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685Models95ProvidersLivePricing
Showing 12 of 685 models
Select up to 3 live models to compare pricing, context, and endpoint coverage.
Moonshot AI

MoonshotAI: Kimi K3.1 Pro

Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window. It is built for long-horizon coding, 3D...

text+image+video->texttextimagevideo
Input$2.10per 1M
Output$10.50per 1M
Context1M
Max output943,718
Details
recursive

Recursive: Flint (free)

Flint is an open-weight mixture-of-experts model from Recursive, with about 2.5B active parameters out of 40B total, built by Recursive's autoresearch system Eureka Machine for coding agents. It is suited...

text->texttexttoolsstructured
Input$0.00per 1M
Output$0.00per 1M
Context262.1K
Max output235,929
Details
baseten

Baseten: Mammoth 1 (free)

Mammoth 1 is a 27B decision model from Base Labs, Baseten's research team, built on Qwen3.5-27B. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal...

text->decisionstextdecisions
Input$0.00per 1M
Output$0.00per 1M
Context16.4K
Max output14,745
Details
baseten

Baseten: Elephant 1 (free)

Elephant 1 is a 9B decision model from Base Labs, Baseten's research team, built on Qwen3.5-9B. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal...

text->decisionstextdecisions
Input$0.00per 1M
Output$0.00per 1M
Context16.4K
Max output14,745
Details
nace-ai

Nace.AI: Drex Max

Drex Max is the largest decision model from Nace.AI, the successor to [Drex v2.0](TVP catalog). Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal score), it...

text->decisionstextdecisions
Input$0.063per 1M
Output$0.00per 1M
Context262.1K
Max output235,929
Details
NVIDIA

NVIDIA: Nemotron 3.5 Embed 1B (free)

Nemotron 3.5 Embed 1B is a multimodal embedding model from NVIDIA for multilingual retrieval over text and document page images (tables, charts, infographics). Queries are text and documents can be...

text+image->embeddingsembeddingstextimage
Input$0.00per 1M
Output$0.00per 1M
Context32.8K
Max output29,491
Details
NVIDIA

NVIDIA: Nemotron 3.5 Embed 8B (free)

Nemotron 3.5 Embed 8B is a multimodal embedding model from NVIDIA for multilingual retrieval over text and document page images (tables, charts, infographics). Queries are text and documents can be...

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

Mistral: Voxtral TTS 3

Voxtral TTS 3 is Mistral's text-to-speech model. It converts text into natural-sounding speech, offers a library of preset voices, supports zero-shot voice cloning, and accepts emotion and pace tags in...

text->speechtextspeech
Input$13.65per 1M
Output$0.00per 1M
Context4.1K
Max output3,276
Details
Mistral AI

Mistral: Voxtral Small Transcribe 3

Voxtral Small Transcribe 3 is Mistral's flagship speech-to-text model. It takes audio input and returns a transcript with timestamps and speaker diarization, and supports context biasing for domain-specific vocabulary. Suited...

audio->transcriptionaudiotranscription
Input$70.00per 1M
Output$0.00per 1M
Context65.5K
Max output52,428
Details
Mistral AI

Mistral: Voxtral Mini Transcribe 3

Voxtral Mini Transcribe 3 is Mistral's compact speech-to-text model. It takes audio input and returns a transcript with timestamps and speaker diarization. It also supports context biasing for domain terms....

audio->transcriptionaudiotranscription
Input$61.25per 1M
Output$0.00per 1M
Context65.5K
Max output52,428
Details
MiniMax

MiniMax: MiniMax M3.1 Flash

MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex,...

text+image+video->texttextimagevideo
Input$0.1575per 1M
Output$0.63per 1M
Context1M
Max output524,288
Details
Showing 12 of 685 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

Transparent pricing buyers can audit

Simple pricing rules, live source data, and exact decimals remain visible for review.

1

Provider pricing syncs live

TVP reads current provider catalog data and refreshes on demand.

2

TVP price is shown for planning

Buyers can compare options using one consistent TVP pricing view.

3

Prices are shown per 1M tokens

Tiny token decimals are normalized into buyer-readable rates.

4

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Detailed pricing fields remain visible for audit and billing checks.

Last synced: 10/25/2026, 10:49:01 AM

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