Preference · Google DeepMind

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

Gemma 3 Chat scores 1374.6 on Arena Elo, placing it #297 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1374.6
0–100 scale
Rank
#297
of 600
Percentile
51th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
127.3
points

Score distribution

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

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, Gemma 3 Chat sits at #297 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 127.3 points. The median model in this index scores 1373.8, which puts Gemma 3 Chat above the midpoint.

Google DeepMind models average 1412.2 on this benchmark. Gemma 3 Chat is 37.6 points below that provider line, so it is a weaker result than the average Google DeepMind model.

Among multimodal models, the average is 1409.6. Gemma 3 Chat is 35.0 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 1374.6 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 Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
DBRX Instruct Databricks 8192 $3.21 72.4
o4 Nano OpenAI 65536 $8.61 72.0
Llama 3 DeepInfra Base DeepInfra 16384 $2.95 71.8
Mixtral Groq Chat Groq 8192 $3.09 72.0
Gemma 3 Chat Google DeepMind 65536 $3.74 74.5
Grok 4 Nano xAI 16384 $8.97 72.7
Phi-4 Base Microsoft 32768 $3.15 71.2

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
IFEval 83.8 217 64th
TruthfulQA 76.5 292 51th
HellaSwag 84.1 276 54th
MMMU 70.2 291 52th

FAQ

What score does Gemma 3 Chat get on Arena Elo?

Gemma 3 Chat scores 1374.6 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Gemma 3 Chat rank on Arena Elo?

It ranks #297 of 600 models, in the 51st percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Gemma 3 Chat good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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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