Pareto 26.9 Model Card

Unbiased published the model card for Pareto 26.9, a text-and-image model priced at $2.50 per million input tokens, $0.25 per million cached input tokens, and $7.50 per million output tokens. Pareto 26.9 scored 74 on DeepSWE, 51 on Terminal-Bench 4.0, 78 on MMMU-Pro, 49 on HLE without tools, and 88 on ArXivMath, against comparison models Fable 5.1, GPT 6 Astra, and DeepSeek 4.1 Flash. Unbiased said measured task costs and a composite score have not been published for this release, so the scores do not establish cost per completed task.

Published benchmark scores Published scores. Tinted cells mark the best score on each test, including ties. | Benchmark | Pareto 26.9 | Fable 5.1 | GPT 6 Astra | DeepSeek 4.1 Flash | |---|---|---|---|---| | DeepSWE | 74 | 67 | 74 | 74 | | Terminal-Bench 4.0 | 51 | 56 | 58 | 31 | | MMMU-Pro | 78 | 81 | 87 | 77 | | HLE no tools | 49 | 55 | 54 | 39 | | ArXivMath | 88 | 72 | 91 | 28 | Measured task costs and a composite score have not been published for this release. Scores do not establish cost per completed task. Details and pricing Pareto accepts text and image inputs. Use pareto as the model identifier. The published comparison set is Fable 5.1, GPT 6 Astra, and DeepSeek 4.1 Flash. Per million tokens: $2.50 input, $0.25 cached input, and $7.50 output. Cached input is billed at 0.1 times the input rate. Actual spend depends on token usage and cache hits. Get started with Unbiased https://platform.unbiased.ai/buy?utm source=unbiased.ai&utm medium=site&utm campaign=model card final cta