Instruction following · Hugging Face

Zephyr Instruct on IFEval: score, rank and what it means

Zephyr Instruct scores 71.8 on IFEval, placing it #433 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
71.8
0–100 scale
Rank
#433
of 600
Percentile
28th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
24.3
points

Score distribution

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

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, Zephyr Instruct sits at #433 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 24.3 points. The median model in this index scores 81.2, which puts Zephyr Instruct below the midpoint.

Hugging Face models average 64.6 on this benchmark. Zephyr Instruct is 7.2 points above that provider line, so it is a stronger result than the average Hugging Face model.

Among open-weight models, the average is 77.0. Zephyr Instruct is 5.2 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 71.8 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 IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
MiniMax-M2 7B MiniMax 8192 $1.44 60.8
Llama 4 Scout 8B Meta AI 8192 $1.46 61.2
MiniMax-M2 8B MiniMax 32768 $1.65 61.7
Zephyr Chat Hugging Face 4096 $1.49 61.3
Zephyr Instruct Hugging Face 4096 $1.66 62.4
DeepSeek-R1 7B DeepSeek 32768 $1.79 63.0
GLM-4.6 8B Zhipu AI 8192 $1.69 63.1

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
AIME 2025 56.9 405 33th
LiveCodeBench 50.0 449 25th
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 IFEval?

Zephyr Instruct scores 71.8 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Zephyr Instruct rank on IFEval?

It ranks #433 of 600 models, in the 28th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Zephyr Instruct good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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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