SmolLM3 Instruct on GPQA Diamond: score, rank and what it means
SmolLM3 Instruct scores 58.4 on GPQA Diamond, placing it #423 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.
Score distribution
The chart shows the top 10 models on GPQA Diamond, with SmolLM3 Instruct highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg 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 Instruct sits at #423 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 28.6 points. The median model in this index scores 68.8, which puts SmolLM3 Instruct below the midpoint.
Hugging Face models average 49.3 on this benchmark. SmolLM3 Instruct is 9.1 points above that provider line, so it is a stronger result than the average Hugging Face model.
Among open-weight models, the average is 63.6. SmolLM3 Instruct is 5.2 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 58.4 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 $1.69 per million input tokens, SmolLM3 Instruct 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.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| DeepSeek-V3.2 8B | DeepSeek | 32768 | $2.02 | 66.2 |
| GPT-NeoX Instruct | EleutherAI | 16384 | $1.52 | 62.6 |
| StableLM 2 Base | Stability AI | 8192 | $1.49 | 61.9 |
| Embed 4 Turbo | Cohere | 4096 | $5.13 | 64.0 |
| SmolLM3 Instruct | Hugging Face | 8192 | $1.69 | 63.6 |
| Pythia Instruct | EleutherAI | 8192 | $1.41 | 60.8 |
| Hunyuan-Turbo Nano | Tencent | 32768 | $4.65 | 62.7 |
Other benchmarks for SmolLM3 Instruct
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 67.3 | 428 | 29th | |
| SWE-bench Verified | 50.6 | 417 | 31th | |
| HumanEval | 69.2 | 408 | 32th | |
| MATH-500 | 67.0 | 409 | 32th | |
| AIME 2025 | 54.4 | 419 | 30th | |
| LiveCodeBench | 56.1 | 397 | 34th | |
| IFEval | 74.0 | 406 | 32th | |
| TruthfulQA | 66.5 | 438 | 27th | |
| HellaSwag | 75.1 | 440 | 27th | |
| MMMU | 60.5 | 425 | 29th | |
| Arena Elo | 1297.8 | 423 | 30th |
FAQ
What score does SmolLM3 Instruct get on GPQA Diamond?
SmolLM3 Instruct scores 58.4 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.
How does SmolLM3 Instruct rank on GPQA Diamond?
It ranks #423 of 600 models, in the 30th percentile. The leader is GPT-5.2 Reasoning at 87.0.
Is SmolLM3 Instruct 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 Instruct cost?
SmolLM3 Instruct costs $1.69 per million input tokens and $8.67 per million output tokens.