Best AI Models for Reasoning
The top models for hard reasoning, maths and multi-step problem solving, frontier flagships and dedicated thinking models. All available through one API on thalam.
- 1AIGPT-5.6 Sol$5.00 / 1M · 1M context · Medium
The top tier of OpenAI's GPT-5.6 generation. Frontier reasoning, coding, and agentic work with a 1M-token context and image input.
- 2KMKimi K3$3.00 / 1M · 1M context · Medium
Moonshot's new flagship generation. A 1M-token context and the strongest measured reasoning in our catalog.
- 3AIGPT-5.5$5.00 / 1M · 1M context · Medium
OpenAI's flagship GPT-5.5. Top-tier general intelligence, coding, and agentic tasks with a 1M-token context.
- 4GGGemini 3.7 Flash$1.50 / 1M · 1M context · Fast
Google's newest fast Gemini, built for coding and agents. Sharp gains over 3.6 on real engineering tasks, the fastest output speed of any model measured, and a 1M-token context.
- 5xAIGrok 4.3$1.25 / 1M · 1M context · Fast
xAI's flagship Grok 4.3. Fast, low-hallucination reasoning with strong agentic tool-calling, 1M context, and real-time knowledge.
- 6KMKimi K2.6$0.95 / 1M · 256K context · Medium
Moonshot's Kimi K2.6. Trillion-parameter MoE for strong agentic coding and tool-use at a low price, with 256K context.
One OpenAI-compatible endpoint for every model above. Pay per token, no subscription, credits never expire.
FAQ
What is the best AI model for reasoning?
Frontier flagships and dedicated "thinking" models (such as the DeepSeek R1 and Kimi thinking lines) lead on hard reasoning and maths. On thalam you can compare them on your own prompts through a single API.
Are reasoning models slower?
Reasoning models often trade latency for accuracy because they generate intermediate steps. A common pattern is to reserve them for hard cases and use a fast model for the rest, a per-request choice on thalam.