Zephyr Instruct on GPQA Diamond: score, rank and what it means
Zephyr Instruct scores 59.3 on GPQA Diamond, placing it #412 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.
Score distribution
The chart shows the top 10 models on GPQA Diamond, with Zephyr Instruct highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 2 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 3 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 4 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 5 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 6 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 7 | o4 Turbo | OpenAI | 2000000 | $19.34 | 86.6 |
| 8 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 9 | Grok 4 Turbo | xAI | 1000000 | $19.21 | 86.7 |
| 10 | Claude Sonnet 4.5 Max | Anthropic | 1000000 | $19.90 | 87.2 |
What this score means
On GPQA Diamond, Zephyr Instruct sits at #412 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 27.7 points. The median model in this index scores 68.8, which puts Zephyr Instruct below the midpoint.
Hugging Face models average 49.3 on this benchmark. Zephyr Instruct is 10.0 points above that provider line, so it is a stronger result than the average Hugging Face model.
Among open-weight models, the average is 63.6. Zephyr Instruct is 4.3 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 59.3 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 GPQA Diamond. 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 |
|---|---|---|---|---|
| Nemotron Nano Chat | NVIDIA | 32768 | $2.21 | 66.2 |
| Fusion Mini | OpenRouter | 4096 | $4.89 | 63.3 |
| GLM-4.6 8B | Zhipu AI | 8192 | $1.69 | 63.1 |
| Kimi K2 8B | Moonshot AI | 8192 | $1.86 | 64.7 |
| Zephyr Instruct | Hugging Face | 4096 | $1.66 | 62.4 |
| Kimi K1.5 8B | Moonshot AI | 8192 | $1.54 | 62.2 |
| Llama 4 Maverick 7B | Meta AI | 4096 | $1.52 | 61.9 |
Other benchmarks for Zephyr Instruct
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 65.8 | 440 | 27th | |
| SWE-bench Verified | 51.3 | 412 | 31th | |
| HumanEval | 65.1 | 441 | 27th | |
| 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 GPQA Diamond?
Zephyr Instruct scores 59.3 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.
How does Zephyr Instruct rank on GPQA Diamond?
It ranks #412 of 600 models, in the 31st percentile. The leader is GPT-5.2 Reasoning at 87.0.
Is Zephyr Instruct good at GPQA Diamond?
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 GPQA Diamond score calculated?
GPQA Diamond is a reasoning 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.