Knowledge
SimpleQA Leaderboard
SimpleQA measures factual accuracy on short, fact-seeking questions with a single correct answer — directly probing how often a model is right versus confidently wrong (hallucination) on simple facts.
Source: epoch17 open models ranked+74 proprietaryData through Oct 2026
Open models ranked on SimpleQA
# shows rank among open models / rank overall (including proprietary).
| # | Model | Score | VRAM @ Q4 |
|---|---|---|---|
| 1 / 19 | Muse Spark Open 816B A42B · 822.0B | 56.6% | ~543 GB |
| 2 / 23 | DeepSeek V4 Pro 0813 · 1650.5B | 52.9% | ~991 GB |
| 3 / 26 | Kimi K3 · 2779.9B | 50.6% | ~1674 GB |
| 4 / 36 | DeepSeek V4 Pro · 1598.8B | 47.0% | ~960 GB |
| 5 / 44 | DeepSeek V4.1 Flash · 763.2B | 42.9% | ~458 GB |
| 6 / 47 | GLM 5.3 · 753.3B | 41.0% | ~456 GB |
| 7 / 49 | Qwen3 235B A22B Thinking 2507 · 235.1B | 40.4% | ~142 GB |
| 8 / 50 | Inkling · 952.4B | 40.3% | ~572 GB |
| 9 / 52 | Kimi K2.7 Code · 1026.9B | 36.5% | ~620 GB |
| 10 / 54 | Kimi K2.6 · 1026.9B | 34.9% | ~620 GB |
| 11 / 56 | Kimi K2.5 · 1026.9B | 34.3% | ~620 GB |
| 12 / 57 | GLM 5.2 · 753.3B | 34.2% | ~456 GB |
| 13 / 58 | GLM 5.1 · 753.9B | 34.0% | ~457 GB |
| 14 / 60 | DeepSeek V4 Flash 0731 · 304.2B | 33.6% | ~183 GB |
| 15 / 66 | GLM 4.7 · 358.3B | 32.2% | ~216 GB |
| 16 / 79 | Inkling Small · 266.0B | 19.1% | ~160 GB |
| 17 / 89 | Gemma 4 31B IT · 31.3B | 10.4% | ~20 GB |
Score vs model size
Which models give the most quality for their size — the ones worth running locally.
- Gemma 4 31B IT, 31B, score 10.4% — on the efficiency frontier (best score at its size or smaller).
- Qwen3 235B A22B Thinking 2507, 235B, score 40.4% — on the efficiency frontier (best score at its size or smaller).
- GLM 5.3, 753B, score 41.0% — on the efficiency frontier (best score at its size or smaller).
- DeepSeek V4.1 Flash, 763B, score 42.9% — on the efficiency frontier (best score at its size or smaller).
- Muse Spark Open 816B A42B, 822B, score 56.6% — on the efficiency frontier (best score at its size or smaller).
SimpleQA: frequently asked questions
- What is the best open LLM on SimpleQA?
- Muse Spark Open 816B A42B is the top open model on SimpleQA, scoring 56.6%. Among all models tested — including proprietary ones — it ranks #19. The top model overall is Gemini 4 Argon (high) (Google DeepMind) at 76.0%.
- What's the best SimpleQA model you can run on a 24 GB GPU?
- Gemma 4 31B IT is the highest-scoring open model that fits in 24 GB at 4-bit quantization (~20 GB), scoring 10.4% on SimpleQA.
- Can open models match proprietary models on SimpleQA?
- Not quite on SimpleQA: the strongest proprietary model (Gemini 4 Argon (high)) scores 76.0%, ahead of the best open model (Muse Spark Open 816B A42B) at 56.6% — but you can run the open one yourself.
Scores aggregated from epoch. llmrun does not run this benchmark — see the source for methodology, or the about benchmarks for what it measures.