4 models
Ranked by SWE-Bench Pro
Reasoning Tools JSON Open weights 62.5

Open-weight experimental preview of the Qwen4 architecture: hybrid-attention MoE (125B total, 6B active) with vision encoder for coding, agent tasks, and image and video understanding

alibaba/qwen3.8-flash-next 2026-08-27 262.144K context $0.1/M input $0.2/M output
6 providers
Reasoning Tools JSON Open weights 59.0

MiniMax multimodal model for long-context coding, perception, and agent planning

minimax/MiniMax-M3 2026-06-01 1.04858M context $0.3/M input $1.2/M output
49 providers
Reasoning Tools JSON Open weights 51.2

Muse Glimmer is a 30-billion-parameter open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark for always-on local agents, tool use, coding, and image understanding.

meta/muse-glimmer-30b 2026-08-10 131.072K context $0.2/M input $0.8/M output
12 providers
Reasoning Tools JSON Open weights 27.3

Multimodal Kimi workhorse for agent loops, coding tasks, and visual context

moonshotai/kimi-k2.6 2026-04-20 262.144K context $0.95/M input $4/M output
69 providers