8 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 62.1

Open flagship GLM for long-horizon coding agents and million-token context work

zhipuai/glm-5.2 2026-06-13 1M context $1.195/M input $4.183/M output
81 providers
Reasoning Tools 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 57.2

Stronger MiMo Pro tier for multimodal reasoning and coding-agent execution

xiaomi/mimo-v2.5-pro 2026-04-22 1.04858M context $0.435/M input $0.87/M output
26 providers
Reasoning Tools Open weights 56.2

Open MiniMax flagship for coding agents, office automation, and complex environments

minimax/MiniMax-M2.7 2026-03-18 204.8K context $0.3/M input $1.2/M output
41 providers
Reasoning Tools JSON Open weights 52.6

Fast DeepSeek V4 lane for economical reasoning, coding, and long-context work

deepseek/deepseek-v4-flash 2026-04-24 1M context $0.15/M input $0.6/M output
68 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