Coding · Hugging Face

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

Zephyr Chat scores 51.2 on LiveCodeBench, placing it #438 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
51.2
0–100 scale
Rank
#438
of 600
Percentile
27th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
33.9
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Zephyr Chat 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 Chat sits at #438 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 33.9 points. The median model in this index scores 64.7, which puts Zephyr Chat below the midpoint.

Hugging Face models average 40.9 on this benchmark. Zephyr Chat is 10.4 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 Chat is 7.9 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 51.2 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 $1.49 per million input tokens, Zephyr Chat 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
Firefunction Mini Fireworks AI 32768 $4.63 63.2
Llama 4 Scout 7B Meta AI 32768 $1.30 60.0
Magistral 7B Mistral AI 32768 $1.22 58.9
Llama 4 Maverick 8B Meta AI 4096 $1.64 63.4
Zephyr Chat Hugging Face 4096 $1.49 61.3
Hunyuan-Turbo Nano Tencent 32768 $4.65 62.7
Firesearch Mini Fireworks AI 32768 $3.94 61.5

Other benchmarks for Zephyr Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 68.4 413 31th
GPQA Diamond 56.7 445 26th
SWE-bench Verified 49.1 429 29th
HumanEval 65.5 436 27th
MATH-500 61.3 451 25th
AIME 2025 51.8 444 26th
IFEval 71.8 432 28th
TruthfulQA 64.6 464 23th
HellaSwag 76.5 421 30th
MMMU 56.9 472 21th
Arena Elo 1281.0 443 26th

FAQ

What score does Zephyr Chat get on LiveCodeBench?

Zephyr Chat scores 51.2 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Zephyr Chat rank on LiveCodeBench?

It ranks #438 of 600 models, in the 27th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Zephyr Chat 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 Chat cost?

Zephyr Chat costs $1.49 per million input tokens and $8.02 per million output tokens.

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