2,000,000 token context plus reasoning support makes it a stronger fit for analytical and multi-step tasks.
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This page ranks models that explicitly expose reasoning-related support and then sorts them by context and live pricing signals that matter for analytical workloads.
TVP treats a model as reasoning-capable when the live catalog reports reasoning-related supported parameters such as reasoning or include_reasoning.
TVP refreshes this page from the live OpenRouter model catalog. This render used 428 public model records and was synchronized Jul 14, 2026, 9:32 PM UTC. Pricing, availability, and context values can change.
Verify the exact route before sending production traffic, then use the linked model and provider pages as the source for current values. Read the TVP data methodology.
2,000,000 token context plus reasoning support makes it a stronger fit for analytical and multi-step tasks.
2,000,000 token context plus reasoning support makes it a stronger fit for analytical and multi-step tasks.
1,050,000 token context plus reasoning support makes it a stronger fit for analytical and multi-step tasks.
1,050,000 token context plus reasoning support makes it a stronger fit for analytical and multi-step tasks.
1,050,000 token context plus reasoning support makes it a stronger fit for analytical and multi-step tasks.
TVP treats a model as reasoning-capable when the live catalog reports reasoning-related supported parameters such as reasoning or include_reasoning.
Reasoning models are a fit for tasks where the cost of a bad answer is higher than the cost of a slower or more expensive call, such as research, planning, or complex debugging.
TVP keeps the shortlist connected to the current catalog, provider coverage, and token pricing so buyers can move from research to routing without starting over.