Auto Max on LiveCodeBench: score, rank and what it means
Auto Max scores 60.0 on LiveCodeBench, placing it #368 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.
Score distribution
The chart shows the top 10 models on LiveCodeBench, with Auto Max highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 2 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 3 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 4 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 5 | Grok 4 Turbo | xAI | 1000000 | $19.21 | 86.7 |
| 6 | GPT-5.1 Turbo | OpenAI | 2000000 | $19.19 | 86.1 |
| 7 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 8 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 9 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 10 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
What this score means
On LiveCodeBench, Auto Max sits at #368 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 25.1 points. The median model in this index scores 64.7, which puts Auto Max below the midpoint.
OpenRouter models average 58.5 on this benchmark. Auto Max is 1.5 points above that provider line, so it is a stronger result than the average OpenRouter model.
Among mid-range models, the average is 58.3. Auto Max is 1.7 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 60.0 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 $8.41 per million input tokens, Auto Max is above the median input price of $4.00 across the 600 models scored on LiveCodeBench. 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 |
|---|---|---|---|---|
| Gemini 3 Flash Nano | Google DeepMind | 32768 | $7.56 | 69.4 |
| o3 Nano | OpenAI | 32768 | $7.78 | 70.6 |
| Auto Turbo | OpenRouter | 65536 | $7.96 | 70.9 |
| Command A Mini | Cohere | 8192 | $8.12 | 71.0 |
| Auto Max | OpenRouter | 8192 | $8.41 | 71.2 |
| Claude Haiku 4.5 Nano | Anthropic | 8192 | $6.47 | 68.7 |
| OLMo 2 | Allen Institute for AI | 65536 | $2.99 | 71.0 |
Other benchmarks for Auto Max
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 74.5 | 342 | 43th | |
| GPQA Diamond | 69.4 | 280 | 53th | |
| SWE-bench Verified | 58.7 | 345 | 43th | |
| HumanEval | 73.7 | 360 | 40th | |
| MATH-500 | 72.6 | 361 | 40th | |
| AIME 2025 | 68.5 | 287 | 52th | |
| IFEval | 78.1 | 366 | 39th | |
| TruthfulQA | 77.5 | 267 | 56th | |
| HellaSwag | 83.5 | 302 | 50th | |
| MMMU | 66.2 | 367 | 39th | |
| Arena Elo | 1365.1 | 331 | 45th |
FAQ
What score does Auto Max get on LiveCodeBench?
Auto Max scores 60.0 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.
How does Auto Max rank on LiveCodeBench?
It ranks #368 of 600 models, in the 39th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.
Is Auto Max good at LiveCodeBench?
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 LiveCodeBench score calculated?
LiveCodeBench is a coding 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 Max cost?
Auto Max costs $8.41 per million input tokens and $40.47 per million output tokens.