Llama 3.1 Turbo Chat on HumanEval: score, rank and what it means
Llama 3.1 Turbo Chat scores 80.9 on HumanEval, placing it #216 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 Chat 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 Chat sits at #216 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 15.9 points. The median model in this index scores 77.4, which puts Llama 3.1 Turbo Chat above the midpoint.
Together AI models average 68.4 on this benchmark. Llama 3.1 Turbo Chat is 12.5 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 Chat is 1.3 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 80.9 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 $3.95 per million input tokens, Llama 3.1 Turbo Chat 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 |
|---|---|---|---|---|
| Reka Flash Max | Reka AI | 32768 | $11.17 | 75.9 |
| Llama 3 Baseten | Baseten | 128000 | $3.62 | 74.9 |
| Llama 3 Replicate | Replicate | 200000 | $3.75 | 75.7 |
| Claude Sonnet 4.5 Mini | Anthropic | 32768 | $11.43 | 76.5 |
| Llama 3.1 Turbo Chat | Together AI | 200000 | $3.95 | 76.1 |
| Phi-4 Chat | Microsoft | 65536 | $3.66 | 74.7 |
| Codestral | Mistral AI | 65536 | $4.19 | 77.6 |
Other benchmarks for Llama 3.1 Turbo Chat
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 80.8 | 155 | 74th | |
| GPQA Diamond | 73.6 | 182 | 70th | |
| SWE-bench Verified | 64.2 | 230 | 62th | |
| MATH-500 | 81.5 | 176 | 71th | |
| AIME 2025 | 73.0 | 202 | 66th | |
| LiveCodeBench | 69.9 | 194 | 68th | |
| IFEval | 83.0 | 243 | 60th | |
| TruthfulQA | 76.0 | 307 | 49th | |
| HellaSwag | 83.7 | 294 | 51th | |
| MMMU | 70.9 | 275 | 54th | |
| Arena Elo | 1404.5 | 195 | 68th |
FAQ
What score does Llama 3.1 Turbo Chat get on HumanEval?
Llama 3.1 Turbo Chat scores 80.9 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.
How does Llama 3.1 Turbo Chat rank on HumanEval?
It ranks #216 of 600 models, in the 64th percentile. The leader is GPT-5.2 Pro at 96.8.
Is Llama 3.1 Turbo Chat 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 Chat cost?
Llama 3.1 Turbo Chat costs $3.95 per million input tokens and $20.39 per million output tokens.