119Models
1,050,000Max context
$0.01Lowest listed input
- audio
- decisions
- embeddings
- file
- image
- structured
- text
- tools
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 685 public model records and was synchronized Oct 26, 2026, 7:31 AM 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
1,048,576Max context
$0.02Lowest listed input
- image
- structured
- text
- tools
Start testing
High-context listed models to evaluate next
- OpenAI: GPT-6 Luna DecisionsGPT-6 Luna Decisions is [GPT-6 Luna](/openai/gpt-6-luna) served through OpenAI's Decisions API. Instead of generating text, it reads the content passed as `state` (text, JSON, or images) and returns typed, probabilistic...
- OpenAI: GPT-6.1 Sol ProGPT-6.1 Sol Pro is the same underlying model as [GPT-6.1 Sol](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-6.1 Sol Pro (batch)GPT-6.1 Sol Pro is the same underlying model as [GPT-6.1 Sol](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-6.1 SolGPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional...
- DeepSeek: DeepSeek V4.1 Flash 1017DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-experts model...
- 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.
