Zephyr Instruct on HumanEval: score, rank and what it means
Zephyr Instruct scores 65.1 on HumanEval, placing it #441 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 Zephyr 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, Zephyr Instruct sits at #441 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 31.7 points. The median model in this index scores 77.4, which puts Zephyr Instruct below the midpoint.
Hugging Face models average 56.7 on this benchmark. Zephyr Instruct is 8.4 points above that provider line, so it is a stronger result than the average Hugging Face model.
Among open-weight models, the average is 72.4. Zephyr Instruct is 7.3 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 65.1 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 $1.66 per million input tokens, Zephyr 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 |
|---|---|---|---|---|
| DeepSeek-R1 7B | DeepSeek | 32768 | $1.79 | 63.0 |
| GLM-4.5 7B | Zhipu AI | 8192 | $1.32 | 60.2 |
| Qwen3 7B | Alibaba Cloud | 32768 | $1.37 | 59.8 |
| Llama 4 Maverick 7B | Meta AI | 4096 | $1.52 | 61.9 |
| Zephyr Instruct | Hugging Face | 4096 | $1.66 | 62.4 |
| GPT-NeoX | EleutherAI | 16384 | $1.57 | 61.7 |
| Zephyr Base | Hugging Face | 4096 | $1.26 | 59.5 |
Other benchmarks for Zephyr Instruct
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 65.8 | 440 | 27th | |
| GPQA Diamond | 59.3 | 412 | 31th | |
| SWE-bench Verified | 51.3 | 412 | 31th | |
| MATH-500 | 62.9 | 437 | 27th | |
| AIME 2025 | 56.9 | 405 | 33th | |
| LiveCodeBench | 50.0 | 449 | 25th | |
| IFEval | 71.8 | 433 | 28th | |
| TruthfulQA | 66.4 | 440 | 27th | |
| HellaSwag | 75.7 | 431 | 28th | |
| MMMU | 60.9 | 422 | 30th | |
| Arena Elo | 1301.5 | 416 | 31th |
FAQ
What score does Zephyr Instruct get on HumanEval?
Zephyr Instruct scores 65.1 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.
How does Zephyr Instruct rank on HumanEval?
It ranks #441 of 600 models, in the 27th percentile. The leader is GPT-5.2 Pro at 96.8.
Is Zephyr Instruct 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 Zephyr Instruct cost?
Zephyr Instruct costs $1.66 per million input tokens and $6.50 per million output tokens.