Multilingual Grade School Math (MGSM)
We show this table for reference; we do not rank on it.
A multilingual benchmark that translates 250 grade school math problems from GSM8K into 10 typologically diverse languages: Bengali, German, Spanish, French, Japanese, Russian, Swahili, Telugu, Thai, and Chinese.
Benchmark score on MGSM — November 13, 2026
We compile the MGSM rows from provider self-reports. o4-mini leads the table at 93.7%, followed by Llama 3.3 70B (91.1%) and o1-mini (89.9%). We do not use these results to rank models overall.
o4-mini
OpenAI
Reported by OpenAILlama 3.3 70B
Meta
Reported by Metao1-mini
OpenAI
Reported by OpenAI15 modelsMultilingualStaleDisplay onlyUpdated November 13, 2026
Benchmark score table (15 models)
All 15 results on this page were reported by the labs that built the models.
| Rank | Model / configuration | Score | Who ran it | Parameters (B) | Open / closed |
|---|---|---|---|---|---|
| 1 | o4-miniOpenAIReported by OpenAI | 93.7% | Reported by OpenAI | Not reported | Closed |
| 2 | Llama 3.3 70BMetaReported by Meta | 91.1% | Reported by Meta | Not reported | Open |
| 3 | o1-miniOpenAIReported by OpenAI | 89.9% | Reported by OpenAI | Not reported | Closed |
| 4 | GPT-4.5OpenAIReported by OpenAI | 86.9% | Reported by OpenAI | Not reported | Closed |
| 5 | Llama 3.1 70BMetaReported by Meta | 86.9% | Reported by Meta | Not reported | Open |
| 6 | DeepSeek V4 Flash BaseDeepSeekReported by DeepSeek | 85.7% | Reported by DeepSeek | Not reported | Open |
| 7 | Claude 3.5 HaikuAnthropicReported by Anthropic | 85.6% | Reported by Anthropic | Not reported | Closed |
| 8 | DeepSeek V4 Pro BaseDeepSeekReported by DeepSeek | 84.4% | Reported by DeepSeek | Not reported | Open |
| 9 | Phi-4MicrosoftReported by Microsoft | 80.6% | Reported by Microsoft | Not reported | Open |
| 10 | Llama 3.1 8BMetaReported by Meta | 68.9% | Reported by Meta | Not reported | Open |
| 11 | Phi-3.5-miniMicrosoftReported by Microsoft | 47.9% | Reported by Microsoft | Not reported | Open |
| 12 | Granite-4.0-1BIBMReported by IBM | 37.8% | Reported by IBM | Not reported | Open |
| 13 | Granite-4.0-H-1BIBMReported by IBM | 27.5% | Reported by IBM | Not reported | Open |
| 14 | Granite-4.0-H-350MIBMReported by IBM | 16.2% | Reported by IBM | Not reported | Open |
| 15 | Granite-4.0-350MIBMReported by IBM | 14.7% | Reported by IBM | Not reported | Open |
- Lab-reported
- Benchmark-run
- Independent
MGSM
BenchLM mirrors this Vals AI leaderboard for reference only. It is excluded from BenchLM overall and category rankings.
| Source rank | Source model or configuration | MGSM score | Source setup | Parameters (B) | Open / closed |
|---|---|---|---|---|---|
| 1 | Claude Opus 4.5 ThinkingAnthropic | 95.20% | Vals AIOriginal result | Not reported | Closed |
| 2 | Claude Opus 4.5Anthropic | 94.76% | Vals AIOriginal result | Not reported | Closed |
| 3 | Claude Opus 4.1 20250805 ThinkingAnthropic | 94.44% | Vals AIOriginal result | Not reported | Unknown |
| 4 | Claude Sonnet 4.5 ThinkingAnthropic | 94.33% | Vals AIOriginal result | Not reported | Closed |
| 5 | Claude Opus 4.1Anthropic | 94.22% | Vals AIOriginal result | Not reported | Unknown |
| 6 | GPT-5.2OpenAI | 94.00% | xhigh reasoningOriginal result | Not reported | Closed |
| 7 | Gemini 3 Pro PreviewGoogle | 93.93% | high reasoningOriginal result | Not reported | Unknown |
| 8 | Claude Opus 4Anthropic | 93.78% | Vals AIOriginal result | Not reported | Unknown |
| 9 | o4-miniOpenAI | 93.42% | high reasoningOriginal result | Not reported | Closed |
| 10 | Gemini 3 Flash PreviewGoogle | 93.31% | high reasoningOriginal result | Not reported | Unknown |
| 11 | Claude Sonnet 4Anthropic | 93.02% | Vals AIOriginal result | Not reported | Unknown |
| 12 | GPT-5.1OpenAI | 92.98% | high reasoningOriginal result | Not reported | Closed |
| 13 | Claude 3.7 Sonnet ThinkingAnthropic | 92.98% | Vals AIOriginal result | Not reported | Closed |
| 14 | GPT-5OpenAI | 92.84% | high reasoningOriginal result | Not reported | Unknown |
| 15 | Claude 3.5 SonnetAnthropic | 92.58% | Vals AIOriginal result | Not reported | Closed |
| 16 | GPT-5 miniOpenAI | 92.58% | high reasoningOriginal result | Not reported | Closed |
| 17 | Qwen3 235B-A22BAlibaba | 92.47% | Vals AIOriginal result | Not reported | Open |
| 18 | Llama4 Maverick Instruct BasicFireworks | 92.44% | Vals AIOriginal result | Not reported | Unknown |
| 19 | Claude 3.7 SonnetAnthropic | 92.40% | Vals AIOriginal result | Not reported | Closed |
| 20 | DeepSeek-R1DeepSeek | 92.25% | Vals AIOriginal result | Not reported | Open |
| 21 | Claude Haiku 4.5 ThinkingAnthropic | 92.15% | Vals AIOriginal result | Not reported | Closed |
| 22 | DeepSeek V3DeepSeek | 92.15% | Vals AIOriginal result | Not reported | Open |
| 23 | Qwen3 Max PreviewAlibaba | 92.15% | Vals AIOriginal result | Not reported | Unknown |
| 24 | GPT-OSS 120BOpenAI | 92.04% | Vals AIOriginal result | Not reported | Open |
| 25 | Qwen3 MaxAlibaba | 91.82% | Vals AIOriginal result | Not reported | Closed |
| 26 | o3OpenAI | 91.75% | high reasoningOriginal result | Not reported | Closed |
| 27 | DeepSeek V3 0324DeepSeek | 91.67% | Vals AIOriginal result | Not reported | Open |
| 28 | Grok 3xAI | 91.35% | Vals AIOriginal result | Not reported | Unknown |
| 29 | o3-miniOpenAI | 91.35% | high reasoningOriginal result | Not reported | Closed |
| 30 | Meta Llama Llama 3.3 70B Instruct TurboTogether AI | 91.09% | Vals AIOriginal result | Not reported | Unknown |
| 31 | Moonshotai Kimi K2 InstructTogether AI | 90.95% | Vals AIOriginal result | Not reported | Unknown |
| 32 | Grok 4 0709xAI | 90.91% | Vals AIOriginal result | Not reported | Unknown |
| 33 | Grok 4 Fast (Reasoning)xAI | 90.87% | Vals AIOriginal result | Not reported | Closed |
| 34 | Mistral Medium 2505Mistral AI | 90.87% | Vals AIOriginal result | Not reported | Unknown |
| 35 | DeepSeek V3p2Fireworks | 90.87% | Vals AIOriginal result | Not reported | Unknown |
| 36 | Claude Sonnet 4 20250514 ThinkingAnthropic | 90.87% | Vals AIOriginal result | Not reported | Unknown |
| 37 | GLM-4.5Z.AI | 90.84% | Vals AIOriginal result | Not reported | Closed |
| 38 | GPT-4oOpenAI | 90.69% | high reasoningOriginal result | Not reported | Closed |
| 39 | Grok 3 Mini Fast High ReasoningxAI | 90.44% | high reasoningOriginal result | Not reported | Unknown |
| 40 | GPT-4oOpenAI | 90.36% | high reasoningOriginal result | Not reported | Closed |
| 41 | Grok 3 Mini Fast Low ReasoningxAI | 90.36% | low reasoningOriginal result | Not reported | Unknown |
| 42 | Kimi K2 ThinkingMoonshot AI | 90.15% | Vals AIOriginal result | Not reported | Unknown |
| 43 | Gemini 2.5 Flash Preview 09 2025Google | 89.85% | Vals AIOriginal result | Not reported | Unknown |
| 44 | Gemini 2.5 Flash Preview 09 2025 ThinkingGoogle | 89.82% | Vals AIOriginal result | Not reported | Unknown |
| 45 | GLM-4.6Z.AI | 89.75% | Vals AIOriginal result | Not reported | Open |
| 46 | Gemini 2.5 Flash Lite Preview 09 2025Google | 89.53% | Vals AIOriginal result | Not reported | Unknown |
| 47 | Grok 4.1 Fast (Reasoning)xAI | 89.53% | Vals AIOriginal result | Not reported | Closed |
| 48 | o1OpenAI | 89.31% | high reasoningOriginal result | Not reported | Closed |
| 49 | GPT-5 nanoOpenAI | 89.31% | high reasoningOriginal result | Not reported | Closed |
| 50 | Gemini 1.5 Pro 002Google | 89.20% | Vals AIOriginal result | Not reported | Unknown |
| 51 | Gemini 2.0 Flash 001Google | 89.02% | Vals AIOriginal result | Not reported | Unknown |
| 52 | GPT-OSS 20BOpenAI | 89.02% | Vals AIOriginal result | Not reported | Open |
| 53 | Gemini 2.5 Flash Lite Preview 09 2025 ThinkingGoogle | 88.40% | Vals AIOriginal result | Not reported | Unknown |
| 54 | GLM-4.7Z.AI | 88.18% | Vals AIOriginal result | Not reported | Open |
| 55 | Grok 4 Fast Non ReasoningxAI | 88.00% | Vals AIOriginal result | Not reported | Unknown |
| 56 | Meta Llama Llama 4 Scout 17B 16E InstructTogether AI | 87.96% | Vals AIOriginal result | Not reported | Unknown |
| 57 | MiniMax M2.1MiniMax | 87.85% | Vals AIOriginal result | Not reported | Unknown |
| 58 | GPT-4.1 miniOpenAI | 87.78% | high reasoningOriginal result | Not reported | Closed |
| 59 | GPT-4.1OpenAI | 87.67% | high reasoningOriginal result | Not reported | Closed |
| 60 | Grok 4.1 Fast Non ReasoningxAI | 87.56% | Vals AIOriginal result | Not reported | Unknown |
| 61 | Mistral Large 2411Mistral AI | 87.24% | Vals AIOriginal result | Not reported | Unknown |
| 62 | Gemini 1.5 Flash 002Google | 86.58% | Vals AIOriginal result | Not reported | Unknown |
| 63 | Magistral Small 2509Mistral AI | 86.25% | Vals AIOriginal result | Not reported | Unknown |
| 64 | GPT-4o miniOpenAI | 86.18% | high reasoningOriginal result | Not reported | Closed |
| 65 | Grok 2 1212xAI | 86.15% | Vals AIOriginal result | Not reported | Unknown |
| 66 | DeepSeek V3p2 ThinkingFireworks | 86.04% | Vals AIOriginal result | Not reported | Unknown |
| 67 | Command A 03 2025Cohere | 85.71% | Vals AIOriginal result | Not reported | Unknown |
| 68 | Mistral Large 2512Mistral AI | 85.42% | Vals AIOriginal result | Not reported | Unknown |
| 69 | Claude 3.5 HaikuAnthropic | 84.62% | Vals AIOriginal result | Not reported | Closed |
| 70 | Mistral Small 2503Mistral AI | 84.22% | Vals AIOriginal result | Not reported | Unknown |
| 71 | Mistral Small 2402Mistral AI | 83.96% | Vals AIOriginal result | Not reported | Unknown |
| 72 | Magistral Medium 2509Mistral AI | 74.62% | Vals AIOriginal result | Not reported | Unknown |
| 73 | Jamba Large 1.6AI21 Labs | 71.24% | Vals AIOriginal result | Not reported | Unknown |
| 74 | GPT-4.1 nanoOpenAI | 69.27% | high reasoningOriginal result | Not reported | Closed |
| 75 | Jamba Mini 1.6AI21 Labs | 41.71% | Vals AIOriginal result | Not reported | Unknown |
MGSM Bengali (Kaggle)
Native accuracy proportions are displayed as percentages. Source profiles stay separate from canonical model identities and from multilingual aggregate results. How Kaggle Benchmarks reruns tests.
| Source rank | Source model or configuration | Accuracy | Source setup | Parameters (B) | Open / closed |
|---|---|---|---|---|---|
| 1 | Claude Opus 4.8 | 95.6% | Evaluation date not reportedOriginal result | Not reported | Unknown |
| 2 | Claude Opus 4 | 94.4% | Evaluated 2025-07-01Original result | Not reported | Unknown |
| 3 | GPT-5 | 94.0% | Evaluated 2025-08-19Original result | Not reported | Unknown |
| 4 | Gemini 2.5 Pro Preview | 92.8% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 5 | Claude Opus 4.1 | 92.8% | Evaluated 2025-08-20Original result | Not reported | Unknown |
| 6 | Gemma 4 26B A4B | 92.4% | Evaluation date not reportedOriginal result | Not reported | Unknown |
| 7 | o4 mini | 91.6% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 8 | gpt-oss-120b | 91.2% | Evaluated 2025-08-19Original result | Not reported | Unknown |
| 9 | gpt-oss-20b | 91.2% | Evaluated 2025-08-19Original result | Not reported | Unknown |
| 10 | Claude 3.7 Sonnet | 90.4% | Evaluated 2025-07-01Original result | Not reported | Unknown |
| 11 | DeepSeek-V3 | 89.2% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 12 | deepseek-v3.1 | 89.2% | Evaluated 2025-08-27Original result | Not reported | Unknown |
| 13 | Gemini 1.5 Pro | 88.8% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 14 | GPT-4o | 88.8% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 15 | DeepSeek-R1 | 88.8% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 16 | Claude 3.5 Sonnet | 88.4% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 17 | o3 mini | 88.4% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 18 | Grok 3 Mini | 88.4% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 19 | Gemini 3 Pro Preview | 88.4% | Evaluated 2025-11-14Original result | Not reported | Unknown |
| 20 | Gemini 1.5 Flash | 87.6% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 21 | Gemini 2.5 Flash Preview | 87.6% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 22 | o3 | 87.6% | Evaluated 2025-07-01Original result | Not reported | Unknown |
| 23 | Claude Sonnet 4 | 85.6% | Evaluated 2025-07-01Original result | Not reported | Unknown |
| 24 | Gemini 3.5 Flash | 83.5% | Evaluation date not reportedOriginal result | Not reported | Unknown |
| 25 | Mistral Large 2 | 83.2% | Evaluated 2025-07-01Original result | Not reported | Unknown |
| 26 | Grok 4 | 82.8% | Evaluated 2025-09-02Original result | Not reported | Unknown |
| 27 | GPT-4o mini | 82.0% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 28 | Claude 3.5 Haiku | 78.8% | Evaluated 2025-07-01Original result | Not reported | Unknown |
| 29 | Gemini 1.5 Flash 8B | 78.4% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 30 | Grok 3 | 78.0% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 31 | Gemma 3 12B | 74.4% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 32 | Codestral | 74.0% | Evaluated 2025-07-01Original result | Not reported | Unknown |
| 33 | Gemini 2.0 Flash | 72.8% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 34 | o1 | 66.8% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 35 | Qwen 3 235B A22B Thinking | 65.6% | Evaluated 2025-08-19Original result | Not reported | Unknown |
| 36 | Gemma 3 4B | 64.8% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 37 | Mixtral 8x22B | 58.8% | Evaluated 2025-07-01Original result | Not reported | Unknown |
| 38 | Gemma 4 31B | 57.2% | Evaluation date not reportedOriginal result | Not reported | Unknown |
| 39 | Ministral 8B | 56.0% | Evaluated 2025-07-01Original result | Not reported | Unknown |
| 40 | GPT-4.1 | 54.0% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 41 | Granite 4.0 Small | 53.2% | Evaluated 2025-09-30Original result | Not reported | Unknown |
| 42 | Grok 2 | 50.4% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 43 | Gemma 3 27B | 48.8% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 44 | o1 mini | 46.4% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 45 | GPT-3.5 Turbo | 32.8% | Evaluated 2025-06-30Original result | Not reported | Unknown |
| 46 | Ministral 3B | 24.8% | Evaluated 2025-07-01Original result | Not reported | Unknown |
Among the reported MGSM rows, o4-mini is first at 93.7%. The third row is 3.8 points behind. The broader top-10 range is 24.8 points, so the table still separates the published systems.
15 models have been evaluated on MGSM. The benchmark falls in the Multilingual category. MGSM is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About MGSM
Year
2022
Tasks
250 problems × 11 languages
Format
Math word problems
Difficulty
Grade school math, multilingual
MGSM evaluates mathematical reasoning across languages, revealing that performance can vary significantly across languages, with lower-resource languages (Bengali, Swahili, Telugu) typically showing the largest gaps.
Freshness and provenance
Version
MGSM 2022
Refresh cadence
Static
Staleness state
Stale
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does MGSM measure?
A multilingual benchmark that translates 250 grade school math problems from GSM8K into 10 typologically diverse languages: Bengali, German, Spanish, French, Japanese, Russian, Swahili, Telugu, Thai, and Chinese.
Which model scores highest on MGSM?
o4-mini by OpenAI currently leads with a score of 93.7% on MGSM.
How many models are evaluated on MGSM?
15 AI models have published results on MGSM in the BenchLM catalog.
Compare top models on MGSM
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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