ProXiaomi | 85 |
| 23 | GPT-5.4 NanoOpenAI | 85 |
| 24 | Seed-2.0-LiteByteDance | 85 |
| 25 | Qwen3.5-9BAlibaba | 85 |
| 26 | Seed-2.0-MiniByteDance | 85 |
| 27 | Gemini 3.1 Pro Preview Custom ToolsGoogle | 85 |
| 28 | GPT-5.3-CodexOpenAI | 85 |
| 29 | Qwen3.5 Plus 2026-02-15Alibaba | 85 |
| 30 | Kimi K2.5Moonshot AI | 85 |
Analyze error messages, logs, and code context to identify underlying issues. Models with reasoning capabilities excel at tracing back from symptoms to root causes, explaining why the bug occurred rather than just what went wrong.
Parse complex stack traces and identify the critical call chain. Large context windows (128K+) let models ingest entire log files and related source code. Reasoning models can follow the execution flow and pinpoint where logic diverged from expectations.
Correlate events across log files, identify patterns in failures, and spot timing issues. Streaming capability lets you see debugging steps in real-time. JSON mode enables structured extraction of relevant log entries for downstream analysis or incident tracking.
Compare code diffs against failing tests and identify which change introduced the regression. Function calling capability enables integration with version control and CI/CD systems to automatically fetch context. Reasoning helps explain how the change caused the failure.
Based on our composite scoring updated hourly, the top-ranked models are shown at the top of this page. Rankings consider benchmarks, pricing, capabilities, and community adoption.
Yes, several models listed on this page offer free tiers or are fully open-source. Look for models marked as Free in the pricing column above.
We use a composite scoring system combining benchmark performance, capability matching, pricing, context window size, and community adoption. Scores are updated hourly.
Rankings refresh every hour using real-time data from benchmarks, API testing, and community metrics. The data shown always reflects the most current performance.