Coding · Hugging Face

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

Zephyr scores 50.3 on SWE-bench Verified, placing it #419 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
50.3
0–100 scale
Rank
#419
of 600
Percentile
30th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
31.4
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Zephyr 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 sits at #419 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 31.4 points. The median model in this index scores 61.0, which puts Zephyr below the midpoint.

Hugging Face models average 37.7 on this benchmark. Zephyr is 12.6 points above that provider line, so it is a stronger result than the average Hugging Face model.

Among open-weight models, the average is 55.5. Zephyr 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 50.3 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 $1.61 per million input tokens, Zephyr 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
Embed 4 Turbo Cohere 4096 $5.13 64.0
Reka Flash Mini Reka AI 16384 $5.77 65.5
SmolLM3 Instruct Hugging Face 8192 $1.69 63.6
GPT-NeoX Instruct EleutherAI 16384 $1.52 62.6
Zephyr Hugging Face 8192 $1.61 62.8
Molmo Base Allen Institute for AI 4096 $2.02 65.0
Reka Core Nano Reka AI 16384 $5.45 65.1

Other benchmarks for Zephyr

BenchmarkScoreRankPercentileRelative
MMLU-Pro 68.8 408 32th
GPQA Diamond 60.5 400 33th
HumanEval 65.9 432 28th
MATH-500 65.3 418 30th
AIME 2025 55.1 415 31th
LiveCodeBench 48.7 460 23th
IFEval 70.4 455 24th
TruthfulQA 67.8 417 31th
HellaSwag 76.3 423 30th
MMMU 62.2 408 32th
Arena Elo 1303.0 414 31th

FAQ

What score does Zephyr get on SWE-bench Verified?

Zephyr scores 50.3 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Zephyr rank on SWE-bench Verified?

It ranks #419 of 600 models, in the 30th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Zephyr 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 cost?

Zephyr costs $1.61 per million input tokens and $6.84 per million output tokens.

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