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Open weightsOpen Thoughts/10 trustVerified
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OpenThinker-32B

Open-data reasoning model from a fully open curation pipeline.

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About

OpenThinker-32B is the flagship of the Open Thoughts project, which set out to prove that strong reasoning models can be built with fully open data curation. Released in February 2025 on the OpenThoughts-114k dataset, it was positioned by its team as the best open-data reasoning model of its moment, and it became one of the most downloaded reasoning models on Ollama.

Being an early-2025 reasoning model, it has since been overtaken by newer RL-trained models on hard math and code benchmarks. Its lasting value is the open pipeline: dataset, training recipe, and evaluation harness are all public, which makes it a good base for reasoning research rather than a frontier pick.

Specs

Context window

32K

Pricing

Free quota

Open weights free to download and self-host

API access

Weights

Open weights

Released

February 12, 2025

Benchmarks

  • Positioned as best open-data reasoning model at release on math and code benchmarks (team-reported, Feb 2025)

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

researchcode

Trust score — 7/10

/10 trustVerified

Scored 7/10 (verified tier, metrics-v1). Evidence: Open Thoughts project, Feb 2025; fully open data curation pipeline, dataset and eval harness public; Strong early adoption (400k+ Ollama downloads by Feb 2025) but overtaken by newer RL-trained reasoning models; Maintenance is community-driven; no successor flagship from the same team in 2025-2026; Benchmark positioning is team-reported from its release moment. License: Apache-2.0 per the Hugging Face page.

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
7.0/10
  • · Open Thoughts project, Feb 2025; fully open data curation pipeline, dataset and eval harness public
  • · Strong early adoption (400k+ Ollama downloads by Feb 2025) but overtaken by newer RL-trained reasoning models
  • · Maintenance is community-driven; no successor flagship from the same team in 2025-2026
  • · Benchmark positioning is team-reported from its release moment

More in the openthinker family

Sources