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.
- AMPIEZZA CATALOGO
- TUTTI PUBBLICI
- modelli
- 631
- provider
- 86
- ultimo aggiornamento
- 29 set 2026
openaiOpenAI: GPT-6 Luna Pro
GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
- Contesto
- 1.1M
- Input
- file · image · text
- Output
- text
openaiOpenAI: GPT-6 Luna Pro (batch)
GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
- Contesto
- 1.1M
- Input
- file · image · text
- Output
- text
openaiOpenAI: GPT-6 Luna
GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...
- Contesto
- 1.1M
- Input
- file · image · text
- Output
- text
openaiOpenAI: GPT-6 Luna (batch)
GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...
- Contesto
- 1.1M
- Input
- file · image · text
- Output
- text
openaiOpenAI: GPT-6 Sol Pro
GPT-6 Sol Pro is the same underlying model as GPT-6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
- Contesto
- 1.1M
- Input
- file · image · text
- Output
- text
openaiOpenAI: GPT-6 Sol Pro (batch)
GPT-6 Sol Pro is the same underlying model as GPT-6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
- Contesto
- 1.1M
- Input
- file · image · text
- Output
- text
openaiOpenAI: GPT-6 Sol
GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional...
- Contesto
- 1.1M
- Input
- file · image · text
- Output
- text
openaiOpenAI: GPT-6 Sol (batch)
GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional...
- Contesto
- 1.1M
- Input
- file · image · text
- Output
- text
inclusionaiinclusionAI: Ming Image 0.1 Design
Ming Image 0.1 Design is a text-to-image model from inclusionAI aimed at graphic-design output, with an emphasis on legible text rendering inside the generated image. It generates from a prompt...
- Contesto
- Non indicato
- Input
- text
- Output
- image
anthropicAnthropic: Claude Opus 5.5
Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code...
- Contesto
- 1M
- Input
- text · image · file
- Output
- text
anthropicAnthropic: Claude Opus 5.5 (batch)
Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code...
- Contesto
- 1M
- Input
- text · image · file
- Output
- text
assemblyaiAssemblyAI: Universal-3.5 Pro
Universal-3.5 Pro is AssemblyAI's speech-to-text model served through its Sync API, returning a complete transcript with word-level timestamps in a single synchronous response for audio clips up to 120 seconds....
- Contesto
- Non indicato
- Input
- audio
- Output
- transcription
xiaomiXiaomi: MiMo-V2.6-Pro-UltraSpeed
MiMo-V2.6-Pro-UltraSpeed is the fast speed edition of Xiaomi's flagship foundation model, MiMo-V2.6-Pro. Built from the same 1T MiMo-V2.6-Pro checkpoint, it matches the original model in quality while delivering roughly 10x...
- Contesto
- 1.0M
- Input
- text · image · video · audio
- Output
- text
xiaomiXiaomi: MiMo-V2.6-Flash
MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for...
- Contesto
- 1.0M
- Input
- text · image · video · audio
- Output
- text
xiaomiXiaomi: MiMo-V2.6-Pro
MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding...
- Contesto
- 1.1M
- Input
- text · image · video · audio
- Output
- text
x-aiSpaceXAI: Grok 4.7
Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering tasks, verifying its own work, and...
- Contesto
- 500K
- Input
- text · image · file
- Output
- text
qwenQwen: Qwen3.8 Omni Flash
Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...
- Contesto
- 1M
- Input
- text · image · audio · video
- Output
- text
prism-mlPrismML: Ternary Bonsai 2 27B
Bonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B. It supports coding, mathematics, tool calling, and image understanding with a 262K-token context window. Ternary compression shrinks...
- Contesto
- 262K
- Input
- text · image
- Output
- text
z-aiZ.ai: GLM 5.3 FlashX
GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and linear attention architecture...
- Contesto
- 1.0M
- Input
- text · image · video
- Output
- text
~typesafeTypeSafe: Jev Latest
This model always redirects to the latest model in the Jev family.
- Contesto
- 32K
- Input
- text
- Output
- decisions
typesafeTypeSafe: Jev 1.13
Jev is a structured decision model from TypeSafe, and the first of its System One models. System One models make fast, structured decisions for software, returning a typed choice rather...
- Contesto
- 32K
- Input
- text
- Output
- decisions
unbiasedPareto
Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.
- Contesto
- 262K
- Input
- text · image
- Output
- text
~deepseekDeepSeek: DeepSeek Pro Latest
This model always redirects to the latest model in the DeepSeek Pro family.
- Contesto
- 1.0M
- Input
- text
- Output
- text
~deepseekDeepSeek: DeepSeek Flash Latest
This model always redirects to the latest model in the DeepSeek Flash family.
- Contesto
- 1.0M
- Input
- text · image
- Output
- text