DTBench leaderboard: which LLMs score highest
DTBench (dynamic tool-use benchmark) currently has scores for 149 models. The top score is 98.9% by Claude Opus 5.5 (max); the median model scores 69.3% and the lowest scores 41.6%.
| # | Model | Organisation | DTBench score | Cheapest input $/M | Source | Captured |
|---|---|---|---|---|---|---|
| 1 | Claude Opus 5.5 (max) | Anthropic | 98.9% | $4.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 2 | Claude Fable 5 (max) | Anthropic | 98.4% | $10.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 3 | Claude Opus 5 (max) | Anthropic | 97.6% | $5.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 4 | GPT-6 Sol (max) | OpenAI | 97.3% | $2.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 5 | Grok 4.6 (xhigh) | xAI | 97.3% | $1.25 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 6 | Gemini 3.7 Flash (high) | Google DeepMind | 96.8% | $0.750 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 7 | Grok 4.5 (high) | xAI | 96.5% | $2.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 8 | GPT-5.5 (xhigh) | OpenAI | 96.0% | $5.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 9 | GPT-5.5 Pro (xhigh) | OpenAI | 96.0% | $30.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 10 | GPT-5.6 Sol (pro, max) | OpenAI | 96.0% | $2.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 11 | GPT-5.6 Sol (max) | OpenAI | 95.5% | $2.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 12 | Muse Spark 1.2 (xhigh) | Meta AI | 94.7% | $1.25 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 13 | Claude Opus 4.7 (max) | Anthropic | 94.7% | $5.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 14 | GPT-5.4 (xhigh) | OpenAI | 94.4% | $2.50 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 15 | Muse Spark 1.1 (high) | Meta AI | 94.4% | $1.25 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 16 | GPT-5.6 Terra (max) | OpenAI | 93.3% | $2.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 17 | Claude Sonnet 5 (max) | Anthropic | 92.5% | $2.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 18 | Qwen3.7 Max | Alibaba | 92.3% | $1.25 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 19 | Qwen3.8 Max (xhigh) | Alibaba | 92.0% | $1.65 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 20 | Claude Opus 4.6 (max) | Anthropic | 91.2% | $5.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 21 | Kimi K3 (max) | Moonshot | 91.2% | $1.29 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 22 | DeepSeek V4 Flash 0731 (max) | DeepSeek | 90.9% | $0.015 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 23 | GPT-5.2 (xhigh) | OpenAI | 90.9% | $1.75 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 24 | Kimi K2.6 | Moonshot | 90.9% | $0.650 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 25 | DeepSeek v4 Pro (max) | DeepSeek | 90.7% | $0.435 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 26 | GPT-5 (high) | OpenAI | 90.7% | $1.25 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 27 | grok-4.3 (high) | xAI | 90.7% | $1.25 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 28 | GPT-5.1 (high) | OpenAI | 90.1% | $1.25 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 29 | GPT-6 Luna (max) | OpenAI | 90.1% | $0.100 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 30 | grok-4-20 | xAI | 90.1% | $1.25 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 31 | nemotron-3-ultra | Nvidia | 90.1% | $0.500 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 32 | Claude Sonnet 4.6 (max) | Anthropic | 89.9% | $3.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 33 | GPT-5.6 Luna (max) | OpenAI | 88.8% | $0.200 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 34 | grok-4-1-fast-reasoning | xAI | 87.7% | $0.200 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 35 | Inkling (xhigh) | Thinking Machines | 87.5% | $0.950 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 36 | Qwen3.5 397B-A17B | Alibaba | 87.5% | $0.164 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 37 | Qwen 3.6 Max (Preview) | Alibaba | 87.2% | — | Epoch AI Benchmarking Hub | 2026-10-05 |
| 38 | o3-pro-2025-06-10 (high) | OpenAI | 86.9% | $20.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 39 | DeepSeek v4 Flash (max) | DeepSeek | 86.4% | $0.090 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 40 | DeepSeek-V3.2 (Thinking; Novita) | DeepSeek | 85.6% | $0.259 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 41 | o3 (high) | OpenAI | 84.8% | $2.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 42 | mimo-v2.5-pro | Xiaomi Corp | 84.5% | $0.435 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 43 | Qwen3.7 Plus | Alibaba | 84.0% | $0.282 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 44 | Qwen3.5 Flash | Alibaba | 82.9% | $0.065 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 45 | Gemma 4 31B IT | Google DeepMind | 82.7% | $0.100 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 46 | grok-4-fast | xAI | 82.7% | — | Epoch AI Benchmarking Hub | 2026-10-05 |
| 47 | Qwen3.5 27B | Alibaba | 82.4% | $0.195 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 48 | Qwen3-Max-Instruct | Alibaba | 82.1% | — | Epoch AI Benchmarking Hub | 2026-10-05 |
| 49 | Qwen 3.6 Plus (2026-04-02) | Alibaba | 81.9% | — | Epoch AI Benchmarking Hub | 2026-10-05 |
| 50 | Claude Opus 4 | Anthropic | 81.6% | $15.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
Compare all benchmarks side by side on the live leaderboard →
Among the ten highest scorers, the cheapest listed API price belongs to Gemini 3.7 Flash (high) at $0.750 per million input tokens (score 96.8%).
What DTBench measures
DTBench measures dynamic tool-use benchmark.
How to read these scores
Scores are percentages (higher is better): the share of questions or tasks the model completed correctly. Where a model is listed at several reasoning efforts, only its highest-effort row is shown. See the methodology for how rows are chosen.
Where the data comes from
Epoch AI Benchmarking Hub (CC BY 4.0). Scores were last captured 2026-10-05; the Captured column gives each row's date.