Reasoning · Google DeepMind

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

Gemma 3 Chat scores 67.7 on GPQA Diamond, placing it #316 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
67.7
0–100 scale
Rank
#316
of 600
Percentile
47th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
19.3
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Gemma 3 Chat highlighted. Longer bars mean higher scores.

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Gemma 3 Chat sits at #316 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 19.3 points. The median model in this index scores 68.8, which puts Gemma 3 Chat below the midpoint.

Google DeepMind models average 73.4 on this benchmark. Gemma 3 Chat is 5.7 points below that provider line, so it is a weaker result than the average Google DeepMind model.

Among multimodal models, the average is 73.5. Gemma 3 Chat is 5.8 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 67.7 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 GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Yi-Large Base 01.AI 16384 $2.78 70.3
DBRX Chat Databricks 65536 $3.07 71.7
Llama 3 Novita Base Novita AI 8192 $3.06 70.3
Nova Lite Turbo Amazon 8192 $9.14 73.2
Gemma 3 Chat Google DeepMind 65536 $3.74 74.5
Llama 3 Baseten Base Baseten 16384 $3.16 72.4
Llama 3 Replicate Replicate 200000 $3.75 75.7

Other benchmarks for Gemma 3 Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.4 200 67th
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
IFEval 83.8 217 64th
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 GPQA Diamond?

Gemma 3 Chat scores 67.7 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Gemma 3 Chat rank on GPQA Diamond?

It ranks #316 of 600 models, in the 47th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Gemma 3 Chat good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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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