Pareto 26.9

{"about":"### An earlier Pareto release\n\nPareto 26.9 is a distinct version of Unbiased’s composite model. In the Pareto family, a request is processed with the participation of several frontier and open models, and their results are combined into one response. The user works with a single Pareto model rather than selecting each component manually. The developer states that the set of underlying models can change.\n\nVersion 26.9 remained available after the stable 26.10 release. Its exact identifier, `unbiased/pareto-26.9`, lets an application explicitly select the previous release. This is useful for existing workflows and comparisons that need to name the version being used instead of moving automatically to the next one. Pinning the name does not make the internal model composition immutable.\n\n### Working with supplied material\n\nIn Ailoot API, this version accepts text and produces a text response. Its context window is 262,144 tokens, including instructions, history, source material and the response; the model’s metadata lists output of up to 131,072 tokens. Release 26.10 has a larger context window, so when choosing 26.9, select genuinely relevant documents and passages in advance.\n\nA workflow can center on comparing several texts. Provide requirements, proposed solutions and selection criteria, then request a comparison table with reasoning for each criterion. For a long document, define the purpose of the analysis: identifying contradictions, preparing a focused summary, collecting questions for the author or drafting a revised structure. Naming the source passages helps link conclusions to data within the request.\n\n### Technical conversations\n\nWhen analyzing a programming task, include the relevant code and the execution result already obtained in your environment. Ask the model to explain the observation, propose a change and list the signs by which its result can be verified. In the next message, provide the verification outcome. This ties the text conversation to a real task without assuming that the model itself can access files or the runtime environment.\n\nWhen preparing new text, specify the audience, outline and desired level of detail. The response could be a document draft, a summary of source data, a differences list or a sequence of next actions; your request determines the specific format.\n\nPareto 26.9 is available through Messages, Responses, Chat Completions and text-based generateContent. These formats describe client integration options. In this connection, material is supplied as text; choosing a request format does not add images, code execution or access to external systems.","alias_of":null,"aliases":[],"author":"Unbiased","canonical_model":"unbiased/pareto-26.9","ctx":null,"formats":["chat","gemini","messages","responses"],"id":"unbiased/pareto-26.9","input":["text"],"kind":"text","max_out":null,"methods":[{"cache_read":0.5,"cache_write":null,"cache_write_1h":null,"cache_write_5m":null,"conditional_meter":null,"ctx":null,"family":"anthropic","fast_multiplier":1,"flex_multiplier":1,"fmt":"messages","http":"POST","img_in":null,"img_out":null,"in":5.0,"input":["text"],"label":"Anthropic Messages","max_out":null,"max_tool_calls":null,"out":15.0,"output":["text"],"path":"/v1/messages","request_model_id":"unbiased/pareto-26.9","route_label":"Ultra","status_reads":[],"tiers":[],"tool_prices":null,"unit":"token","units":[]},{"cache_read":0.5,"cache_write":null,"cache_write_1h":null,"cache_write_5m":null,"conditional_meter":null,"ctx":null,"family":"openai","fast_multiplier":1,"flex_multiplier":1,"fmt":"responses","http":"POST","img_in":null,"img_out":null,"in":5.0,"input":["text"],"label":"OpenAI Responses","max_out":null,"max_tool_calls":null,"out":15.0,"output":["text"],"path":"/v1/responses","request_model_id":"unbiased/pareto-26.9","route_label":"Ultra","status_reads":[],"tiers":[],"tool_prices":null,"unit":"token","units":[]},{"cache_read":0.5,"cache_write":null,"cache_write_1h":null,"cache_write_5m":null,"conditional_meter":null,"ctx":null,"family":"openai","fast_multiplier":1,"flex_multiplier":1,"fmt":"chat","http":"POST","img_in":null,"img_out":null,"in":5.0,"input":["text"],"label":"OpenAI Chat","max_out":null,"max_tool_calls":null,"out":15.0,"output":["text"],"path":"/v1/chat/completions","request_model_id":"unbiased/pareto-26.9","route_label":"Ultra","status_reads":[],"tiers":[],"tool_prices":null,"unit":"token","units":[]},{"cache_read":0.5,"cache_write":null,"cache_write_1h":null,"cache_write_5m":null,"conditional_meter":null,"ctx":null,"family":"gemini","fast_multiplier":1,"flex_multiplier":1,"fmt":"gemini","http":"POST","img_in":null,"img_out":null,"in":5.0,"input":["text"],"label":"Gemini generateContent","max_out":null,"max_tool_calls":null,"out":15.0,"output":["text"],"path":"/v1beta/models/unbiased/pareto-26.9:generateContent","request_model_id":"unbiased/pareto-26.9","route_label":"Ultra","status_reads":[],"tiers":[],"tool_prices":null,"unit":"token","units":[]}],"model_aliases":[{"canonical_model_id":"unbiased/pareto-26.9","request_model_id":"unbiased/pareto-26.9","route_label":"Ultra"}],"name":"Pareto 26.9","price":{"in":5.0,"in_label":null,"out":15.0,"out_label":null,"sort_in":5.0,"sort_out":15.0,"varies":false},"public_id":"unbiased/pareto-26.9","short":"The earlier version of Unbiased’s composite text model, with a 262,144-token context for explicitly pinned workflows."}