Refresh retweeted
Nvidia-backed Reflection AI unveils Beam, its first open-weight model, which it says rivals GLM-5.2 on reasoning with far less inference compute. Weights are due this month.
spr.ly/6019BGLSCz
Congrats to the @reflection_ai on the great model release.
Exciting times for open intelligence!
Introducing Beam: a highly efficient agentic open model with 501B total parameters and 23B active.
- Frontier reasoning efficiency
- Advances the Western open frontier on coding & agentic tasks
- Trained end-to-end from scratch
Full weights release this month.
Learn more about Beam: reflection.ai/beam
Built 100% in @harborframework btw
cc @alexgshaw, @ryan_marten , thanks for continuing to support such a great platform!
Check out the full blog post here:
refresh.dev/blenderbench
DMs open if interested in collaborating on 3D LLM evals!
GPT-6 Astra averaged 0.686 reward across 20 Blender tasks, Claude Opus 5.5 0.642. Astra hit 0.90+ on 7/20, Opus on 3/20.
Where they fall short: on this tightrope task, Opus 5.5 kept the cowboy's feet planted instead of stepping and scored 0.400.
Introducing Blender Bench v1 (BBv1): a benchmark for frontier LLMs on 20 realistic 3D production workflows including animation, modeling, rigging, cloth & surfacing.
GPT-6 Astra leads overall; Claude Opus 5.5 wins modeling & cloth simulation.




