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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.

read1 min views1 publishedSep 18, 2026
Pareto 26.9 Model Card
Image: source

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.

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