Instruction following · Hugging Face

SmolLM3 Base on IFEval: score, rank and what it means

SmolLM3 Base scores 71.3 on IFEval, placing it #437 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
71.3
0–100 scale
Rank
#437
of 600
Percentile
27th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
24.8
points

Score distribution

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

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, SmolLM3 Base sits at #437 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 24.8 points. The median model in this index scores 81.2, which puts SmolLM3 Base below the midpoint.

Hugging Face models average 64.6 on this benchmark. SmolLM3 Base is 6.7 points above that provider line, so it is a stronger result than the average Hugging Face model.

Among open-weight models, the average is 77.0. SmolLM3 Base is 5.7 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 71.3 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 IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Zephyr Instruct Hugging Face 4096 $1.66 62.4
DeepSeek-R1 7B DeepSeek 32768 $1.79 63.0
GLM-4.6 8B Zhipu AI 8192 $1.69 63.1
QwQ 8B Alibaba Cloud 16384 $1.37 59.5
SmolLM3 Base Hugging Face 16384 $1.38 60.4
ERNIE 4.0 Nano Baidu 32768 $4.68 62.1
GPT-NeoX Instruct EleutherAI 16384 $1.52 62.6

Other benchmarks for SmolLM3 Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.7 480 20th
GPQA Diamond 55.0 464 23th
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
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 IFEval?

SmolLM3 Base scores 71.3 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does SmolLM3 Base rank on IFEval?

It ranks #437 of 600 models, in the 27th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is SmolLM3 Base good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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.

Related