Gemini 2.5 Pro Max on LiveCodeBench: score, rank and what it means
Gemini 2.5 Pro Max scores 79.9 on LiveCodeBench, placing it #45 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 distribution
The chart shows the top 10 models on LiveCodeBench, with Gemini 2.5 Pro Max highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg 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 2.5 Pro Max sits at #45 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 5.2 points. The median model in this index scores 64.7, which puts Gemini 2.5 Pro Max above the midpoint.
Google DeepMind models average 70.8 on this benchmark. Gemini 2.5 Pro Max is 9.1 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 2.5 Pro Max is 0.7 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 79.9 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 $16.94 per million input tokens, Gemini 2.5 Pro Max 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.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| Gemini 3 Flash Pro | Google DeepMind | 400000 | $17.71 | 84.8 |
| Claude Opus 4.5 Vision | Anthropic | 200000 | $17.70 | 85.9 |
| o4 Turbo | OpenAI | 2000000 | $19.34 | 86.6 |
| Gemini 2.5 Pro Max | Google DeepMind | 200000 | $16.94 | 84.8 |
| GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| Grok 3 Max | xAI | 2000000 | $17.66 | 85.9 |
Other benchmarks for Gemini 2.5 Pro Max
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 86.7 | 42 | 93th | |
| GPQA Diamond | 79.8 | 59 | 90th | |
| SWE-bench Verified | 75.5 | 36 | 94th | |
| HumanEval | 87.0 | 88 | 85th | |
| MATH-500 | 91.6 | 31 | 95th | |
| AIME 2025 | 82.6 | 59 | 90th | |
| IFEval | 91.3 | 47 | 92th | |
| TruthfulQA | 85.5 | 57 | 91th | |
| HellaSwag | 92.9 | 24 | 96th | |
| MMMU | 79.7 | 62 | 90th | |
| Arena Elo | 1450.2 | 72 | 88th |
FAQ
What score does Gemini 2.5 Pro Max get on LiveCodeBench?
Gemini 2.5 Pro Max scores 79.9 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.
How does Gemini 2.5 Pro Max rank on LiveCodeBench?
It ranks #45 of 600 models, in the 93rd percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.
Is Gemini 2.5 Pro Max 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 2.5 Pro Max cost?
Gemini 2.5 Pro Max costs $16.94 per million input tokens and $64.80 per million output tokens.