Live market data

AI model market snapshot

A current view of the TVP catalog for teams comparing provider breadth, paid pricing coverage, large-context candidates, and low-cost production routes.

685Listed models

95Providers

570Paid input prices

Fast answer

What this snapshot can tell you now

Use the cheapest-routes list only after checking context and capabilities. Use the largest-context list when documents, repositories, transcripts, or agent memory are the bottleneck. TVP starts recording comparison history only after a durable snapshot store is enabled, so this page does not claim unobserved price changes.

Cost coverage

Lowest listed paid input prices

perplexity

Perplexity: Embed V1 0.6B

$0.004Input / 1M

32,000Context

thenlper

Thenlper: GTE-Base

$0.005Input / 1M

512Context

intfloat

Intfloat: E5-Base-v2

$0.005Input / 1M

512Context

sentence-transformers

Sentence Transformers: paraphrase-MiniLM-L6-v2

$0.005Input / 1M

512Context

sentence-transformers

Sentence Transformers: all-MiniLM-L12-v2

$0.005Input / 1M

512Context

baai

BAAI: bge-base-en-v1.5

$0.005Input / 1M

512Context

sentence-transformers

Sentence Transformers: multi-qa-mpnet-base-dot-v1

$0.005Input / 1M

512Context

sentence-transformers

Sentence Transformers: all-mpnet-base-v2

$0.005Input / 1M

512Context

Context coverage

Largest listed context windows

x-ai

SpaceXAI: Grok 4.20 Multi-Agent

Grok 4.20 Multi-Agent is a variant of SpaceXAI’s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordinate tool use, and synthesize information...

2,000,000Context

x-ai

SpaceXAI: Grok 4.20

Grok 4.20 is a reasoning model from SpaceXAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering...

2,000,000Context

meta-llama

Meta: Llama 4 Scout

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...

1,310,720Context

openai

OpenAI: GPT-6 Luna Decisions

GPT-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...

1,050,000Context

openai

OpenAI: GPT-6.1 Sol Pro

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...

1,050,000Context

openai

OpenAI: GPT-6.1 Sol Pro (batch)

1,050,000Context

openai

OpenAI: GPT-6.1 Sol

GPT-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...

1,050,000Context

openai

OpenAI: GPT-6.1 Sol (batch)

GPT-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...

1,050,000Context

Provider inventory

Largest TVP provider catalogs

openai119 models, 119 with paid input pricing
qwen54 models, 49 with paid input pricing
google53 models, 46 with paid input pricing
mistralai35 models, 35 with paid input pricing
anthropic30 models, 30 with paid input pricing
nvidia21 models, 8 with paid input pricing
z-ai18 models, 18 with paid input pricing
recraft16 models, 0 with paid input pricing
deepseek15 models, 15 with paid input pricing
x-ai15 models, 10 with paid input pricing
minimax14 models, 11 with paid input pricing
microsoft12 models, 12 with paid input pricing

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.