Models
Every model we serve, side by side: list prices, context windows, and scores on the benchmarks we trust for agentic coding.
FeaturedThe model we push furthest with our in-house inference stack, from kernels to serving.
Best for fast agentic coding at a low price.
Best for complex, long-horizon coding.
Best for the hardest, highest-stakes tasks.
GLM-5.3-Flash is Z.ai's fast open-weights model for coding and agentic work: a 320B mixture-of-experts with 18B active parameters per token, the first natively multimodal release in the GLM-5 series with native image and video understanding, on a 1M-token context window.
DeepSeek V4 Flash: DeepSeek's fast agentic coding MoE (284B total, 13B active), served from the official 0731 release on a 1M-token context.
Technical id for Qwen3.6-35B-A3B, the model behind `umans-flash` until it moved to DeepSeek V4.1 Flash.
Scores as of October 3, 2026. Each model's page links every score to its source.
By Artificial Analysis
An independent composite of reasoning, knowledge, maths, coding and agentic evaluations, run by Artificial Analysis on every model the same way.
MethodologyBy Datacurve
Long-horizon software engineering: real repository tasks an agent has to finish end to end.
MethodologyBy tbench.ai
Hard, realistic tasks an agent completes in a terminal sandbox: building, debugging, configuring.
Methodology* Reported by the model's publisher on its model card. Publishers run their own harnesses, so these compare less cleanly than the independent measurements, which carry no mark. No number here is estimated: a model without one has not been measured on that benchmark yet. A score on another version of a benchmark is shown under that version and left out of the ranking. † Measured on a model's previous weights, before an update; it stays until the new weights are measured.
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