118Models
1,050,000Max context
$0.01Lowest listed input
- audio
- embeddings
- file
- image
- structured
- text
- tools
- transcription
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 625 public model records and was synchronized Sep 29, 2026, 2:27 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
15Models
1,310,720Max context
$0.018Lowest listed input
- image
- structured
- text
- tools
Start testing
High-context listed models to evaluate next
- OpenAI: GPT-6 Luna ProGPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](TVP catalog), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...
- OpenAI: GPT-6 Luna Pro (batch)GPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](TVP catalog), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...
- OpenAI: GPT-6 LunaGPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...
- OpenAI: GPT-6 Luna (batch)GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...
- DeepSeek: DeepSeek V4 Flash 0731DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....
- DeepSeek: DeepSeek V4.1 FlashDeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...
- DeepSeek: DeepSeek V4.1 Flash (batch)DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...
- DeepSeek: DeepSeek V4 Flash Vision ExpDeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash 0731](TVP catalog) from DeepSeek, adding image understanding while matching the base model on text capabilities including agents,...
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.
