SmolLM3 on IFEval: score, rank and what it means
SmolLM3 scores 72.7 on IFEval, placing it #421 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 distribution
The chart shows the top 10 models on IFEval, with SmolLM3 highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg 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 sits at #421 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 23.4 points. The median model in this index scores 81.2, which puts SmolLM3 below the midpoint.
Hugging Face models average 64.6 on this benchmark. SmolLM3 is 8.1 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 is 4.3 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 72.7 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 $1.71 per million input tokens, SmolLM3 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.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Hunyuan-Turbo Nano | Tencent | 32768 | $4.65 | 62.7 |
| StableLM 2 Instruct | Stability AI | 16384 | $1.93 | 65.2 |
| Embed 4 Pro | Cohere | 4096 | $5.05 | 63.5 |
| Firesearch Mini | Fireworks AI | 32768 | $3.94 | 61.5 |
| SmolLM3 | Hugging Face | 8192 | $1.71 | 63.1 |
| Kimi K1.5 8B | Moonshot AI | 8192 | $1.54 | 62.2 |
| Llama 4 Maverick 8B | Meta AI | 4096 | $1.64 | 63.4 |
Other benchmarks for SmolLM3
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 69.2 | 405 | 33th | |
| GPQA Diamond | 61.0 | 398 | 34th | |
| SWE-bench Verified | 47.3 | 444 | 26th | |
| HumanEval | 69.5 | 403 | 33th | |
| MATH-500 | 68.1 | 400 | 33th | |
| AIME 2025 | 52.9 | 436 | 27th | |
| LiveCodeBench | 49.8 | 451 | 25th | |
| TruthfulQA | 67.9 | 415 | 31th | |
| HellaSwag | 77.7 | 405 | 33th | |
| MMMU | 58.3 | 454 | 24th | |
| Arena Elo | 1294.1 | 427 | 29th |
FAQ
What score does SmolLM3 get on IFEval?
SmolLM3 scores 72.7 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.
How does SmolLM3 rank on IFEval?
It ranks #421 of 600 models, in the 30th percentile. The leader is Claude Opus 4.5 Pro at 96.1.
Is SmolLM3 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 cost?
SmolLM3 costs $1.71 per million input tokens and $8.86 per million output tokens.