Reasoning · Hugging Face

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

Zephyr Base scores 57.2 on GPQA Diamond, placing it #438 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
57.2
0–100 scale
Rank
#438
of 600
Percentile
27th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
29.8
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Zephyr Base 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 Base sits at #438 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 29.8 points. The median model in this index scores 68.8, which puts Zephyr Base below the midpoint.

Hugging Face models average 49.3 on this benchmark. Zephyr Base is 7.9 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 Base is 6.4 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 57.2 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 $1.26 per million input tokens, Zephyr Base 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
Sonar Nano Perplexity 4096 $4.37 61.9
Llama 3.3 Groq 8B Groq 16384 $1.17 59.5
Llama 4 Maverick 8B Meta AI 4096 $1.64 63.4
Qwen3 8B Alibaba Cloud 8192 $1.66 61.9
Zephyr Base Hugging Face 4096 $1.26 59.5
ERNIE 4.0 Nano Baidu 32768 $4.68 62.1
Kimi K2 7B Moonshot AI 16384 $1.72 62.7

Other benchmarks for Zephyr Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 65.4 447 26th
SWE-bench Verified 42.4 498 17th
HumanEval 64.8 443 26th
MATH-500 62.6 440 27th
AIME 2025 51.0 452 25th
LiveCodeBench 47.9 468 22th
IFEval 70.3 456 24th
TruthfulQA 65.1 458 24th
HellaSwag 73.1 480 20th
MMMU 54.2 506 16th
Arena Elo 1270.3 458 24th

FAQ

What score does Zephyr Base get on GPQA Diamond?

Zephyr Base scores 57.2 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Zephyr Base rank on GPQA Diamond?

It ranks #438 of 600 models, in the 27th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Zephyr Base 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 Base cost?

Zephyr Base costs $1.26 per million input tokens and $6.45 per million output tokens.

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