Coding · Hugging Face

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

Zephyr Instruct scores 50.0 on LiveCodeBench, placing it #449 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
50.0
0–100 scale
Rank
#449
of 600
Percentile
25th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
35.1
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Zephyr Instruct 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 Instruct sits at #449 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 35.1 points. The median model in this index scores 64.7, which puts Zephyr Instruct below the midpoint.

Hugging Face models average 40.9 on this benchmark. Zephyr Instruct is 9.1 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 Instruct is 9.1 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 50.0 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 LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Qwen3 7B Alibaba Cloud 32768 $1.37 59.8
DeepSeek-V3.2 7B DeepSeek 4096 $1.75 63.2
MiniMax-M2 7B MiniMax 8192 $1.44 60.8
MiniMax-M2 8B MiniMax 32768 $1.65 61.7
Zephyr Instruct Hugging Face 4096 $1.66 62.4
Nova Lite Nano Amazon 8192 $3.29 59.5
SmolLM3 Hugging Face 8192 $1.71 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
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 LiveCodeBench?

Zephyr Instruct scores 50.0 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Zephyr Instruct rank on LiveCodeBench?

It ranks #449 of 600 models, in the 25th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Zephyr Instruct 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 Instruct cost?

Zephyr Instruct costs $1.66 per million input tokens and $6.50 per million output tokens.

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