Models
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Use Respan with your favorite frameworks and tools.
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-experts model...
by DeepSeekOct 17, 20261M contextfrom $0.09/M inputfrom $0.55/M output13.2M tokens
Beam 1.0 is Reflection's open-weight reasoning model for coding and long-horizon agentic workflows. It uses a sparse mixture-of-experts architecture with 501B total and 23B active parameters per token, and a...
by ModelOct 16, 20261M contextfrom $0.25/M inputfrom $1.00/M output
Glimpse is a multimodal visual reasoning model from Elorian, built for visual understanding and complex visual reasoning in the physical world. It reasons directly over images and video rather than...
by ModelOct 16, 2026262K context$0.60/M input$3.00/M output
This model always redirects to the latest model in the Decider Flash family.
by PerplexityOct 16, 2026262K context$0.01/M input$0.00/M output
Decider Flash V1.2 is a 4B-parameter decision model from Perplexity, a smaller, lower-cost sibling of [Decider V1.2](/perplexity/pplx-decider-v1.2) with the same API contract. Instead of generating text, it reads content passed...
by PerplexityOct 16, 2026262K context$0.01/M input$0.00/M output
Decider V1.2 is a new 27B checkpoint of Perplexity's decision model, succeeding [Decider V1.1 27B](/perplexity/pplx-decider-v1.1-27b) with the same API contract. Instead of generating text, it reads content passed as `state`...
by PerplexityOct 16, 2026262K context$0.02/M input$0.00/M output
d1-ultra is Liquid AI's largest decision model, served as a System One endpoint. Send a state of text and images along with typed questions, and it returns a choice, a...
by Liquid AIOct 15, 202633K context$0.04/M input$0.00/M output123 tokens
Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across the repos developers...
by MetaOct 15, 20261M contextfrom $1.25/M inputfrom $4.25/M output28 tokens
NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...
by NVIDIAOct 15, 20261M contextfrom $0.10/M inputfrom $0.40/M output
Span-02 is a decision model from Respan. It answers typed questions (choice, yes/no, score, number) about any JSON or text state, with up to 4 images, and returns a full probability distribution for each answer.
by RespanOct 15, 2026131K contextfrom $0.01/M inputfrom $0.00/M output2.8B tokens
Jev 1.14 is the latest version of Jev, TypeSafe's structured decision model and the first of its System One models. System One models make fast, structured decisions for software, returning...
by TypeSafeOct 14, 2026262K context$0.04/M input$0.00/M output441 tokens
This model always redirects to the latest model in the Decider family.
by PerplexityOct 14, 2026262K context$0.02/M input$0.00/M output173 tokens
Classify-1 is a structured decision model from ScaleDown, served through OpenRouter's Decisions API. It scores text or a document against caller-defined choice, yes/no, and ordered-scale questions and returns calibrated probabilities...
by ScaleDownOct 13, 20261M context$0.04/M input$0.00/M output331 tokens
Extract is a description-driven entity extraction model from ScaleDown. Instead of a fixed set of entity types, callers describe the fields they want in plain English through `provider.options.scaledown.entities`, and the model returns each matching span with a confidence score, character offsets, and surrounding context. It is suited for pulling structured values out of contracts, invoices, emails, and transcripts, and includes built-in OCR so scanned images and PDFs work without a separate step. Learn more in ScaleDown's docs: https://docs.scaledown.ai/api-reference/extract-overview
by ScaleDownOct 13, 20261M context$0.04/M input$0.00/M output280 tokens
Google flagship reasoning model for software engineering, agents, mathematics and science. Shared 1048576-token input, thinking and output window.
by GoogleOct 13, 20261M contextfrom $2.00/M inputfrom $10.00/M output9.9M tokens
LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools. Liquid recommends pairing it with retrieval or web search for knowledge-heavy tasks.
by Liquid AIOct 13, 2026128K context$0.05/M input$0.70/M output873 tokens
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.
by UnbiasedOct 13, 2026262K context$2.50/M input$7.50/M output343 tokens
This model always redirects to the latest model in the Pareto family.
by UnbiasedOct 13, 2026262K context$2.50/M input$7.50/M output343 tokens
Summarize is an abstractive summarization model from ScaleDown. It condenses long text and documents into a fluent, faithful rewrite rather than lifting sentences from the source, and is suited for document review, transcript digests, and RAG pre-processing where retrieved content must be shortened before reaching another model. Format, focus, language, and length are steered through the system prompt, while sampling is fixed to a configuration tuned for faithful output. Learn more in ScaleDown's docs: https://docs.scaledown.ai/api-reference/summarize-overview
by ScaleDownOct 13, 20261M context$0.04/M input$0.00/M output821 tokens
Drex v2.0 is a 35B mixture-of-experts decision model (3B active) from Nace.AI, the larger successor to [Drex v1.5](https://openrouter.ai/nace-ai/drex-v1.5). Given a state (text or JSON) and typed questions (yes/no, multiple choice,...
by Nace.AIOct 12, 2026131K context$0.06/M input$0.00/M output168 tokens
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