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
Use ecosystem fit as the first filter when your stack already depends heavily on one provider
Data source and freshness
Catalog-backed, not a static price sheet
TVP refreshes this page from the live OpenRouter model catalog. This render used 684 public model records and was synchronized Oct 26, 2026, 2:26 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
53Models
1,048,576Max context
$0.04Lowest listed input
- audio
- embeddings
- file
- image
- speech
- 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...
- Google: Gemini 4 ArgonGemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...
- Google: Gemini 4 Argon (batch)Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...
- 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.
Provider FAQ
How to make the provider decision
Should I choose OpenAI or Google for multimodal work?
Compare the currently listed image-capable models, context windows, and pricing on the live provider cards. The strongest choice depends on the inputs and throughput your route handles.
Do provider model counts decide this comparison?
No. More listed models create more options, but the best production decision comes from a shortlist of models that meet the workload requirements.
