Reasoning · Hugging Face

SmolLM3 Base on GPQA Diamond: score, rank and what it means

SmolLM3 Base scores 55.0 on GPQA Diamond, placing it #464 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
55.0
0–100 scale
Rank
#464
of 600
Percentile
23th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
32.0
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with SmolLM3 Base highlighted. Longer bars mean higher scores.

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, SmolLM3 Base sits at #464 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 32.0 points. The median model in this index scores 68.8, which puts SmolLM3 Base below the midpoint.

Hugging Face models average 49.3 on this benchmark. SmolLM3 Base is 5.7 points above that provider line, so it is a stronger result than the average Hugging Face model.

Among open-weight models, the average is 63.6. SmolLM3 Base is 8.6 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 55.0 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 $1.38 per million input tokens, SmolLM3 Base is below the median input price of $4.00 across the 600 models scored on GPQA Diamond. 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
Yi-Lightning 8B 01.AI 4096 $1.16 59.2
Command R+ 8B Cohere 8192 $1.21 57.7
Llama 3.3 Groq 7B Groq 16384 $1.01 56.7
SmolLM3 Base Hugging Face 16384 $1.38 60.4
Llama 3 Baseten 8B Baseten 4096 $1.02 57.0
Hunyuan-Large 8B Tencent 4096 $1.29 58.7

Other benchmarks for SmolLM3 Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.7 480 20th
SWE-bench Verified 45.5 461 23th
HumanEval 63.2 457 24th
MATH-500 60.1 463 23th
AIME 2025 54.8 416 31th
LiveCodeBench 52.5 420 30th
IFEval 71.3 437 27th
TruthfulQA 65.7 450 25th
HellaSwag 73.6 464 23th
MMMU 59.4 435 28th
Arena Elo 1280.0 446 26th

FAQ

What score does SmolLM3 Base get on GPQA Diamond?

SmolLM3 Base scores 55.0 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does SmolLM3 Base rank on GPQA Diamond?

It ranks #464 of 600 models, in the 23rd percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is SmolLM3 Base good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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 Base cost?

SmolLM3 Base costs $1.38 per million input tokens and $7.55 per million output tokens.

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