Llama 3.1 Turbo on HumanEval: score, rank and what it means
Llama 3.1 Turbo scores 80.1 on HumanEval, placing it #230 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 Llama 3.1 Turbo 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, Llama 3.1 Turbo sits at #230 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 16.7 points. The median model in this index scores 77.4, which puts Llama 3.1 Turbo above the midpoint.
Together AI models average 68.4 on this benchmark. Llama 3.1 Turbo is 11.7 points above that provider line, so it is a stronger result than the average Together AI model.
Among multimodal models, the average is 82.2. Llama 3.1 Turbo is 2.1 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 80.1 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 $4.17 per million input tokens, Llama 3.1 Turbo is above 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 3.3 Groq Chat | Groq | 32768 | $4.06 | 76.8 |
| Nova Lite Max | Amazon | 200000 | $9.79 | 73.4 |
| Seed-OSS Instruct | ByteDance | 128000 | $3.79 | 76.0 |
| Gemini 3 Flash Mini | Google DeepMind | 200000 | $10.71 | 76.0 |
| Llama 3.1 Turbo | Together AI | 200000 | $4.17 | 76.8 |
| Mistral Small 3 Chat | Mistral AI | 200000 | $3.54 | 73.7 |
| Reka Flash | Reka AI | 128000 | $9.95 | 74.1 |
Other benchmarks for Llama 3.1 Turbo
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 79.8 | 188 | 69th | |
| GPQA Diamond | 72.0 | 220 | 63th | |
| SWE-bench Verified | 63.6 | 245 | 59th | |
| MATH-500 | 79.8 | 215 | 64th | |
| AIME 2025 | 72.2 | 214 | 64th | |
| LiveCodeBench | 69.9 | 193 | 68th | |
| IFEval | 83.6 | 225 | 63th | |
| TruthfulQA | 81.5 | 141 | 77th | |
| HellaSwag | 87.9 | 145 | 76th | |
| MMMU | 74.1 | 187 | 69th | |
| Arena Elo | 1392.6 | 238 | 60th |
FAQ
What score does Llama 3.1 Turbo get on HumanEval?
Llama 3.1 Turbo scores 80.1 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.
How does Llama 3.1 Turbo rank on HumanEval?
It ranks #230 of 600 models, in the 62nd percentile. The leader is GPT-5.2 Pro at 96.8.
Is Llama 3.1 Turbo 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 Llama 3.1 Turbo cost?
Llama 3.1 Turbo costs $4.17 per million input tokens and $21.10 per million output tokens.