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Pareto 26.10

Pareto 26.10 model card

Pareto is our blended AI model, available through the Unbiased AI platform. Send one request and receive one answer. Release notes: Pareto 26.10 is out of preview.

Benchmarks

DeepSWE

Cost per task, USD · log scale

DeepSWE v1.1 · 3 reported results · Score (%) and USD mean per task
Pareto 26.10Oct 1, 202669.9%$0.24
Fable 5Aug 15, 202670.0%$13.50
Pareto 26.9Sep 20, 202670.0%$0.29

Bars use one linear cost scale per benchmark.

Evaluation details
  • Preliminary comparison. Pareto 26.10 results are from October 1, 2026 runs and may change before final publication. Other results are transcribed from a September 21, 2026 comparison and are not independently validated. Denominators and cost methodology require confirmation.
  • Run dates: October 1, 2026 for Pareto 26.10; September 20, 2026 for Pareto 26.9; August 15, 2026 for Fable 5. The Pareto 26.9 and Fable 5 DeepSWE results use a 30-task slice, not the full DeepSWE v1.1 set. Pareto 26.9’s HLE result was reported as Humanity’s Last Exam, without a text-only qualifier.
  • Each point is one reported result; no performance curves are interpolated. Costs are reported mean USD per task, not token prices. Missing results stay missing and never plot as zero.
  • Axes fit the results shown: cost on a log scale, score over at least 30 points. The orange step line shows the best score reached at or below each cost.
  • Grey points are other labs’ published results as of October 1, 2026, from the DeepSWE and Terminal-Bench leaderboards, Artificial Analysis, Epoch AI, OpenAI’s GPT-6 Sol and Luna and GPT-6.1 Sol announcements, and Anthropic’s Claude Sonnet 5.5 announcement and system card. They use their own task sets and harnesses, so they are not directly comparable with our runs. Results without a published cost sit on the rail beside the chart, at their score.
  • Pareto 26.9 is the previous release, shown for comparison. Fable 5 is a historical comparator, not a model in the published scores. We have not run GPT-6.1 Sol, GPT-6 Luna or Claude Sonnet 5.5 ourselves. Their points are published results from their labs and independent evaluators. Router results from these runs are not shown.
  • Published competitor results come from separate evaluators, not our preliminary runs. Each competitor score is paired only with its source’s task cost, never Pareto’s task cost.

Details and pricing

Pareto accepts text and image inputs. Use pareto as the model identifier. The homepage score table compares Pareto with Fable 5.1, GPT 6 Astra, DeepSeek 4.1 Flash, GPT-6.1 Sol, GPT-6 Luna, and Claude Sonnet 5.5. The chart also includes published results for Claude Opus 5.5 on HLE and Terminal-Bench 4.0.

Per million tokens: $0.80 input, $0.03 cached input, and $3.20 output. Actual spend depends on token usage and cache hits.

Pricing · API setup

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