Auto Reasoning on MATH-500: score, rank and what it means
Auto Reasoning scores 74.6 on MATH-500, placing it #335 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.
Score distribution
The chart shows the top 10 models on MATH-500, with Auto Reasoning highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 2 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 3 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 4 | o4 Reasoning | OpenAI | 1000000 | $19.69 | 87.5 |
| 5 | Grok 4 Max | xAI | 2000000 | $19.70 | 86.6 |
| 6 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 7 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 8 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 9 | Gemini 3 Pro Reasoning | Google DeepMind | 200000 | $19.69 | 87.5 |
| 10 | Claude Opus 4.5 Turbo | Anthropic | 2000000 | $19.57 | 85.7 |
What this score means
On MATH-500, Auto Reasoning sits at #335 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 22.1 points. The median model in this index scores 76.0, which puts Auto Reasoning below the midpoint.
OpenRouter models average 70.2 on this benchmark. Auto Reasoning is 4.4 points above that provider line, so it is a stronger result than the average OpenRouter model.
Among mid-range models, the average is 70.0. Auto Reasoning is 4.6 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 74.6 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.
Price context
At $8.39 per million input tokens, Auto Reasoning is above the median input price of $4.00 across the 600 models scored on MATH-500. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Reka Flash | Reka AI | 128000 | $9.95 | 74.1 |
| GPT-5.2 Nano | OpenAI | 128000 | $9.73 | 73.5 |
| Sonar Pro Mini | Perplexity | 8192 | $8.02 | 70.3 |
| Mixtral Groq Chat | Groq | 8192 | $3.09 | 72.0 |
| Auto Reasoning | OpenRouter | 65536 | $8.39 | 71.5 |
| Claude 3.7 Sonnet Mini | Anthropic | 32768 | $9.74 | 73.0 |
| Firefunction Pro | Fireworks AI | 16384 | $9.05 | 72.9 |
Other benchmarks for Auto Reasoning
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 77.3 | 266 | 56th | |
| GPQA Diamond | 65.8 | 344 | 43th | |
| SWE-bench Verified | 60.9 | 301 | 50th | |
| HumanEval | 77.3 | 302 | 50th | |
| AIME 2025 | 62.5 | 369 | 39th | |
| LiveCodeBench | 65.1 | 290 | 52th | |
| IFEval | 78.2 | 362 | 40th | |
| TruthfulQA | 74.7 | 337 | 44th | |
| HellaSwag | 81.6 | 357 | 41th | |
| MMMU | 68.1 | 341 | 43th | |
| Arena Elo | 1366.4 | 329 | 45th |
FAQ
What score does Auto Reasoning get on MATH-500?
Auto Reasoning scores 74.6 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.
How does Auto Reasoning rank on MATH-500?
It ranks #335 of 600 models, in the 44th percentile. The leader is GPT-5.2 Max at 96.7.
Is Auto Reasoning good at MATH-500?
It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.
How is the MATH-500 score calculated?
MATH-500 is a mathematics benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.
What does Auto Reasoning cost?
Auto Reasoning costs $8.39 per million input tokens and $36.43 per million output tokens.