Endeavor 1.1 Benchmarks, Specifications & Availability

Endeavor 1.1

Explore Endeavor 1.1 from Flower Labs: published specifications, source-linked vendor benchmarks, independent evaluator coverage and recorded pricing when available.

Latest versionPrevious version: Endeavor 1.0Release source ↗

Published specifications

Provider: Flower Labs
Access: Proprietary
License: Proprietary
Context window: 1M
Total parameters: Not published
Active parameters: Not published
Released: 2026-11-03
Modalities: text, image
Family: Endeavor

Announcement · Website

Model notes

Flower Labs frontier generalist, successor to Endeavor 1.0, adding image input and an EU GPU inference option. Access by request through the Flower-managed API (api.flower.ai/v1, model name flwrlabs/endeavor-1.1) or private deployment; model artifacts are distributed privately, and Hugging Face has no official Endeavor weights (checked 3 November 2026). Built on unnamed open-weight models with continual pre-training and post-training by Flower. Maximum context 1M tokens per the documentation; deployment limits vary, and the supplied Codex configuration uses 128K. Parameters and pricing are unpublished; no OpenRouter route. Readable thinking traces are offered; effort levels are not documented.

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Pricing · OpenRouter

No OpenRouter pricing is recorded for this model. Missing rates are not free.

Official / vendor benchmarks

Default headline records. Own-vendor, peer-vendor and third-party provenance remain visible in evidence; configurations may differ.

Official / vendor headline scores; expand evidence for every record
Benchmark / evaluator	Headline score	Evidence
GPQA (Flower; subset unstated)	94.4%unknown effort	The recorded result & source 94.4% · raw 94.4 % Headline · unknown effort · Own vendor Source/record date: 2026-11-03 Harness: Flower Labs own evaluation, settings, effort and run date unpublished. Same value in the documentation table, the 1.1 launch post’s version-comparison figure and the 3 November datasheet. Label “GPQA”; subset unstated. https://flower.ai/docs/model/endeavor.html
HumanEval (Flower; protocol unstated)	99.9%unknown effort	The recorded result & source 99.9% · raw 99.9 % Headline · unknown effort · Own vendor Source/record date: 2026-11-03 Harness: Flower Labs own evaluation, settings, effort and run date unpublished. Same value in the documentation table, the 1.1 launch post’s version-comparison figure and the 3 November datasheet. Label “HumanEval”; protocol unstated. https://flower.ai/docs/model/endeavor.html
IFEval	94.5%unknown effort	The recorded result & source 94.5% · raw 94.5 % Headline · unknown effort · Own vendor Source/record date: 2026-11-03 Harness: Flower Labs own evaluation, settings, effort and run date unpublished. Same value in the documentation table, the 1.1 launch post’s version-comparison figure and the 3 November datasheet. Label “IFEval”; prompt/instruction and strict/loose scoring unstated. https://flower.ai/docs/model/endeavor.html
AIME 2026	99.9%unknown effort	The recorded result & source 99.9% · raw 99.9 % Headline · unknown effort · Own vendor Source/record date: 2026-11-03 Harness: Flower Labs own evaluation, settings, effort and run date unpublished. Same value in the documentation table, the 1.1 launch post’s version-comparison figure and the 3 November datasheet. Label “AIME 2026”; sampling, aggregation and tools unstated. https://flower.ai/docs/model/endeavor.html
MMMU Pro (no tools)	81.1%unknown effort	The recorded result & source 81.1% · raw 81.12 % Headline · unknown effort · Own vendor Source/record date: 2026-11-03 Harness: Flower Labs own evaluation, settings, tool use, effort and run date unpublished. 81.12 in the documentation table and the launch post’s figures; the model page and datasheet round it to 81.1. Label “MMMU-Pro”; tool setting unstated. https://flower.ai/docs/model/endeavor.html

Independent evaluators

Evaluator harnesses are distinct from vendor measurements. Missing coverage is not a failed test.

No independent evaluator results are recorded for this model.

Read how we select and source scores or the comparison guide.