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480Models74ProvidersLivePricing
Showing 12 of 480 models
Select up to 3 live models to compare pricing, context, and endpoint coverage.
DeepSeek

DeepSeek: DeepSeek V4 Flash 0731

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows.

text->texttexttoolsstructured
Input$0.147per 1M
Output$0.294per 1M
Context1M
Max output384,000
Details
MiniMax

MiniMax: H3

MiniMax H3 is a lightweight, open-weights video generation model from MiniMax. It is designed for precise multimodal editing and controlled content generation, including instruction-guided edits, text and brand rendering, and...

text+image+audio+video->videotextimagevideo
Input$0.00per 1M
Output$0.00per 1M
Context0
Max outputn/a
Details
fish-audio

Fish Audio: Transcribe 1

Transcribe 1 is a speech-to-text model from Fish Audio. It is suited for audio transcription with automatic language detection and can return timestamped word-level segments when alignment details are requested.

audio->transcriptionaudiotranscription
Input$105.00per 1M
Output$0.00per 1M
Context0
Max outputn/a
Details
fish-audio

Fish Audio: S1

S1 is a multilingual text-to-speech model from Fish Audio. It is suited for voice applications that need broad emotional expression, using parenthetical controls to guide speaking style across its supported...

text->speechtextspeech
Input$15.75per 1M
Output$0.00per 1M
Context0
Max outputn/a
Details
fish-audio

Fish Audio: S2 Pro

S2 Pro is a multilingual text-to-speech model from Fish Audio. It is suited for expressive narration and multi-speaker dialogue, with natural-language controls for speaking style and emotion.

text->speechtextspeech
Input$15.75per 1M
Output$0.00per 1M
Context0
Max outputn/a
Details
fish-audio

Fish Audio: S2.1 Pro Free (free)

S2.1 Pro Free is the no-cost variant of Fish Audio S2.1 Pro, intended for testing, prototyping, and low-volume applications. It provides the same synthesis capabilities without production latency or availability...

text->speechtextspeech
Input$0.00per 1M
Output$0.00per 1M
Context0
Max outputn/a
Details
fish-audio

Fish Audio: S2.1 Pro

S2.1 Pro is a production-oriented text-to-speech model from Fish Audio. It is suited for multilingual voice applications, expressive narration, and dialogue synthesis, with open-ended natural-language controls for speaking style and...

text->speechtextspeech
Input$15.75per 1M
Output$0.00per 1M
Context0
Max outputn/a
Details
runway

Runway: Aleph 2.0

Runway Aleph 2.0 is an in-context video editing model from Runway. It applies text instructions and keyframe-guided edits across existing footage while preserving details that are not meant to change....

text+image+video->videotextimagevideo
Input$0.00per 1M
Output$0.00per 1M
Context0
Max outputn/a
Details
runway

Runway: Gen-4.5

Runway Gen-4.5 is a video generation model from Runway for text-to-video and image-to-video workflows. It is designed for cinematic scene creation with strong motion quality, visual fidelity, and prompt adherence....

text+image->videotextimagevideo
Input$0.00per 1M
Output$0.00per 1M
Context0
Max outputn/a
Details
Qwen

Qwen: Qwen3.7 Flash

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world...

text+image+video->texttextimagevideo
Input$0.0315per 1M
Output$0.1365per 1M
Context1M
Max output65,536
Details
voyageai

VoyageAI by MongoDB: rerank-2.5-lite

rerank-2.5-lite is a reranker optimized for both latency and quality, delivering a 7.16% improvement in retrieval accuracy over Cohere Rerank v3.5 across 93 datasets. It also outperformed Cohere Rerank v3.5...

text->reranktextrerank
Input$0.00per 1M
Output$0.00per 1M
Context32K
Max outputn/a
Details
voyageai

VoyageAI by MongoDB: rerank-2.5

rerank-2.5 is a cutting-edge reranker optimized for quality, delivering a 7.94% improvement in retrieval accuracy over Cohere Rerank v3.5 across 93 datasets. It also outperformed Cohere Rerank v3.5 by 12.70%...

text->reranktextrerank
Input$0.00per 1M
Output$0.00per 1M
Context32K
Max outputn/a
Details
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Last synced: 7/31/2026, 9:48:27 AM