Instruction following · OpenRouter

Auto Mini on IFEval: score, rank and what it means

Auto Mini scores 72.4 on IFEval, placing it #426 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
72.4
0–100 scale
Rank
#426
of 600
Percentile
29th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
23.7
points

Score distribution

The chart shows the top 10 models on IFEval, with Auto Mini highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg 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 Mini sits at #426 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 23.7 points. The median model in this index scores 81.2, which puts Auto Mini below the midpoint.

OpenRouter models average 77.2 on this benchmark. Auto Mini is 4.8 points below that provider line, so it is a weaker result than the average OpenRouter model.

Among mid-range models, the average is 76.5. Auto Mini is 4.1 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 72.4 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 $4.24 per million input tokens, Auto Mini 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.

ModelProviderContextInput / 1MAvg score
Kimi K1.5 8B Moonshot AI 8192 $1.54 62.2
Llama 4 Maverick 8B Meta AI 4096 $1.64 63.4
SmolLM3 Chat Hugging Face 16384 $1.61 62.1
GLM-4.5 8B Zhipu AI 32768 $1.46 61.3
Auto Mini OpenRouter 4096 $4.24 61.6
Kimi K1.5 7B Moonshot AI 8192 $1.35 59.9
Pythia Instruct EleutherAI 8192 $1.41 60.8

Other benchmarks for Auto Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 68.8 407 32th
GPQA Diamond 55.8 451 25th
SWE-bench Verified 48.8 431 28th
HumanEval 66.1 428 29th
MATH-500 62.1 442 26th
AIME 2025 49.8 462 23th
LiveCodeBench 53.1 417 31th
TruthfulQA 67.0 429 29th
HellaSwag 74.7 446 26th
MMMU 59.3 436 27th
Arena Elo 1290.3 431 28th

FAQ

What score does Auto Mini get on IFEval?

Auto Mini scores 72.4 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Auto Mini rank on IFEval?

It ranks #426 of 600 models, in the 29th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Auto Mini 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 Mini cost?

Auto Mini costs $4.24 per million input tokens and $18.05 per million output tokens.

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