79Models
1,050,000Max context
$0.02Lowest listed input
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Fast answer
Choose the provider route that fits the workload, not a generic brand ranking
Compare the lowest viable route cost only after confirming the model can handle the required workflow
Data source and freshness
Catalog-backed, not a static price sheet
TVP refreshes this page from the live OpenRouter model catalog. This render used 428 public model records and was synchronized Jul 14, 2026, 9:34 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.
Live coverage
Current provider inventory at a glance
11Models
1,048,576Max context
$0.09Lowest listed input
- structured
- text
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Start testing
High-context listed models to evaluate next
- OpenAI: GPT-5.6 Luna ProGPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](TVP catalog), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
- OpenAI: GPT-5.6 LunaGPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...
- OpenAI: GPT-5.6 Terra ProGPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](TVP catalog), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
- OpenAI: GPT-5.6 TerraGPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...
- DeepSeek: DeepSeek V4 ProDeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
- DeepSeek: DeepSeek V4 FlashDeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...
- DeepSeek: DeepSeek V3.2 ExpDeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
- DeepSeek: DeepSeek V3.1 TerminusDeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's...
Provider FAQ
How to make the provider decision
Is DeepSeek a practical OpenAI alternative?
It can be for suitable workloads. Teams should validate the current model capabilities, context, price, and output quality against their actual production prompts.
What is the biggest risk of choosing by price alone?
A lower token rate can cost more overall if the route needs retries, heavier prompting, or a premium fallback to reach the required quality.
