Llama 3 Baseten Instruct on HumanEval: score, rank and what it means
Llama 3 Baseten Instruct scores 78.6 on HumanEval, placing it #273 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 Baseten Instruct 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 Baseten Instruct sits at #273 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 18.2 points. The median model in this index scores 77.4, which puts Llama 3 Baseten Instruct above the midpoint.
Baseten models average 68.7 on this benchmark. Llama 3 Baseten Instruct is 9.9 points above that provider line, so it is a stronger result than the average Baseten model.
Among multimodal models, the average is 82.2. Llama 3 Baseten Instruct is 3.6 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 78.6 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 $3.91 per million input tokens, Llama 3 Baseten Instruct 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 Modal | Modal | 32768 | $3.82 | 74.9 |
| GLM-4.5 Base | Zhipu AI | 32768 | $3.99 | 74.9 |
| Mixtral Groq | Groq | 16384 | $3.37 | 73.1 |
| Sonar Turbo | Perplexity | 65536 | $10.71 | 75.7 |
| Llama 3 Baseten Instruct | Baseten | 200000 | $3.91 | 76.2 |
| Llama 3 Lambda Instruct | Lambda | 32768 | $3.92 | 75.8 |
| Mistral Small 3 | Mistral AI | 32768 | $3.90 | 75.3 |
Other benchmarks for Llama 3 Baseten Instruct
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 80.0 | 182 | 70th | |
| GPQA Diamond | 73.9 | 171 | 72th | |
| SWE-bench Verified | 62.8 | 257 | 57th | |
| MATH-500 | 77.4 | 269 | 55th | |
| AIME 2025 | 74.7 | 159 | 74th | |
| LiveCodeBench | 70.1 | 189 | 69th | |
| IFEval | 83.1 | 241 | 60th | |
| TruthfulQA | 79.3 | 205 | 66th | |
| HellaSwag | 86.8 | 184 | 69th | |
| MMMU | 72.0 | 244 | 59th | |
| Arena Elo | 1397.8 | 214 | 64th |
FAQ
What score does Llama 3 Baseten Instruct get on HumanEval?
Llama 3 Baseten Instruct scores 78.6 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.
How does Llama 3 Baseten Instruct rank on HumanEval?
It ranks #273 of 600 models, in the 55th percentile. The leader is GPT-5.2 Pro at 96.8.
Is Llama 3 Baseten Instruct 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 Baseten Instruct cost?
Llama 3 Baseten Instruct costs $3.91 per million input tokens and $20.18 per million output tokens.