Vector Eval - GSM8K — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 11 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude 3.5 Sonnet | 96.21 |
| 2 | Gemini 1.5 Pro | 96.13 |
| 3 | DeepSeek R1 | 95.45 |
| 4 | Llama 3.1 70B Instruct | 94.69 |
| 5 | O3 Mini | 94.54 |
| 6 | GPT-4o | 94.47 |
| 7 | O1 | 94.16 |
| 8 | Mistral Large 2 (Jul) | 93.78 |
| 9 | GPT-4o Mini | 91.81 |
| 10 | Gemini 1.5 Flash | 85.82 |
| 11 | Command-R+ | 78.17 |
Interactive version: theaggregate.ai/benchmark?slug=vector-eval-gsm8k · How the rankings work · Data refreshed daily, snapshot 2026-07-22.