Commonsense · Hugging Face

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

Zephyr Chat scores 76.5 on HellaSwag, placing it #421 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
76.5
0–100 scale
Rank
#421
of 600
Percentile
30th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
19.6
points

Score distribution

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

GPT-5.2 Max 96.1
GPT-5.2 Turbo 95.5
GPT-5.2 Pro 95.3
Claude Opus 4.5 Pro 95.2
Claude Sonnet 4.5 Reasoning 95.2
Grok 4 Reasoning 95.2
GPT-5.2 Vision 94.6
Gemini 3 Pro Turbo 94.6
GPT-5.1 Reasoning 94.4
o4 Pro 94.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
8 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
9 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
10 o4 Pro OpenAI 1000000 $19.37 87.3

What this score means

On HellaSwag, Zephyr Chat sits at #421 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 19.6 points. The median model in this index scores 83.6, which puts Zephyr Chat below the midpoint.

Hugging Face models average 70.2 on this benchmark. Zephyr Chat is 6.3 points above that provider line, so it is a stronger result than the average Hugging Face model.

Among open-weight models, the average is 80.2. Zephyr Chat is 3.7 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 76.5 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 HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Embed 4 Max Cohere 8192 $5.68 66.1
Llama 4 Maverick 8B Meta AI 4096 $1.64 63.4
Qwen3-Coder 8B Alibaba Cloud 32768 $1.43 61.3
Embed 4 Reasoning Cohere 4096 $5.50 65.3
Zephyr Chat Hugging Face 4096 $1.49 61.3
Mistral Large 3 8B Mistral AI 16384 $1.62 61.6
Zephyr Hugging Face 8192 $1.61 62.8

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
LiveCodeBench 51.2 438 27th
IFEval 71.8 432 28th
TruthfulQA 64.6 464 23th
MMMU 56.9 472 21th
Arena Elo 1281.0 443 26th

FAQ

What score does Zephyr Chat get on HellaSwag?

Zephyr Chat scores 76.5 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Zephyr Chat rank on HellaSwag?

It ranks #421 of 600 models, in the 30th percentile. The leader is GPT-5.2 Max at 96.1.

Is Zephyr Chat good at HellaSwag?

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 HellaSwag score calculated?

HellaSwag is a commonsense 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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