Mathematics · Hugging Face

Zephyr Instruct on AIME 2025: score, rank and what it means

Zephyr Instruct scores 56.9 on AIME 2025, placing it #405 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
56.9
0–100 scale
Rank
#405
of 600
Percentile
33th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
34.5
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Zephyr Instruct highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, Zephyr Instruct sits at #405 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 34.5 points. The median model in this index scores 67.6, which puts Zephyr Instruct below the midpoint.

Hugging Face models average 41.0 on this benchmark. Zephyr Instruct is 15.9 points above that provider line, so it is a stronger result than the average Hugging Face model.

Among open-weight models, the average is 61.8. Zephyr Instruct is 4.9 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 56.9 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 AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
ERNIE 4.5 Nano Baidu 32768 $6.01 65.6
Nova Pro Nano Amazon 8192 $5.44 65.4
Command A Nano Cohere 8192 $5.90 66.3
Reka Core Nano Reka AI 16384 $5.45 65.1
Zephyr Instruct Hugging Face 4096 $1.66 62.4
Fusion Mini OpenRouter 4096 $4.89 63.3
Llama 4 Maverick 7B Meta AI 4096 $1.52 61.9

Other benchmarks for Zephyr Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 65.8 440 27th
GPQA Diamond 59.3 412 31th
SWE-bench Verified 51.3 412 31th
HumanEval 65.1 441 27th
MATH-500 62.9 437 27th
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 AIME 2025?

Zephyr Instruct scores 56.9 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Zephyr Instruct rank on AIME 2025?

It ranks #405 of 600 models, in the 33rd percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Zephyr Instruct good at AIME 2025?

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 AIME 2025 score calculated?

AIME 2025 is a mathematics 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.

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