Coding · Hugging Face

Zephyr on LiveCodeBench: score, rank and what it means

Zephyr scores 48.7 on LiveCodeBench, placing it #460 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
48.7
0–100 scale
Rank
#460
of 600
Percentile
23th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
36.4
points

Score distribution

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

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, Zephyr sits at #460 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 36.4 points. The median model in this index scores 64.7, which puts Zephyr below the midpoint.

Hugging Face models average 40.9 on this benchmark. Zephyr 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 59.1. Zephyr is 10.4 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 48.7 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 LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
QwQ 8B Alibaba Cloud 16384 $1.37 59.5
GPT-NeoX Chat EleutherAI 16384 $1.49 60.1
Llama 3.1 8B Meta AI 8192 $1.15 58.7
MiniMax-Text 8B MiniMax 4096 $1.22 59.5
Zephyr Hugging Face 8192 $1.61 62.8
Llama 4 Maverick 7B Meta AI 4096 $1.52 61.9
DeepSeek-Coder 7B DeepSeek 32768 $1.14 57.3

Other benchmarks for Zephyr

BenchmarkScoreRankPercentileRelative
MMLU-Pro 68.8 408 32th
GPQA Diamond 60.5 400 33th
SWE-bench Verified 50.3 419 30th
HumanEval 65.9 432 28th
MATH-500 65.3 418 30th
AIME 2025 55.1 415 31th
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 LiveCodeBench?

Zephyr scores 48.7 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Zephyr rank on LiveCodeBench?

It ranks #460 of 600 models, in the 23rd percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Zephyr good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench 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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