Commonsense · Hugging Face

SmolLM3 Chat on HellaSwag: score, rank and what it means

SmolLM3 Chat scores 76.1 on HellaSwag, placing it #427 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
76.1
0–100 scale
Rank
#427
of 600
Percentile
29th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
20.0
points

Score distribution

The chart shows the top 10 models on HellaSwag, with SmolLM3 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, SmolLM3 Chat sits at #427 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 20.0 points. The median model in this index scores 83.6, which puts SmolLM3 Chat below the midpoint.

Hugging Face models average 70.2 on this benchmark. SmolLM3 Chat is 5.9 points above that provider line, so it is a stronger result than the average Hugging Face model.

Among open-weight models, the average is 80.2. SmolLM3 Chat is 4.1 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 76.1 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, SmolLM3 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
Zephyr Hugging Face 8192 $1.61 62.8
Kimi K1.5 8B Moonshot AI 8192 $1.54 62.2
MiniMax-M2 8B MiniMax 32768 $1.65 61.7
Hunyuan-Turbo Nano Tencent 32768 $4.65 62.7
SmolLM3 Chat Hugging Face 16384 $1.61 62.1
DeepSeek-V3.2 7B DeepSeek 4096 $1.75 63.2
Firefunction Mini Fireworks AI 32768 $4.63 63.2

Other benchmarks for SmolLM3 Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 68.7 409 32th
GPQA Diamond 57.5 433 28th
SWE-bench Verified 47.4 442 26th
HumanEval 63.6 454 24th
MATH-500 62.0 446 26th
AIME 2025 53.0 435 28th
LiveCodeBench 55.0 408 32th
IFEval 72.6 424 29th
TruthfulQA 66.4 439 27th
MMMU 60.3 426 29th
Arena Elo 1293.9 428 29th

FAQ

What score does SmolLM3 Chat get on HellaSwag?

SmolLM3 Chat scores 76.1 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does SmolLM3 Chat rank on HellaSwag?

It ranks #427 of 600 models, in the 29th percentile. The leader is GPT-5.2 Max at 96.1.

Is SmolLM3 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 SmolLM3 Chat cost?

SmolLM3 Chat costs $1.61 per million input tokens and $7.69 per million output tokens.

Related