Instruction following · Google DeepMind

Gemini 2.5 Pro Mini on IFEval: score, rank and what it means

Gemini 2.5 Pro Mini scores 81.5 on IFEval, placing it #287 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
81.5
0–100 scale
Rank
#287
of 600
Percentile
52th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
14.6
points

Score distribution

The chart shows the top 10 models on IFEval, with Gemini 2.5 Pro 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, Gemini 2.5 Pro Mini sits at #287 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 14.6 points. The median model in this index scores 81.2, which puts Gemini 2.5 Pro Mini above the midpoint.

Google DeepMind models average 85.7 on this benchmark. Gemini 2.5 Pro Mini is 4.2 points below that provider line, so it is a weaker result than the average Google DeepMind model.

Among multimodal models, the average is 85.2. Gemini 2.5 Pro Mini is 3.7 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 81.5 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 $10.07 per million input tokens, Gemini 2.5 Pro 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
Llama 3 Anyscale Base Anyscale 65536 $3.23 72.9
Llama 3 Lambda Lambda 65536 $3.90 75.6
Seed-OSS ByteDance 32768 $3.74 75.3
o4 Nano OpenAI 65536 $8.61 72.0
Gemini 2.5 Pro Mini Google DeepMind 128000 $10.07 74.2
Fusion Max OpenRouter 65536 $9.14 72.5
GPT-4.1 Mini OpenAI 128000 $10.43 74.3

Other benchmarks for Gemini 2.5 Pro Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.1 206 66th
GPQA Diamond 69.9 266 56th
SWE-bench Verified 63.6 242 60th
HumanEval 79.0 265 56th
MATH-500 76.0 298 50th
AIME 2025 68.2 292 51th
LiveCodeBench 65.4 284 53th
TruthfulQA 78.4 239 60th
HellaSwag 83.3 312 48th
MMMU 71.4 263 56th
Arena Elo 1399.4 209 65th

FAQ

What score does Gemini 2.5 Pro Mini get on IFEval?

Gemini 2.5 Pro Mini scores 81.5 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Gemini 2.5 Pro Mini rank on IFEval?

It ranks #287 of 600 models, in the 52nd percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Gemini 2.5 Pro Mini good at IFEval?

Yes, relative to the index: it is above the median and inside the top half of scores. 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 Gemini 2.5 Pro Mini cost?

Gemini 2.5 Pro Mini costs $10.07 per million input tokens and $53.47 per million output tokens.

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