Mathematics · Google DeepMind

Gemma 3 8B on AIME 2025: score, rank and what it means

Gemma 3 8B scores 43.5 on AIME 2025, placing it #516 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
43.5
0–100 scale
Rank
#516
of 600
Percentile
14th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
47.9
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Gemma 3 8B highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, Gemma 3 8B sits at #516 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 47.9 points. The median model in this index scores 67.6, which puts Gemma 3 8B below the midpoint.

Google DeepMind models average 74.8 on this benchmark. Gemma 3 8B is 31.3 points below that provider line, so it is a weaker result than the average Google DeepMind model.

Among small open-weight models, the average is 41.6. Gemma 3 8B is 1.9 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 43.5 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 $0.96 per million input tokens, Gemma 3 8B is below the median input price of $4.00 across the 600 models scored on AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Modal 8B Modal 32768 $0.98 56.6
Yi-Large 8B 01.AI 32768 $0.88 56.1
Llama 3 DeepInfra 7B DeepInfra 16384 $0.95 55.6
Hunyuan-Large 7B Tencent 32768 $1.08 57.7
Gemma 3 8B Google DeepMind 16384 $0.96 56.5
Llama 4 Scout 1.5B Meta AI 8192 $0.66 53.0
Phi-4 8B Microsoft 32768 $0.96 54.9

Other benchmarks for Gemma 3 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 64.1 467 22th
GPQA Diamond 50.4 519 14th
SWE-bench Verified 41.7 502 16th
HumanEval 61.6 471 22th
MATH-500 58.8 479 20th
LiveCodeBench 46.8 478 20th
IFEval 67.3 498 17th
TruthfulQA 63.1 487 19th
HellaSwag 70.8 525 13th
MMMU 53.0 518 14th
Arena Elo 1248.2 493 18th

FAQ

What score does Gemma 3 8B get on AIME 2025?

Gemma 3 8B scores 43.5 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Gemma 3 8B rank on AIME 2025?

It ranks #516 of 600 models, in the 14th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Gemma 3 8B good at AIME 2025?

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 AIME 2025 score calculated?

AIME 2025 is a mathematics 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 8B cost?

Gemma 3 8B costs $0.96 per million input tokens and $4.88 per million output tokens.

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