Best AI Models for Reasoning
A composite ranking for multi-step reasoning, abstract inference, and difficult question answering. The table favors models with evidence across more than one reasoning benchmark.
GPT-5.4 Pro
OpenAI
GPT-5.5
OpenAI
Gemini 3.5 Flash
Google DeepMind
Ranked model table
Scores are based on the visible benchmark set and available metadata.
| Rank | Model | Score | Evidence | Input price | Context |
|---|---|---|---|---|---|
| #1 | GPT-5.4 Pro OpenAI | 94.7 | 5 benchmarks · High | $30/M | 1.1M |
| #2 | GPT-5.5 OpenAI | 89.7 | 2 benchmarks · Medium | $5.00/M | 400K |
| #3 | Gemini 3.5 Flash Google DeepMind | 88.3 | 4 benchmarks · High | $1.50/M | 1.0M |
| #4 | GPT-5.4 OpenAI | 86.3 | 4 benchmarks · High | $2.50/M | 1.1M |
| #5 | Claude Opus 4.7 Anthropic | 84 | 5 benchmarks · High | $5.00/M | 1M |
| #6 | Claude Opus 4.8 Anthropic | 83.3 | 4 benchmarks · High | $5.00/M | 1M |
| #7 | Claude Opus 4.6 Anthropic | 83.2 | 5 benchmarks · High | $5.00/M | 1M |
| #8 | Qwen3.7 Max Alibaba Qwen | 79.3 | 2 benchmarks · Medium | $1.25/M | 1M |
| #9 | Claude Sonnet 4.6 Anthropic | 77.6 | 3 benchmarks · Medium | $3.00/M | 1M |
| #10 | Grok 4.20 xAI | 77.5 | 2 benchmarks · Medium | $1.25/M | 2M |
| #11 | GPT-5.2 Pro OpenAI | 68.4 | 3 benchmarks · Medium | $21/M | 400K |
| #12 | GPT-5.2 OpenAI | 68.1 | 5 benchmarks · High | $1.75/M | 400K |
Reasoning benchmarks are proxies. A high score here does not guarantee better answers in every professional or domain-specific setting.
BenchGecko ranks models from published benchmark scores and model metadata. Scores do not measure every use case, and missing data can affect rankings.
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Questions
What makes a model good at reasoning?
BenchGecko uses published scores on reasoning benchmarks such as GPQA Diamond, BBH, ARC-AGI, SimpleBench, and HLE.
Why not use one benchmark only?
Single benchmarks can be saturated or narrow. The composite uses multiple reasoning tests and labels confidence by evidence coverage.
Are missing scores counted as zero?
No. Missing scores reduce coverage confidence but are not treated as failed benchmark attempts.