Reasoning · Hugging Face

Zephyr 7B on GPQA Diamond: score, rank and what it means

Zephyr 7B scores 37.4 on GPQA Diamond, placing it #593 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
37.4
0–100 scale
Rank
#593
of 600
Percentile
1th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
49.6
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Zephyr 7B highlighted. Longer bars mean higher scores.

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg 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 7B sits at #593 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 49.6 points. The median model in this index scores 68.8, which puts Zephyr 7B below the midpoint.

Hugging Face models average 49.3 on this benchmark. Zephyr 7B is 11.9 points below that provider line, so it is a weaker result than the average Hugging Face model.

Among small open-weight models, the average is 49.3. Zephyr 7B is 11.9 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 37.4 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 $0.23 per million input tokens, Zephyr 7B 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.

ModelProviderContextInput / 1MAvg score
SmolLM3 8B Hugging Face 32768 $0.21 44.0
Nemotron Nano 1.5B NVIDIA 8192 $0.10 41.5
Phi-3.5 1.5B Microsoft 32768 $0.25 44.5
Pythia 8B EleutherAI 32768 $0.16 41.4
Zephyr 7B Hugging Face 32768 $0.23 42.5
GPT-NeoX 7B EleutherAI 8192 $0.20 42.4
Zephyr 1.5B Hugging Face 32768 $0.10 38.0

Other benchmarks for Zephyr 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 52.8 582 3th
SWE-bench Verified 25.2 595 1th
HumanEval 42.6 595 1th
MATH-500 43.1 586 2th
AIME 2025 25.6 593 1th
LiveCodeBench 27.6 589 2th
IFEval 56.5 586 2th
TruthfulQA 51.5 587 2th
HellaSwag 64.4 587 2th
MMMU 41.2 592 1th
Arena Elo 1129.9 594 1th

FAQ

What score does Zephyr 7B get on GPQA Diamond?

Zephyr 7B scores 37.4 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Zephyr 7B rank on GPQA Diamond?

It ranks #593 of 600 models, in the 1st percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Zephyr 7B 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 7B cost?

Zephyr 7B costs $0.23 per million input tokens and $0.93 per million output tokens.

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