Auto on IFEval: score, rank and what it means
Auto scores 77.3 on IFEval, placing it #375 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.
Score distribution
The chart shows the top 10 models on IFEval, with Auto highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 2 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 3 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 4 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 5 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 6 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 7 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
| 8 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 9 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 10 | o4 Reasoning | OpenAI | 1000000 | $19.69 | 87.5 |
What this score means
On IFEval, Auto sits at #375 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 18.8 points. The median model in this index scores 81.2, which puts Auto below the midpoint.
OpenRouter models average 77.2 on this benchmark. Auto is 0.1 points above that provider line, so it is a stronger result than the average OpenRouter model.
Among mid-range models, the average is 76.5. Auto is 0.8 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 77.3 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 $7.53 per million input tokens, Auto is above the median input price of $4.00 across the 600 models scored on IFEval. 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 |
| Molmo | Allen Institute for AI | 32768 | $2.49 | 68.5 |
| Sonar Mini | Perplexity | 65536 | $6.52 | 67.9 |
| Firesearch Turbo | Fireworks AI | 16384 | $7.58 | 69.3 |
| Auto | OpenRouter | 32768 | $7.53 | 70.2 |
| Firesearch Reasoning | Fireworks AI | 32768 | $7.74 | 69.0 |
| Phi-3.5 | Microsoft | 16384 | $2.81 | 70.9 |
Other benchmarks for Auto
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 73.6 | 362 | 40th | |
| GPQA Diamond | 63.9 | 378 | 37th | |
| SWE-bench Verified | 58.1 | 355 | 41th | |
| HumanEval | 75.2 | 340 | 43th | |
| MATH-500 | 74.1 | 343 | 43th | |
| AIME 2025 | 67.0 | 313 | 48th | |
| LiveCodeBench | 59.0 | 378 | 37th | |
| TruthfulQA | 73.8 | 357 | 41th | |
| HellaSwag | 81.1 | 364 | 39th | |
| MMMU | 69.6 | 314 | 48th | |
| Arena Elo | 1341.2 | 378 | 37th |
FAQ
What score does Auto get on IFEval?
Auto scores 77.3 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.
How does Auto rank on IFEval?
It ranks #375 of 600 models, in the 38th percentile. The leader is Claude Opus 4.5 Pro at 96.1.
Is Auto good at IFEval?
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 IFEval score calculated?
IFEval is a instruction following 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 cost?
Auto costs $7.53 per million input tokens and $29.19 per million output tokens.