Gemini 3 Flash Pro on LiveCodeBench: score, rank and what it means
Gemini 3 Flash Pro scores 80.2 on LiveCodeBench, placing it #42 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 3 Flash Pro 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 3 Flash Pro sits at #42 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 4.9 points. The median model in this index scores 64.7, which puts Gemini 3 Flash Pro above the midpoint.
Google DeepMind models average 70.8 on this benchmark. Gemini 3 Flash Pro is 9.4 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 Flash Pro is 0.4 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 80.2 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 $17.71 per million input tokens, Gemini 3 Flash Pro 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 |
|---|---|---|---|---|
| o4 Max | OpenAI | 2000000 | $19.51 | 86.2 |
| GPT-4.1 Reasoning | OpenAI | 1000000 | $16.97 | 83.8 |
| DeepSeek-V3.2 | DeepSeek | 1000000 | $5.88 | 84.0 |
| 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 |
Other benchmarks for Gemini 3 Flash Pro
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 87.0 | 35 | 94th | |
| GPQA Diamond | 77.7 | 93 | 85th | |
| SWE-bench Verified | 73.3 | 61 | 90th | |
| HumanEval | 89.9 | 47 | 92th | |
| MATH-500 | 91.8 | 26 | 96th | |
| AIME 2025 | 79.9 | 90 | 85th | |
| IFEval | 92.8 | 22 | 96th | |
| TruthfulQA | 86.2 | 48 | 92th | |
| HellaSwag | 90.6 | 74 | 88th | |
| MMMU | 83.0 | 22 | 96th | |
| Arena Elo | 1469.2 | 35 | 94th |
FAQ
What score does Gemini 3 Flash Pro get on LiveCodeBench?
Gemini 3 Flash Pro scores 80.2 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.
How does Gemini 3 Flash Pro rank on LiveCodeBench?
It ranks #42 of 600 models, in the 93rd percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.
Is Gemini 3 Flash Pro 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 Flash Pro cost?
Gemini 3 Flash Pro costs $17.71 per million input tokens and $86.50 per million output tokens.