Sky-T1-32B-Preview
Open reasoning model matching o1-preview, trained for under $450.
About
Sky-T1-32B-Preview is a 32B reasoning model from UC Berkeley's NovaSky team that performs on par with OpenAI's o1-preview on math and coding benchmarks — and was famously trained for less than $450 on 8 H100s in 19 hours. It is fully open: weights, training data, and code are all public, distilled from QwQ-32B-Preview with GPT-4o-mini curation.
It beats o1-preview on MATH500 (82.4) and AIME 2024 (43.3) but trails it on GPQA-Diamond, so it is strongest on math and code rather than broad science.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
MATH500 82.4, AIME 2024 43.3, LiveCodeBench-Medium 56.8, GPQA-Diamond 56.8 (NovaSky-reported).
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: landmark <$450 training story; fully open weights, data, and code; benchmarks beaten: MATH500 and AIME 2024 vs o1-preview; trails o1-preview on GPQA-Diamond; math/code specialist. License: Open weights with training code and data published; check the repo for license terms..
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 7.0/10
- Maintenance · recency, releases, issue load
- 6.0/10
- Openness · license + docs
- 9.0/10
- Manual review · sanity read + red-flag check
- 8.0/10
- · landmark <$450 training story; fully open weights, data, and code
- · benchmarks beaten: MATH500 and AIME 2024 vs o1-preview
- · trails o1-preview on GPQA-Diamond; math/code specialist