SmolLM3 Instruct on TruthfulQA: score, rank and what it means
SmolLM3 Instruct scores 66.5 on TruthfulQA, placing it #438 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.
Score distribution
The chart shows the top 10 models on TruthfulQA, with SmolLM3 Instruct highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 2 | Gemini 3 Pro Reasoning | Google DeepMind | 200000 | $19.69 | 87.5 |
| 3 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 4 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 5 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 6 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
| 7 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 8 | Qwen3-Max Max | Alibaba Cloud | 400000 | $18.53 | 85.9 |
| 9 | GPT-5.1 | OpenAI | 2000000 | $19.01 | 86.0 |
| 10 | GPT-5.1 Turbo | OpenAI | 2000000 | $19.19 | 86.1 |
What this score means
On TruthfulQA, SmolLM3 Instruct sits at #438 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 24.6 points. The median model in this index scores 76.3, which puts SmolLM3 Instruct below the midpoint.
Hugging Face models average 59.1 on this benchmark. SmolLM3 Instruct is 7.4 points above that provider line, so it is a stronger result than the average Hugging Face model.
Among open-weight models, the average is 72.3. SmolLM3 Instruct is 5.8 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 66.5 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 TruthfulQA. 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 |
|---|---|---|---|---|
| MiniMax-Text 8B | MiniMax | 4096 | $1.22 | 59.5 |
| Pythia Instruct | EleutherAI | 8192 | $1.41 | 60.8 |
| Firesearch Mini | Fireworks AI | 32768 | $3.94 | 61.5 |
| Nova Lite Nano | Amazon | 8192 | $3.29 | 59.5 |
| SmolLM3 Instruct | Hugging Face | 8192 | $1.69 | 63.6 |
| SmolLM3 Chat | Hugging Face | 16384 | $1.61 | 62.1 |
| Zephyr Instruct | Hugging Face | 4096 | $1.66 | 62.4 |
Other benchmarks for SmolLM3 Instruct
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 67.3 | 428 | 29th | |
| GPQA Diamond | 58.4 | 423 | 30th | |
| 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 | |
| HellaSwag | 75.1 | 440 | 27th | |
| MMMU | 60.5 | 425 | 29th | |
| Arena Elo | 1297.8 | 423 | 30th |
FAQ
What score does SmolLM3 Instruct get on TruthfulQA?
SmolLM3 Instruct scores 66.5 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.
How does SmolLM3 Instruct rank on TruthfulQA?
It ranks #438 of 600 models, in the 27th percentile. The leader is GPT-5.1 Max at 91.1.
Is SmolLM3 Instruct good at TruthfulQA?
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 TruthfulQA score calculated?
TruthfulQA is a safety 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.