Best AI for Live market data (November 2026)
Data refreshed 1 Nov 2026
gpt-5 leads CAIA (Crypto AI Agent Benchmark) with 67.4 (accuracy % (majority vote, 5 runs)). grok-4 leads FinSearchComp with 68.9 (Global subset average accuracy %).
- Benchmarks in this use case
- 4
- With dated scores
- 2
- Models with scores
- 20
- Latest source date
- 17 Jan 2026
Live market data picks
The leader on each benchmark, never combinedBest on CAIA (Crypto AI Agent Benchmark)
gpt-5OpenAI
67.4 accuracy % (majority vote, 5 runs)
Reported by the authors, 17 Jan 2026
Best on FinSearchComp
grok-4xAI
68.9 Global subset average accuracy %
Reported by the authors, 16 Sept 2025
Live market data leaderboard
CAIA (Crypto AI Agent Benchmark) 0927 release; paper v2 (2026-01-17)
accuracy % (majority vote, 5 runs), higher is better. Top 5 of 10 models.
Updated 17 Jan 2026
- 1gpt-567.4
- 2GPT-OSS 120B62.9
- 3Grok 4 Fast Reasoning61.2
- 4Claude Opus 457.3
- 5Claude Sonnet 456.7
| 1 | gpt-5 | OpenAI | 67.4 | with tools | Paper Tables 2-3 Reported by the authors, 17 Jan 2026 |
|---|---|---|---|---|---|
| 2 | GPT-OSS 120B | OpenAI | 62.9 | with tools | Paper Tables 2-3 Reported by the authors, 17 Jan 2026 |
| 3 | Grok 4 Fast Reasoning | xAI | 61.2 | with tools | Paper Tables 2-3 Reported by the authors, 17 Jan 2026 |
| 4 | Claude Opus 4 | Anthropic | 57.3 | with tools | Paper Tables 2-3 Reported by the authors, 17 Jan 2026 |
| 5 | Claude Sonnet 4 | Anthropic | 56.7 | with tools | Paper Tables 2-3 Reported by the authors, 17 Jan 2026 |
| 6 | Claude Opus 4.1 | Anthropic | 56.3 | with tools | Paper Tables 2-3 Reported by the authors, 17 Jan 2026 |
| 7 | GPT-o3 | OpenAI | 53.4 | with tools | Paper Tables 2-3 Reported by the authors, 17 Jan 2026 |
| 8 | DeepSeek V3.1 | DeepSeek | 49.2 | with tools | Paper Tables 2-3 Reported by the authors, 17 Jan 2026 |
| 9 | Kimi K2 Instruct | Moonshot AI | 47.2 | with tools | Paper Tables 2-3 Reported by the authors, 17 Jan 2026 |
| 10 | GPT-4.1 | OpenAI | 46.6 | with tools | Paper Tables 2-3 Reported by the authors, 17 Jan 2026 |
FinSearchComp arXiv v1 (2025-09-16); HF dataset last modified 2025-10-27
Global subset average accuracy %, higher is better. Top 5 of 10 models.
Updated 16 Sept 2025
- 1grok-468.9
- 2GPT-5-Thinking63.9
- 3Gemini2.5-pro42.6
- 4DouBao39.1
- 5Gemini2.5-pro (Google Search)38.2
| 1 | grok-4 | xAI | 68.9 | web product | Paper Table 5 Reported by the authors, 16 Sept 2025 |
|---|---|---|---|---|---|
| 2 | GPT-5-Thinking | OpenAI | 63.9 | web product | Paper Table 5 Reported by the authors, 16 Sept 2025 |
| 3 | Gemini2.5-pro | 42.6 | web product | Paper Table 5 Reported by the authors, 16 Sept 2025 | |
| 4 | DouBao | ByteDance | 39.1 | web product | Paper Table 5 Reported by the authors, 16 Sept 2025 |
| 5 | Gemini2.5-pro (Google Search) | 38.2 | API with search | Paper Table 5 Reported by the authors, 16 Sept 2025 | |
| 6 | Qwen3-235B-A22B-2507 | Qwen | 37.4 | web product | Paper Table 5 Reported by the authors, 16 Sept 2025 |
| 7 | YuanBao-DeepSeek-V3 | Not stated | 30.5 | web product | Paper Table 5 Reported by the authors, 16 Sept 2025 |
| 8 | DouBao-Thinking | ByteDance | 29.8 | web product | Paper Table 5 Reported by the authors, 16 Sept 2025 |
| 8 | HunYuan-T1-Thinking | Tencent | 29.8 | web product | Paper Table 5 Reported by the authors, 16 Sept 2025 |
| 8 | YuanBao-DeepSeek-R1 | Not stated | 29.8 | web product | Paper Table 5 Reported by the authors, 16 Sept 2025 |