GSM8K
Benchmark metadata from benchwiki — this page mirrors their record so scores can be joined to it. The original is canonical.
What it measures
8.5K grade-school math word problems (2–8 arithmetic steps) — the default elementary-math benchmark and the classic chain-of-thought demonstration.
- Primary metric
- accuracy — exact match on the final numeric answer (%)
- Judge model
- not judged by a model
- Human baseline
- not reportedNo measured human baseline. The paper states only an informal difficulty target: 'a bright middle school student should be able to solve every problem.' Because the problems are grade-school and were verified solvable, the implicit human ceiling is near 100% for a capable solver — but no human solve-rate was measured, so the score is null. Treat this like MMLU's estimated-baseline situation, only softer: a target description, not a number.
- Languages
- English
Health
1,319 test problems → ±~1.2pt (95% CI) near 95%, so at the saturated frontier ordinary model gaps are within noise. But the dominant caveat here is NOT sampling error — it is robustness: GSM-Symbolic shows the same model's accuracy swings by tens of points under trivial rewordings, so a single GSM8K number overstates reasoning reliability far more than its CI suggests. Also non-comparable across protocols (direct vs CoT vs maj@k).
- Status evidence
- Frontier models cleared ~95% by 2023–24 and the reasoning-model era pushed scores to ~97–99%, collapsing headroom. But saturation here is the sharpest 'saturated ≠ solved' case on the wiki: GSM-Symbolic (Apple, 2024) showed that changing only names/numbers, and especially adding one irrelevant clause (GSM-NoOp), drops accuracy heavily across models — so the SCORE is saturated while the CAPABILITY (robust arithmetic reasoning) is not. saturated_date 2024-01 marks the point frontier scores stopped discriminating; the discriminating signal moved to harder math (MATH → AIME → FrontierMath) and to robustness variants.
- Saturated since
- 2024-01-01
- Refresh cycle
- static
- Test set public
- yes
None. Public since 2021, MIT-licensed, and mirrored across the web WITH worked natural-language solutions — ideal memorization fodder. Fully static, no refresh. Structurally the same exposure that undid MMLU, and a direct reason the GSM-Symbolic and GSM8K-Platinum variants exist: to test whether a score survives when the exact public items are perturbed or cleaned.
Models scored on this benchmark
The reverse lookup, which is this site’s addition: every model here with a score on this benchmark. Independent measurements and vendor-reported numbers are kept apart rather than interleaved, because they are different claims.
Independently measured
| Model | Score | Harness | Measured | Provenance | Health |
|---|---|---|---|---|---|
| DS-Coder-V2-InstructDeepSeek | 94.5% | not reported | 2024-06-17 | ind. | saturatedcontaminated |
| Qwen2.5-Coder-32B-InstructAlibaba | 93.0% | not reported | 2024-11-21 | ind. | saturatedcontaminated |
| GPT-4OpenAI | 92.0% | not reported | 2023-03-14 | ind. | saturatedcontaminated |
| GPT-4o-miniOpenAI | 91.3% | not reported | 2024-07-18 | ind. | saturatedcontaminated |
| Qwen2.5-Coder-32BAlibaba | 91.1% | not reported | 2024-09-18 | ind. | saturatedcontaminated |
| Phi-3.5-MoEMicrosoft | 88.7% | not reported | 2024-08-17 | ind. | saturatedcontaminated |
| Qwen2.5-Coder-7B-InstructAlibaba | 86.7% | not reported | 2024-09-17 | ind. | saturatedcontaminated |
| Phi-3.5-miniMicrosoft | 86.2% | not reported | 2024-08-16 | ind. | saturatedcontaminated |
| DS-Coder-V2-BaseDeepSeek | 85.8% | not reported | 2024-06-17 | ind. | saturatedcontaminated |
| Gemma-2 9BGoogle DeepMind | 84.9% | not reported | not reported | ind. | saturatedcontaminated |
| Mistral-Nemo 12BMistral AI | 84.2% | not reported | 2024-07-18 | ind. | saturatedcontaminated |
| Qwen2.5-Coder-7BAlibaba | 83.9% | not reported | 2024-09-18 | ind. | saturatedcontaminated |
| Llama 3.1 8BMeta AI | 82.4% | not reported | 2024-07-23 | ind. | saturatedcontaminated |
| Gemini 1.5 Flash (001)Google DeepMind | 82.4% | not reported | 2024-05-23 | ind. | saturatedcontaminated |
| GPT-3.5OpenAI | 78.2% | not reported | 2022-11-28 | ind. | saturatedcontaminateddisputed |
| Yi-Chat 34B01.AI | 76.0% | not reported | 2023-11-22 | ind. | saturatedcontaminateddisputed |
| Mixtral 8x7BMistral AI | 74.4% | not reported | 2023-12-11 | ind. | saturatedcontaminated |
| Yi-Chat 34B01.AI | 71.7% | not reported | 2023-11-22 | ind. | saturatedcontaminateddisputed |
| LLAMA 2 70BMeta AI | 69.6% | not reported | 2023-07-18 | ind. | saturatedcontaminateddisputed |
| StableBeluga2 70BStability AI | 69.6% | not reported | 2023-07-20 | ind. | saturatedcontaminated |
| Yi 34B01.AI | 67.2% | not reported | 2023-11-02 | ind. | saturatedcontaminated |
| Qwen2.5-Coder-1.5BAlibaba | 65.8% | not reported | 2024-09-18 | ind. | saturatedcontaminated |
| LLAMA 2 70BMeta AI | 63.3% | not reported | 2023-07-18 | ind. | saturatedcontaminateddisputed |
| QWEN 14BAlibaba | 61.3% | not reported | 2023-09-28 | ind. | saturatedcontaminateddisputed |
| Qwen-Chat 14BAlibaba | 61.2% | not reported | 2023-09-24 | ind. | saturatedcontaminateddisputed |
| QWEN 14BAlibaba | 60.1% | not reported | 2023-09-28 | ind. | saturatedcontaminateddisputed |
| Qwen-Chat 14BAlibaba | 59.5% | not reported | 2023-09-24 | ind. | saturatedcontaminateddisputed |
| LLaMA2-Chat 70BMeta AI | 58.7% | not reported | 2023-07-18 | ind. | saturatedcontaminateddisputed |
| StarCoder2-15BHugging Face,ServiceNow,NVIDIA,BigCode | 57.7% | not reported | 2024-02-20 | ind. | saturatedcontaminated |
| code-davinci-002OpenAI | 56.8% | not reported | 2022-03-15 | ind. | saturatedcontaminated |
| LLAMA 2 70BMeta AI | 56.8% | not reported | 2023-07-18 | ind. | saturatedcontaminateddisputed |
| PaLM 540BGoogle Research | 56.5% | not reported | 2022-04-04 | ind. | saturatedcontaminated |
| Mistral 7BMistral AI | 54.4% | not reported | 2023-09-27 | ind. | saturatedcontaminateddisputed |
| Falcon 180BTechnology Innovation Institute | 54.4% | not reported | 2023-09-06 | ind. | saturatedcontaminated |
| LLaMA 65BMeta AI | 54.4% | not reported | 2023-02-24 | ind. | saturatedcontaminateddisputed |
| Falcon2-11B stage 4Technology Innovation Institute | 53.8% | not reported | 2024-05-09 | ind. | saturatedcontaminated |
| Baichuan2 13BBaichuan | 52.8% | not reported | 2023-09-06 | ind. | saturatedcontaminateddisputed |
| QWEN 7BAlibaba | 51.7% | not reported | 2023-09-28 | ind. | saturatedcontaminated |
| LLaMA 65BMeta AI | 50.9% | not reported | 2023-02-24 | ind. | saturatedcontaminateddisputed |
| GPT-3.5OpenAI | 50.6% | not reported | 2022-11-28 | ind. | saturatedcontaminateddisputed |
| Mistral 7BMistral AI | 50.0% | not reported | 2023-09-27 | ind. | saturatedcontaminateddisputed |
| LLAMA 2 70BMeta AI | 48.4% | not reported | 2023-07-18 | ind. | saturatedcontaminateddisputed |
| Mistral 7BMistral AI | 47.5% | not reported | 2023-09-27 | ind. | saturatedcontaminateddisputed |
| LLaMA2-Chat 70BMeta AI | 47.1% | not reported | 2023-07-18 | ind. | saturatedcontaminateddisputed |
| GPT-3.5 TurboOpenAI | 46.9% | not reported | 2023-06-13 | ind. | saturatedcontaminated |
| LLaMA 65BMeta AI | 46.6% | not reported | 2023-02-24 | ind. | saturatedcontaminateddisputed |
| Gemma 7BGoogle DeepMind | 46.4% | not reported | 2024-02-21 | ind. | saturatedcontaminated |
| Nemotron-4 15BNVIDIA | 46.0% | not reported | 2024-02-26 | ind. | saturatedcontaminated |
| Yi-Chat 6B01.AI | 44.9% | not reported | 2023-11-22 | ind. | saturatedcontaminateddisputed |
| LLaMA 33BMeta AI | 44.1% | not reported | 2023-02-24 | ind. | saturatedcontaminateddisputed |
| LLaMA 33BMeta AI | 42.3% | not reported | 2023-02-24 | ind. | saturatedcontaminateddisputed |
| LLAMA 2 34BMeta AI | 42.2% | not reported | 2023-07-18 | ind. | saturatedcontaminated |
| GPT-3.5OpenAI | 41.5% | not reported | 2022-03-15 | ind. | saturatedcontaminated |
| INTELLECT-1-InstructPrime Intellect,Hugging Face,Arcee AI | 38.6% | not reported | 2024-11-29 | ind. | saturatedcontaminated |
| Yi-Chat 6B01.AI | 38.4% | not reported | 2023-11-22 | ind. | saturatedcontaminateddisputed |
| Mistral 7BMistral AI | 38.1% | not reported | 2023-09-27 | ind. | saturatedcontaminateddisputed |
| LLaMA2-Chat 13BMeta AI | 36.9% | not reported | 2023-07-18 | ind. | saturatedcontaminateddisputed |
| LLaMA 33BMeta AI | 35.6% | not reported | 2023-02-24 | ind. | saturatedcontaminateddisputed |
| Mistral 7BMistral AI | 35.4% | not reported | 2023-12-11 | ind. | saturatedcontaminated |
| Mistral 7BMistral AI | 35.4% | not reported | 2023-09-27 | ind. | saturatedcontaminateddisputed |
| DS-Coder-33B-BaseDeepSeek,Peking University | 35.4% | not reported | 2023-11-02 | ind. | saturatedcontaminated |
| MPT-Instruct (30B)MosaicML | 34.4% | not reported | 2023-06-22 | ind. | saturatedcontaminated |
| LLaMA-2 13BMeta AI | 34.3% | not reported | 2023-07-18 | ind. | saturatedcontaminateddisputed |
| Falcon-Instruct (40B)Technology Innovation Institute | 33.8% | not reported | 2023-05-25 | ind. | saturatedcontaminated |
| StarCoder2-7BHugging Face,ServiceNow,NVIDIA,BigCode | 32.7% | not reported | 2024-02-20 | ind. | saturatedcontaminated |
| Yi 6B01.AI | 32.5% | not reported | 2023-11-02 | ind. | saturatedcontaminated |
| LLaMA 33BMeta AI | 32.0% | not reported | 2023-02-24 | ind. | saturatedcontaminateddisputed |
| LLaMA-2 13BMeta AI | 29.6% | not reported | 2023-07-18 | ind. | saturatedcontaminateddisputed |
| LLaMA-2 13BMeta AI | 28.9% | not reported | 2023-07-18 | ind. | saturatedcontaminateddisputed |
| LLaMA-2 13BMeta AI | 28.7% | not reported | 2023-07-18 | ind. | saturatedcontaminateddisputed |
| Baichuan 1-13B-BaseBaichuan | 26.8% | not reported | 2023-07-11 | ind. | saturatedcontaminated |
| Falcon 40BTechnology Innovation Institute | 25.0% | not reported | 2023-03-15 | ind. | saturatedcontaminateddisputed |
| Baichuan2 7BBaichuan | 24.6% | not reported | 2023-09-20 | ind. | saturatedcontaminateddisputed |
| LLaMA-2 13BMeta AI | 24.5% | not reported | 2023-07-18 | ind. | saturatedcontaminateddisputed |
| Baichuan2 7BBaichuan | 24.5% | not reported | 2023-09-20 | ind. | saturatedcontaminateddisputed |
| Vicuna v1.3 (13B)Large Model Systems Organization,University of California (UC) Berkeley | 22.6% | not reported | 2023-06-18 | ind. | saturatedcontaminated |
| Baichuan2 13BBaichuan | 22.1% | not reported | 2023-09-06 | ind. | saturatedcontaminateddisputed |
| StarCoder2-3BHugging Face,ServiceNow,NVIDIA,BigCode | 21.6% | not reported | 2024-02-22 | ind. | saturatedcontaminated |
| Falcon 40BTechnology Innovation Institute | 21.5% | not reported | 2023-03-15 | ind. | saturatedcontaminateddisputed |
| DS-Coder-6.7B-BaseDeepSeek,Peking University | 21.3% | not reported | 2023-11-02 | ind. | saturatedcontaminated |
| LLaMA 13BMeta AI | 20.5% | not reported | 2023-02-24 | ind. | saturatedcontaminateddisputed |
| LLaMA 13BMeta AI | 20.3% | not reported | 2023-02-24 | ind. | saturatedcontaminateddisputed |
| Falcon 40BTechnology Innovation Institute | 19.6% | not reported | 2023-03-15 | ind. | saturatedcontaminateddisputed |
| LLaMA 13BMeta AI | 17.8% | not reported | 2023-02-24 | ind. | saturatedcontaminateddisputed |
| Gemma 2BGoogle DeepMind | 17.7% | not reported | 2024-02-21 | ind. | saturatedcontaminated |
| LLAMA 2 7BMeta AI | 16.7% | not reported | 2023-07-18 | ind. | saturatedcontaminateddisputed |
| MPT 30BMosaicML | 16.4% | not reported | 2023-06-22 | ind. | saturatedcontaminateddisputed |
| LLAMA 2 7BMeta AI | 16.2% | not reported | 2023-07-18 | ind. | saturatedcontaminateddisputed |
| LLAMA 2 7BMeta AI | 16.0% | not reported | 2023-07-18 | ind. | saturatedcontaminateddisputed |
| LLaMA 13BMeta AI | 15.4% | not reported | 2023-02-24 | ind. | saturatedcontaminateddisputed |
| MPT 30BMosaicML | 15.2% | not reported | 2023-06-22 | ind. | saturatedcontaminateddisputed |
| LLAMA 2 7BMeta AI | 14.6% | not reported | 2023-07-18 | ind. | saturatedcontaminateddisputed |
| LLaMA 7BMeta AI | 11.0% | not reported | 2023-02-24 | ind. | saturatedcontaminateddisputed |
| LLaMA 7BMeta AI | 9.8% | not reported | 2023-02-24 | ind. | saturatedcontaminateddisputed |
| BLOOM (176B)Hugging Face,BigScience | 9.5% | not reported | 2022-07-06 | ind. | saturatedcontaminated |
| Baichuan 1-7BBaichuan | 9.2% | not reported | 2023-06-01 | ind. | saturatedcontaminated |
| MPT 7BMosaicML | 9.1% | not reported | 2023-05-05 | ind. | saturatedcontaminateddisputed |
| davinci (175B)OpenAI | 9.0% | not reported | not reported | ind. | saturatedcontaminated |
| MPT 7BMosaicML | 8.6% | not reported | 2023-05-05 | ind. | saturatedcontaminateddisputed |
| LLaMA 7BMeta AI | 8.0% | not reported | 2023-02-24 | ind. | saturatedcontaminateddisputed |
| MPT 7BMosaicML | 6.8% | not reported | 2023-05-05 | ind. | saturatedcontaminateddisputed |
| Falcon 7BTechnology Innovation Institute | 6.8% | not reported | 2023-04-24 | ind. | saturatedcontaminateddisputed |
| Falcon 7BTechnology Innovation Institute | 5.5% | not reported | 2023-04-24 | ind. | saturatedcontaminateddisputed |
| Falcon 7BTechnology Innovation Institute | 4.6% | not reported | 2023-04-24 | ind. | saturatedcontaminateddisputed |
| DS-Coder-1.3B-BaseDeepSeek,Peking University | 4.4% | not reported | 2023-11-02 | ind. | saturatedcontaminated |
| OPT (175B)Meta AI | 4.0% | not reported | 2022-05-02 | ind. | saturatedcontaminated |
| Falcon 7BTechnology Innovation Institute | 4.0% | not reported | 2023-04-24 | ind. | saturatedcontaminateddisputed |
| LLaMA2-Chat 13BMeta AI | 2.7% | not reported | 2023-07-18 | ind. | saturatedcontaminateddisputed |
| OPT (66B)Meta AI | 1.8% | not reported | 2022-05-03 | ind. | saturatedcontaminated |
| curie (6.7B)OpenAI | 1.6% | not reported | not reported | ind. | saturatedcontaminated |
| babbage (1.3B)OpenAI | 0.7% | not reported | 2020-06-22 | ind. | saturatedcontaminated |
| ada (350M)OpenAI | 0.6% | not reported | not reported | ind. | saturatedcontaminated |
| text-curie-001OpenAI | 0.6% | not reported | not reported | ind. | saturatedcontaminated |
| text-ada-001OpenAI | 0.4% | not reported | not reported | ind. | saturatedcontaminated |
| text-babbage-001OpenAI | 0.0% | not reported | not reported | ind. | saturatedcontaminated |
Vendor-reported
Reported by the model's own maker. No independent measurement of these numbers is on this site.
| Model | Score | Harness | Measured | Provenance | Health |
|---|---|---|---|---|---|
| Claude Instant 1.2Anthropic | 86.7% | not reported | 2023-08-09 | vendor | saturatedcontaminatedvendor only |
| Claude Instant 1.1Anthropic | 80.9% | not reported | not reported | vendor | saturatedcontaminatedvendor only |
Trajectory
Best score measured on this site
As benchwiki records it
Where results are tracked
Leaderboards benchwiki lists for this benchmark. These are links out, not sources this site ingests — no score below comes from any of them.
- Papers with Code (GSM8K)third-party
Source
This record is maintained by benchwiki and mirrored here. Read the original. Upstream last updated 2026-07-22; fetched 2026-10-19 by this site.