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TVP refreshes this page from the live OpenRouter model catalog. This render used 625 public model records and was synchronized Sep 29, 2026, 1:38 PM UTC. Pricing, availability, and context values can change.
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53Models
1,048,576Max context
$0.05Lowest listed input
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Start testing
High-context listed models to evaluate next
- Anthropic: Claude Sonnet 5.5Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing...
- Anthropic: Claude Sonnet 5.5 (batch)Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing...
- Anthropic: Claude Opus 5.5Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code...
- Anthropic: Claude Opus 5.5 (batch)Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code...
- Google: Gemini 3.8 FlashGemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
- Google: Gemini 3.8 Flash (batch)Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
- Google: Gemini 3.7 FlashGemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...
- Google: Gemini 3.7 Flash (batch)Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...
Provider FAQ
How to make the provider decision
Is Anthropic or Google better for research?
Research workloads need enough context, strong analytical behavior, and a price point that fits the volume of source processing. Compare those live signals here before choosing.
How should I evaluate Claude and Gemini candidates?
Start with the specific models, then compare their context, capability support, and route cost. This provider page is a starting point rather than a substitute for a model-level test.
