Mistral Large 3 1.5B on HumanEval: score, rank and what it means
Mistral Large 3 1.5B scores 56.6 on HumanEval, placing it #534 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 Mistral Large 3 1.5B 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, Mistral Large 3 1.5B sits at #534 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 40.2 points. The median model in this index scores 77.4, which puts Mistral Large 3 1.5B below the midpoint.
Mistral AI models average 71.6 on this benchmark. Mistral Large 3 1.5B is 15.0 points below that provider line, so it is a weaker result than the average Mistral AI model.
Among small open-weight models, the average is 56.7. Mistral Large 3 1.5B is 0.1 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 56.6 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 $0.82 per million input tokens, Mistral Large 3 1.5B 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 |
|---|---|---|---|---|
| Llama 3 DeepInfra 7B | DeepInfra | 16384 | $0.95 | 55.6 |
| Phi-4 8B | Microsoft | 32768 | $0.96 | 54.9 |
| Mixtral 7B | Mistral AI | 16384 | $0.70 | 54.1 |
| GLM-4.5 1.5B | Zhipu AI | 16384 | $0.65 | 53.3 |
| Mistral Large 3 1.5B | Mistral AI | 32768 | $0.82 | 55.4 |
| Mixtral Groq 8B | Groq | 32768 | $0.77 | 54.8 |
| OLMo 2 7B | Allen Institute for AI | 16384 | $0.56 | 51.7 |
Other benchmarks for Mistral Large 3 1.5B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 62.2 | 499 | 17th | |
| GPQA Diamond | 52.3 | 497 | 17th | |
| SWE-bench Verified | 38.2 | 537 | 11th | |
| MATH-500 | 56.6 | 500 | 17th | |
| AIME 2025 | 47.6 | 472 | 21th | |
| LiveCodeBench | 43.3 | 513 | 15th | |
| IFEval | 67.1 | 503 | 16th | |
| TruthfulQA | 60.1 | 528 | 12th | |
| HellaSwag | 71.9 | 502 | 16th | |
| MMMU | 53.8 | 511 | 15th | |
| Arena Elo | 1243.2 | 502 | 16th |
FAQ
What score does Mistral Large 3 1.5B get on HumanEval?
Mistral Large 3 1.5B scores 56.6 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.
How does Mistral Large 3 1.5B rank on HumanEval?
It ranks #534 of 600 models, in the 11th percentile. The leader is GPT-5.2 Pro at 96.8.
Is Mistral Large 3 1.5B good at HumanEval?
It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 Mistral Large 3 1.5B cost?
Mistral Large 3 1.5B costs $0.82 per million input tokens and $3.17 per million output tokens.