Coding · Hugging Face

Zephyr 7B on SWE-bench Verified: score, rank and what it means

Zephyr 7B scores 25.2 on SWE-bench Verified, placing it #595 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
25.2
0–100 scale
Rank
#595
of 600
Percentile
1th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
56.5
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Zephyr 7B highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 81.7
Claude Opus 4.5 Pro 81.1
GPT-5.2 Max 80.5
Claude Sonnet 4.5 Max 80.2
GPT-5.2 80.2
GPT-5.1 Pro 80.1
o4 Max 79.8
Claude Sonnet 4.5 Reasoning 79.6
Claude Opus 4.5 Max 79.5
Claude Opus 4.5 Reasoning 79.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
3 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
4 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 o4 Max OpenAI 2000000 $19.51 86.2
8 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
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 SWE-bench Verified, Zephyr 7B sits at #595 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 56.5 points. The median model in this index scores 61.0, which puts Zephyr 7B below the midpoint.

Hugging Face models average 37.7 on this benchmark. Zephyr 7B is 12.5 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 39.0. Zephyr 7B is 13.8 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 25.2 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 $0.23 per million input tokens, Zephyr 7B is below the median input price of $4.00 across the 600 models scored on SWE-bench Verified. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Arctic 1.5B Snowflake 32768 $0.15 43.2
OLMo 2 1.5B Allen Institute for AI 16384 $0.28 44.0
Nemotron Nano 1.5B NVIDIA 8192 $0.10 41.5
Zephyr 8B Hugging Face 8192 $0.22 43.0
Zephyr 7B Hugging Face 32768 $0.23 42.5
Pythia 1.5B EleutherAI 4096 $0.10 35.8
StableLM 2 1.5B Stability AI 16384 $0.13 38.3

Other benchmarks for Zephyr 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 52.8 582 3th
GPQA Diamond 37.4 593 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 SWE-bench Verified?

Zephyr 7B scores 25.2 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Zephyr 7B rank on SWE-bench Verified?

It ranks #595 of 600 models, in the 1st percentile. The leader is GPT-5.2 Pro at 81.7.

Is Zephyr 7B good at SWE-bench Verified?

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 SWE-bench Verified score calculated?

SWE-bench Verified is a coding 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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