Instruction following · Google DeepMind

Gemma 3 Chat on IFEval: score, rank and what it means

Gemma 3 Chat scores 83.8 on IFEval, placing it #217 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
83.8
0–100 scale
Rank
#217
of 600
Percentile
64th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
12.3
points

Score distribution

The chart shows the top 10 models on IFEval, with Gemma 3 Chat 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, Gemma 3 Chat sits at #217 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 12.3 points. The median model in this index scores 81.2, which puts Gemma 3 Chat above the midpoint.

Google DeepMind models average 85.7 on this benchmark. Gemma 3 Chat is 1.9 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. Gemma 3 Chat is 1.4 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 83.8 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 $3.74 per million input tokens, Gemma 3 Chat is below 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
MiniMax-Text Chat MiniMax 128000 $4.26 77.8
Phi-4 Chat Microsoft 65536 $3.66 74.7
ERNIE 4.0 Reasoning Baidu 65536 $12.20 77.8
Llama 3 Baseten Baseten 128000 $3.62 74.9
Gemma 3 Chat Google DeepMind 65536 $3.74 74.5
Llama 3 Hyperbolic Hyperbolic 65536 $3.86 74.5
Llama 3 Modal Instruct Modal 128000 $3.84 75.2

Other benchmarks for Gemma 3 Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.4 200 67th
GPQA Diamond 67.7 316 47th
SWE-bench Verified 65.2 210 65th
HumanEval 79.2 258 57th
MATH-500 78.7 244 59th
AIME 2025 70.6 244 59th
LiveCodeBench 64.6 304 49th
TruthfulQA 76.5 292 51th
HellaSwag 84.1 276 54th
MMMU 70.2 291 52th
Arena Elo 1374.6 297 51th

FAQ

What score does Gemma 3 Chat get on IFEval?

Gemma 3 Chat scores 83.8 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Gemma 3 Chat rank on IFEval?

It ranks #217 of 600 models, in the 64th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Gemma 3 Chat 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 Gemma 3 Chat cost?

Gemma 3 Chat costs $3.74 per million input tokens and $15.14 per million output tokens.

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