Gemma 3 Base on HumanEval: score, rank and what it means
Gemma 3 Base scores 77.6 on HumanEval, placing it #297 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.
Score distribution
The chart shows the top 10 models on HumanEval, with Gemma 3 Base highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 2 | Gemini 3 Pro Pro | Google DeepMind | 200000 | $19.80 | 87.3 |
| 3 | o4 Max | OpenAI | 2000000 | $19.51 | 86.2 |
| 4 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 5 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 6 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 7 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 8 | Grok 4 Max | xAI | 2000000 | $19.70 | 86.6 |
| 9 | GPT-5.2 Turbo | OpenAI | 1000000 | $20.73 | 87.4 |
| 10 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
What this score means
On HumanEval, Gemma 3 Base sits at #297 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 19.2 points. The median model in this index scores 77.4, which puts Gemma 3 Base above the midpoint.
Google DeepMind models average 82.4 on this benchmark. Gemma 3 Base is 4.8 points below that provider line, so it is a weaker result than the average Google DeepMind model.
Among open-weight models, the average is 72.4. Gemma 3 Base is 5.2 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 77.6 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 $3.09 per million input tokens, Gemma 3 Base is below the median input price of $4.00 across the 600 models scored on HumanEval. 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 |
|---|---|---|---|---|
| Gemini 3 Pro Nano | Google DeepMind | 8192 | $9.11 | 73.2 |
| Llama 3.3 Base | Meta AI | 32768 | $3.63 | 74.0 |
| Mixtral Turbo | Together AI | 65536 | $3.20 | 72.4 |
| Reka Flash Turbo | Reka AI | 128000 | $10.19 | 75.1 |
| Gemma 3 Base | Google DeepMind | 65536 | $3.09 | 71.1 |
| Mistral Small 3 Base | Mistral AI | 16384 | $3.19 | 72.7 |
| Yi-Lightning Base | 01.AI | 16384 | $3.31 | 72.7 |
Other benchmarks for Gemma 3 Base
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 75.2 | 327 | 46th | |
| GPQA Diamond | 64.7 | 365 | 39th | |
| SWE-bench Verified | 60.6 | 315 | 48th | |
| MATH-500 | 72.8 | 359 | 40th | |
| AIME 2025 | 64.3 | 352 | 41th | |
| LiveCodeBench | 62.4 | 345 | 43th | |
| IFEval | 79.7 | 338 | 44th | |
| TruthfulQA | 75.6 | 318 | 47th | |
| HellaSwag | 81.6 | 358 | 40th | |
| MMMU | 67.7 | 349 | 42th | |
| Arena Elo | 1350.7 | 362 | 40th |
FAQ
What score does Gemma 3 Base get on HumanEval?
Gemma 3 Base scores 77.6 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.
How does Gemma 3 Base rank on HumanEval?
It ranks #297 of 600 models, in the 51st percentile. The leader is GPT-5.2 Pro at 96.8.
Is Gemma 3 Base good at HumanEval?
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 HumanEval score calculated?
HumanEval 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 Gemma 3 Base cost?
Gemma 3 Base costs $3.09 per million input tokens and $10.93 per million output tokens.