Best AI Agents Models 2025 — Live Leaderboard & Rankings
AI agents represent the frontier of artificial intelligence—models that can plan, execute multi-step tasks, use tools, and adapt to complex workflows autonomously. This leaderboard ranks models based on their agentic capabilities, measuring how effectively they handle real-world scenarios like code generation, research synthesis, decision-making, and task completion without constant human guidance.
The HuaLinYuan Index for AI Agents evaluates models across dimensions critical for autonomous operation: reasoning depth, tool usage proficiency, context management, and reliability in extended workflows. Claude Opus 5.5 leads the board with a commanding 17.89 index score, followed by OpenAI's GPT-6.1 Sol at 13.81 and GPT-6 Sol at 12.6. The gap between first and second place highlights Anthropic's current edge in agentic performance, though OpenAI's strong showing with multiple models in the top five demonstrates their breadth in this space. Google's Gemini 4 Argon rounds out the top tier, offering a competitive alternative for teams already invested in the Google ecosystem.
| # | Model | Index | Price $/1M in/out | |
|---|---|---|---|---|
| 1 | Claude Opus 5.5 Anthropic | 17.89 | $4 / $20 | |
| 2 | GPT-6.1 Sol OpenAI | 13.81 | $2 / $10 | |
| 3 | GPT-6 Sol OpenAI | 12.6 | $2 / $10 | |
| 4 | Gemini 4 Argon | 12.37 | $2 / $10 | |
| 5 | GPT-6 Astra OpenAI | 12.34 | $10 / $50 | |
| 6 | Claude Fable 5.1 Anthropic | 11.74 | $10 / $50 | |
| 7 | Claude Sonnet 5.5 Anthropic | 10.75 | $2 / $10 | |
| 8 | Claude Fable 5 Anthropic | 9.27 | $10 / $50 | |
| 9 | Claude Opus 5 Anthropic | 8.21 | $5 / $25 | |
| 10 | Claude Opus 4.8 Anthropic | 7.76 | $5 / $25 | |
| 11 | GPT-5.6 Sol OpenAI | 7.61 | $4 / $20 | |
| 12 | Gemini 3.8 Flash | 5.18 | $0.75 / $3.75 | Try |
| 13 | GPT-5.5 OpenAI | 4.71 | $5 / $30 | |
| 14 | Claude Sonnet 5 Anthropic | 4.35 | $2 / $10 | |
| 15 | Grok 4.7 SpaceXAI | 3.59 | $2 / $6 | |
| 16 | DeepSeek V4.1 Flash DeepSeek | 3.34 | $0.3 / $1.20 | Try |
| 17 | Muse Spark 1.3 Meta | 3.26 | $1.25 / $4.25 | |
| 18 | MiMo V2.6 Pro Xiaomi | 3.08 | $0.435 / $0.87 | |
| 19 | GLM-5.2 Z.ai | 3.08 | $0.8 / $2.55 | |
| 20 | Kimi K3 Moonshot | 2.99 | $3 / $15 | Try |
| 21 | DeepSeek V4 Pro DeepSeek | 2.97 | $0.66 / $1.98 | |
| 22 | GPT-6 Luna OpenAI | 2.76 | $0.1 / $0.5 | |
| 23 | GPT-5.4 OpenAI | 2.67 | $2.50 / $15 | |
| 24 | Hunyuan Hy4 Preview Tencent | 2.46 | $0.834 / $2.50 | |
| 25 | MiMo V2.6 Flash Xiaomi | 2.32 | $0.14 / $0.28 | |
| 26 | Qwen3.8 Max Alibaba | 2.05 | $2 / $6 | |
| 27 | GLM-5.3 Z.ai | 1.82 | $1.40 / $4.40 | Try |
| 28 | GPT-5.6 Terra OpenAI | 1.22 | $2 / $12 | |
| 29 | Grok 4.6 SpaceXAI | 0.88 | $2 / $6 |
How to choose
- Prioritize models with proven multi-step reasoning for complex agent workflows
- Test tool integration capabilities before committing to production use
- Consider context window size for agents handling lengthy documents or conversations
FAQ
What makes a model good for AI agent tasks?
Strong agent models excel at planning, breaking down complex goals into steps, using external tools effectively, and maintaining context across long interactions. They should handle ambiguity, recover from errors, and make reliable decisions without constant supervision. Look for models with high scores in reasoning benchmarks and demonstrated success in real-world agentic applications.
Why does Claude Opus 5.5 rank so much higher than other models?
Claude Opus 5.5's 17.89 index score reflects superior performance across the metrics that matter most for agents: multi-step reasoning, tool use precision, and task completion reliability. The 4-point gap over second place suggests Anthropic has achieved a meaningful advantage in training models to operate autonomously, though specific technical details about what drives this performance aren't publicly disclosed.
Should I choose a top-ranked model or one marked 'usable here'?
Top-ranked models like Claude Opus 5.5 offer the best agentic performance but may come with higher costs or access requirements. Models marked 'usable here' like Gemini 3.8 Flash are immediately accessible and still capable for many agent tasks, making them practical choices for prototyping, cost-sensitive applications, or when you need quick deployment without premium API access.