Coding · Google DeepMind

Gemini 3 Pro Reasoning on LiveCodeBench: score, rank and what it means

Gemini 3 Pro Reasoning scores 82.0 on LiveCodeBench, placing it #25 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
82.0
0–100 scale
Rank
#25
of 600
Percentile
96th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
3.1
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Gemini 3 Pro Reasoning highlighted. Longer bars mean higher scores.

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, Gemini 3 Pro Reasoning sits at #25 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 3.1 points. The median model in this index scores 64.7, which puts Gemini 3 Pro Reasoning above the midpoint.

Google DeepMind models average 70.8 on this benchmark. Gemini 3 Pro Reasoning is 11.2 points above that provider line, so it is a stronger result than the average Google DeepMind model.

Among frontier models, the average is 80.6. Gemini 3 Pro Reasoning is 1.4 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 82.0 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 $19.69 per million input tokens, Gemini 3 Pro Reasoning is above the median input price of $4.00 across the 600 models scored on LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
o3 Pro OpenAI 400000 $17.89 85.8
GPT-5.1 Pro OpenAI 200000 $19.77 87.8
Grok 4 xAI 200000 $17.90 86.5
Qwen3-Max Alibaba Cloud 400000 $17.37 84.4
Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
Claude Sonnet 4.5 Pro Anthropic 1000000 $18.73 86.7
Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

Other benchmarks for Gemini 3 Pro Reasoning

BenchmarkScoreRankPercentileRelative
MMLU-Pro 90.1 5 99th
GPQA Diamond 83.9 13 98th
SWE-bench Verified 76.3 27 96th
HumanEval 90.2 43 93th
MATH-500 93.3 9 99th
AIME 2025 88.8 12 98th
IFEval 93.8 13 98th
TruthfulQA 90.3 2 100th
HellaSwag 93.5 18 97th
MMMU 80.8 46 92th
Arena Elo 1485.0 16 97th

FAQ

What score does Gemini 3 Pro Reasoning get on LiveCodeBench?

Gemini 3 Pro Reasoning scores 82.0 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Gemini 3 Pro Reasoning rank on LiveCodeBench?

It ranks #25 of 600 models, in the 96th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Gemini 3 Pro Reasoning good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench is a coding 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 3 Pro Reasoning cost?

Gemini 3 Pro Reasoning costs $19.69 per million input tokens and $98.36 per million output tokens.

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