MODEL RADAR · OPENROUTER

Confronta i modelli AI con gli stessi criteri.

Tutti i modelli attualmente elencati da OpenRouter, con dati coerenti su modalità, contesto, prezzi, configurazione e provider.

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modelli
631
provider
86
ultimo aggiornamento
29 set 2026
631 modelli
heygen logoheygen

HeyGen: Avatar IV

HeyGen: Avatar IV is an image-to-video model that animates a single photo into an expressive, lip-synced talking-head video. Rather than only matching mouth shapes to words, it interprets the vocal...

Contesto
Non indicato
Input
text · image · audio
Output
video
Output video: $0.05 al secondo
Vedi i dettagli del modello →
meta logometa

Meta: Muse Spark 1.2 Contributor

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...

Contesto
1.0M
Input
text · image · video · file
Output
text
Input: $0.1Output: $0.2per milione di token
Vedi i dettagli del modello →
deepseek logodeepseek

DeepSeek: DeepSeek V4 Flash Vision Exp

DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of DeepSeek V4 Flash 0731 from DeepSeek, adding image understanding while matching the base model on text capabilities including agents,...

Contesto
1.0M
Input
text · image
Output
text
Input: $0.2156Output: $0.6468per milione di token
Vedi i dettagli del modello →
tencent logotencent

Tencent: Hy-MT2-1.8B

Hy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided...

Contesto
8K
Input
text
Output
text
Input: $0.044Output: $0.177per milione di token
Vedi i dettagli del modello →
tencent logotencent

Tencent: Hy-MT2-30B-A3B

Hy-MT2-30B-A3B is Tencent's flagship translation model in the Hy-MT2 family. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and...

Contesto
8K
Input
text
Output
text
Input: $0.074Output: $0.295per milione di token
Vedi i dettagli del modello →
black-forest-labs logoblack-forest-labs

Black Forest Labs: FLUX Video Upscale

FLUX Video Upscale is a video upscaling model from Black Forest Labs. It enlarges a single source video by 1.5× to 3× while preserving its duration, with an optional prompt...

Contesto
Non indicato
Input
text · video
Output
video
Video Upscale Output: $0.075 per megapixel-secondo
Vedi i dettagli del modello →
~z-ai logo~z-ai

Z.ai: GLM Latest

This model always redirects to the latest GLM model from Z.ai.

Contesto
1.3M
Input
text
Output
text
Input: $0.1949Output: $4.4per milione di token
Vedi i dettagli del modello →
tencent logotencent

Tencent: Hy-MT2-7B

Hy-MT2-7B is a 7B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided translation.

Contesto
8K
Input
text
Output
text
Input: $0.074Output: $0.295per milione di token
Vedi i dettagli del modello →
z-ai logoz-ai

Z.ai: GLM 5.3

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...

Contesto
1.3M
Input
text
Output
text
Input: $1.4Output: $4.4per milione di token
Vedi i dettagli del modello →
z-ai logoz-ai

Z.ai: GLM 5.3 (batch)

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...

Contesto
1.0M
Input
text
Output
text
Input: $0.45Output: $2per milione di token
Vedi i dettagli del modello →
liquid logoliquid

LiquidAI: LFM2.5-Embedding-350M (free)

LFM2.5-Embedding-350M is a text embedding model from Liquid AI. It produces 1,024-dimensional embeddings for retrieval and semantic search. Successful OpenRouter requests and embeddings may be retained and used to train...

Contesto
1K
Input
text
Output
embeddings
Input: Gratuitoper milione di token
Vedi i dettagli del modello →
qwen logoqwen

Qwen: Qwen3.8 27B

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...

Contesto
1M
Input
text · image · video
Output
text
Input: $0.0507Output: $4.4per milione di token
Vedi i dettagli del modello →
qwen logoqwen

Qwen: Qwen3.8 27B (free)

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...

Contesto
262K
Input
text · image · video
Output
text
Input: GratuitoOutput: Gratuitoper milione di token
Vedi i dettagli del modello →
dots-studio logodots-studio

Dots Studio: Dots3-Note Preview (free)

Dots3-Note Preview is an open-weight mixture-of-experts model from Dots Studio, with 16B active parameters out of 280B total. It is the lightest model in the Dots 3 family and is...

Contesto
512K
Input
text · image
Output
text
Input: GratuitoOutput: Gratuitoper milione di token
Vedi i dettagli del modello →
nvidia logonvidia

NVIDIA: Nemotron 3.5 ASR Streaming Multilingual 0.6B

Nemotron 3.5 ASR Streaming Multilingual 0.6B is a speech recognition model from NVIDIA. Its prompt-conditioned, cache-aware FastConformer-RNNT design targets low-latency transcription across more than 40 languages for real-time captioning, voice...

Contesto
Non indicato
Input
audio
Output
transcription
Durata audio: $0.000003 al secondo
Vedi i dettagli del modello →
mistralai logomistralai

Mistral: Voxtral Small 24B 2507 STT

Voxtral Small 24B 2507 STT is a speech transcription model from Mistral AI. It is suited for transcription, translation, and audio understanding workloads that benefit from its larger model capacity.

Contesto
Non indicato
Input
audio
Output
transcription
Durata audio: $0.00005 al secondo
Vedi i dettagli del modello →
mistralai logomistralai

Mistral: Voxtral Mini 3B 2507

Voxtral Mini 3B 2507 is a speech and audio understanding model from Mistral AI. It is suited for transcription, translation, and compact audio processing workloads.

Contesto
Non indicato
Input
audio
Output
transcription
Durata audio: $0.000017 al secondo
Vedi i dettagli del modello →
bytedance-seed logobytedance-seed

ByteDance Seed: Seedream 5.0 Lite

Seedream 5.0 Lite is an image generation model from ByteDance Seed. It is suited for professional visual creation that benefits from web-connected retrieval, complex-prompt comprehension, visual references, and broad knowledge...

Contesto
Non indicato
Input
text · image
Output
image
Input immagine: Gratuito per immagineOutput immagine: $0.035 per immagine
Vedi i dettagli del modello →
google logogoogle

Google: Gemini 3.7 Flash

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

Contesto
1.0M
Input
text · image · video · file · audio
Output
text
Input: $0.75Output: $3.75per milione di token
Vedi i dettagli del modello →
google logogoogle

Google: Gemini 3.7 Flash (batch)

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

Contesto
1.0M
Input
text · image · video · file · audio
Output
text
Input: $0.375Output: $1.875per milione di token
Vedi i dettagli del modello →
voyageai logovoyageai

VoyageAI by MongoDB: voyage-code-4

voyage-code-4 is a code embedding model from Voyage AI, a MongoDB company. It is designed for coding agents and code retrieval, with Matryoshka embeddings at 2048, 1024, 512, and 256...

Contesto
32K
Input
text
Output
embeddings
Input: $0.12per milione di token
Vedi i dettagli del modello →
qwen logoqwen

Qwen3 Reranker 8B

Qwen3 Reranker 8B is a text reranking model from Alibaba Cloud built on the Qwen3 architecture. It evaluates query-document pairs to produce relevance scores for use in retrieval and RAG...

Contesto
41K
Input
text
Output
rerank
Input: $0.2 per milione di token di input
Vedi i dettagli del modello →
qwen logoqwen

Qwen: Qwen3 ASR 1.7B

Qwen3 ASR 1.7B is an automatic speech recognition model from Qwen. It supports multilingual language identification and transcription across 30 languages and 22 Chinese dialects, with streaming and offline inference...

Contesto
Non indicato
Input
audio
Output
transcription
Durata audio: $0.000008 al secondo
Vedi i dettagli del modello →
qwen logoqwen

Qwen: Qwen3 ASR 0.6B

Qwen3 ASR 0.6B is a compact automatic speech recognition model from Qwen. It supports multilingual language identification and transcription across 30 languages and 22 Chinese dialects, with streaming and offline...

Contesto
Non indicato
Input
audio
Output
transcription
Durata audio: $0.000003 al secondo
Vedi i dettagli del modello →