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643Models96ProvidersLivePricing
Showing 12 of 643 models
Select up to 3 live models to compare pricing, context, and endpoint coverage.
assemblyai

AssemblyAI: TTS 1

AssemblyAI TTS 1 is a text-to-speech model from AssemblyAI. It is suited for voice agents, narration, and multilingual applications, and draws on a public library of several thousand voices across...

text->speechtextspeech
Input$15.75per 1M
Output$0.00per 1M
Context0
Max output0
Details
particle-ai

Particle AI: Particle-1

Particle-1 is a token-efficient agentic coding model from Particle AI, post-trained on DeepSeek V4.1 Flash. It is suited for software engineering work such as terminal workflows, codebase changes, and data...

text+image->texttextimagetools
Input$0.2625per 1M
Output$1.05per 1M
Context1M
Max output131,072
Details
Liquid AI

LiquidAI: d1.1

d1.1 is Liquid AI's structured decision model, served as a System One endpoint and the successor to d1. Send a state along with typed questions, and it returns a choice,...

text+image->decisionstextimagedecisions
Input$0.021per 1M
Output$0.00per 1M
Context65.5K
Max output58,982
Details
Liquid AI

LiquidAI: d1-ultra Latest

This model always redirects to the latest model in the d1-ultra family.

text+image->decisionstextimagedecisions
Input$0.0441per 1M
Output$0.00per 1M
Context32.8K
Max output29,491
Details
Liquid AI

LiquidAI: d1 Latest

This model always redirects to the latest model in the d1 family.

text+image->decisionstextimagedecisions
Input$0.021per 1M
Output$0.00per 1M
Context65.5K
Max output58,982
Details
Amazon

Amazon: Titan Multimodal Embeddings G1

Amazon Titan Multimodal Embeddings G1 embeds text, images, or text and image together into a shared vector space for multimodal search and recommendation. Images are sent as base64 (up to...

text+image->embeddingsembeddingstextimage
Input$0.84per 1M
Output$0.00per 1M
Context128
Max output115
Details
Amazon

Amazon: Titan Embeddings G1 - Text

Amazon Titan Embeddings G1 - Text is the first-generation Titan text embedding model. It accepts up to 8,192 tokens per input and returns fixed 1,536-dimension vectors; the `dimensions` parameter is...

text->embeddingsembeddingstext
Input$0.105per 1M
Output$0.00per 1M
Context8.2K
Max output7,372
Details
Amazon

Amazon: Titan Text Embeddings V2

Amazon Titan Text Embeddings V2 is a text embedding model for retrieval, search, and clustering. It accepts up to 8,192 tokens per input and returns normalized vectors of 1,024 dimensions...

text->embeddingsembeddingstext
Input$0.021per 1M
Output$0.00per 1M
Context8.2K
Max output7,372
Details
OpenAI

OpenAI: GPT-6.1 Terra Pro

GPT-6.1 Terra Pro is the same underlying model as [GPT-6.1 Terra](TVP catalog), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

text+image+file->textfileimagetext
Input$1.05per 1M
Output$5.25per 1M
Context1.1M
Max output128,000
Details
OpenAI

OpenAI: GPT-6.1 Terra Pro (batch)

GPT-6.1 Terra Pro is the same underlying model as [GPT-6.1 Terra](TVP catalog), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

text+image+file->textfileimagetext
Input$0.525per 1M
Output$2.63per 1M
Context1.1M
Max output128,000
Details
OpenAI

OpenAI: GPT-6.1 Terra

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots...

text+image+file->textfileimagetext
Input$1.05per 1M
Output$5.25per 1M
Context1.1M
Max output128,000
Details
OpenAI

OpenAI: GPT-6.1 Terra (batch)

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots...

text+image+file->textfileimagetext
Input$0.525per 1M
Output$2.63per 1M
Context1.1M
Max output128,000
Details
Showing 12 of 643 models
Internal distribution

Use the marketplace with guide and comparison pages

These internal routes help buyers move from generic catalog browsing into comparison and buying-intent pages.

Popular guides

Buyer-intent traffic pages

Best AI models for coding, debugging, and code reviewCompare live coding LLMs by reasoning support, tool calling, context window size, and token pricing before you choose a model for engineering work.Cheapest AI models for production trafficFind the lowest-cost live AI models on TVP using current token pricing, context size, and capabilities so you can reduce serving cost without guessing.Best long-context AI models for large documents and repositoriesCompare live long-context AI models by context window, pricing, and capability support for document analysis, repo review, transcripts, and large prompts.Best reasoning models for complex analysis and decision supportCompare live reasoning-capable AI models by context, pricing, and capability support for research, planning, analysis, and multi-step tasks.
Comparison pages

Head-to-head decision routes

GPT-5.6 Luna vs Grok 4.20Compare GPT-5.6 Luna vs Grok 4.20 using live TVP pricing, context windows, tool support, and capability data before choosing a production route.GPT-5.6 Luna vs Claude Sonnet 5Compare GPT-5.6 Luna vs Claude Sonnet 5 with live pricing, context, and capability signals to choose a stronger fit for writing, analysis, or agent workflows.GPT-5.4 vs Claude Sonnet 5Compare GPT-5.4 vs Claude Sonnet 5 by live TVP pricing, context, and capability support for high-stakes analytical, writing, and agent workloads.Grok 4.20 vs Gemini 2.5 ProCompare Grok 4.20 vs Gemini 2.5 Pro using live TVP catalog data for context, pricing, and capabilities across research, multimodal, and agent workflows.
Provider matchups

Route strategy pages

OpenAI vs Anthropic AI modelsCompare live OpenAI and Anthropic model coverage, context windows, capabilities, and token pricing on TVP before choosing a production provider route.OpenAI vs Google AI modelsCompare live OpenAI and Google AI model coverage, context size, capabilities, and token pricing before routing production traffic between the two providers.Anthropic vs Google AI modelsCompare live Anthropic and Google model coverage, context windows, capabilities, and pricing on TVP for writing, research, multimodal, and agent workflows.
How TVP pricing works

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1

Provider pricing syncs live

TVP reads current provider catalog data and refreshes on demand.

2

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3

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Tiny token decimals are normalized into buyer-readable rates.

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Last synced: 10/28/2026, 10:31:17 PM

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