AI Models
11 modelsClaude Opus 4.6
Anthropic's most capable model
Frontier reasoning model with 1M context window. Leads on SWE-bench Verified and agentic coding tasks. Extended thinking for complex multi-step problems.
Claude Sonnet 4.6
Anthropic's balanced model
Mid-tier model balancing capability and cost. Strong on coding and agentic tasks with 200k context.
Claude Sonnet 4.5
Anthropic's previous-gen balanced model
Strong coding model with hybrid reasoning. 77.2% on SWE-bench Verified standard, 82% with parallel compute.
GPT-5
OpenAI's frontier model
OpenAI's most capable model with native tool use and extended reasoning. 94.6% on AIME 2025 without tools.
GPT-4o
OpenAI's multimodal model
Fast multimodal model handling text, images, and audio natively. Optimized for speed and cost.
Gemini 2.5 Pro
Google's frontier reasoning model
Google's thinking model with strong multimodal and coding performance. 89.8% on Global MMLU.
Llama 4 Maverick
Meta's open-weight MoE model
Mixture-of-experts open-weight model. 400B total parameters, competitive with proprietary frontier models.
DeepSeek V3
DeepSeek's flagship MoE model
Chinese-developed MoE model with 671B total/37B active parameters. 88.5% MMLU, extremely low inference cost.
DeepSeek R1
DeepSeek's reasoning model
Open-source reasoning model. 90.8% MMLU, 97.3% MATH-500. Chain-of-thought reasoning with MIT license.
Qwen 3 235B
Alibaba's flagship reasoning model
Large MoE model with strong math reasoning. 92.3% on AIME 2025. Thinking mode with Apache 2.0 license.
Mistral Large 3
Mistral's flagship MoE model
European frontier model. 675B MoE with 41B active. Strong coding performance with 92% HumanEval.