AIモデルレーダー
AIモデルを 同じ基準で比較
OpenRouterで現在公開されているすべてのモデルを検索し、モダリティ、コンテキスト、料金、設定、プロバイダー情報を比較できます。
- カタログ範囲
- 公開モデルすべて
- モデル
- 691
- プロバイダー
- 98
- 最終同期
- 2026/10/30
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,...
- コンテキスト
- 1M
- 入力
- text · image · audio · video
- 出力
- 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...
- コンテキスト
- 262K
- 入力
- text · image
- 出力
- 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...
- コンテキスト
- 1.0M
- 入力
- text · image · video
- 出力
- text
~typesafeTypeSafe: Jev Latest
This model always redirects to the latest model in the Jev family.
- コンテキスト
- 262K
- 入力
- text · image
- 出力
- 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...
- コンテキスト
- 262K
- 入力
- text · image
- 出力
- decisions
~deepseekDeepSeek: DeepSeek Pro Latest
This model always redirects to the latest model in the DeepSeek Pro family.
- コンテキスト
- 1.0M
- 入力
- text
- 出力
- text
~deepseekDeepSeek: DeepSeek Flash Latest
This model always redirects to the latest model in the DeepSeek Flash family.
- コンテキスト
- 1.0M
- 入力
- text · image
- 出力
- text
inference-netInference.net: Schematron V2 Turbo
Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in responseformat rather...
- コンテキスト
- 128K
- 入力
- text
- 出力
- text
inference-netInference.net: Schematron V2 Small
Schematron V2 Small is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes extraction quality for complex schemas and long pages. Extraction instructions must be supplied through a JSON schema...
- コンテキスト
- 128K
- 入力
- text
- 出力
- text
metaMeta: Muse Voice Transcribe 1.0
Muse Voice Transcribe 1.0 is a synchronous speech-to-text model from Meta. It is suited for push-to-talk, endpointing, and speaker-aware transcription, with keyword biasing for domain terms and language biasing through...
- コンテキスト
- 情報なし
- 入力
- audio
- 出力
- transcription
~openaiOpenAI: GPT Astra Latest
This model always redirects to the latest model in the GPT Astra family.
- コンテキスト
- 1.1M
- 入力
- file · image · text
- 出力
- text
~openaiOpenAI: GPT Sol Latest
This model always redirects to the latest model in the GPT Sol family.
- コンテキスト
- 1.1M
- 入力
- file · image · text
- 出力
- text
~openaiOpenAI: GPT Terra Latest
This model always redirects to the latest model in the GPT Terra family.
- コンテキスト
- 1.1M
- 入力
- file · image · text
- 出力
- text
~openaiOpenAI: GPT Luna Latest
This model always redirects to the latest model in the GPT Luna family.
- コンテキスト
- 1.1M
- 入力
- file · image · text
- 出力
- text
sakanaSakana: Fugu Ultra v2
Fugu Ultra v2 is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to...
- コンテキスト
- 1M
- 入力
- text · image · file
- 出力
- text
sakanaSakana: Fugu Max
Fugu Max is the cost-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route...
- コンテキスト
- 1M
- 入力
- text · image · file
- 出力
- text
black-forest-labsBlack Forest Labs: FLUX Video Edit
FLUX Video Edit [fast] takes a source video and an edit prompt and returns a precisely edited video. Add, remove, or replace objects and characters, rebuild the setting, edit on-screen...
- コンテキスト
- 情報なし
- 入力
- text · video
- 出力
- video
inclusionaiinclusionAI: Ling 3.0 Flash VL
Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual...
- コンテキスト
- 131K
- 入力
- text · image · video
- 出力
- text
deepseekDeepSeek: DeepSeek V4.1 Flash
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...
- コンテキスト
- 1.0M
- 入力
- text · image
- 出力
- text
deepseekDeepSeek: DeepSeek V4.1 Flash (batch)
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...
- コンテキスト
- 1.0M
- 入力
- text · image
- 出力
- text
openaiOpenAI: GPT Image 2.5 Sunburst
GPT Image 2.5 Sunburst is an image generation and editing model from OpenAI, positioned as the precision-oriented tier of the GPT Image 2.5 series. It is suited to detailed creative...
- コンテキスト
- 400K
- 入力
- text · image
- 出力
- image
openaiOpenAI: GPT Image 2.5 Flare
GPT Image 2.5 Flare is an image generation and editing model from OpenAI, positioned as the speed-oriented tier of the GPT Image 2.5 series. It is suited to high-volume everyday...
- コンテキスト
- 400K
- 入力
- text · image
- 出力
- image
inceptionInception: Mercury 2.5
Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple tokens in parallel, achieving...
- コンテキスト
- 260K
- 入力
- text
- 出力
- text
nex-agiNex AGI: Nex-N2.5-Mini
Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...
- コンテキスト
- 262K
- 入力
- text · image
- 出力
- text