Reasoning Tools JSON Open weights

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

xiaomi/mimo-v2.6-pro 2026-09-22 1.04858M context $0.435/M input $0.87/M output
23 providers
Reasoning Tools JSON Open weights

DeepSeek V4.1 Flash model for reasoning and agentic coding

deepseek/deepseek-v4.1-flash 2026-09-10 1M context $0.02/M input $1/M output
70 providers
Reasoning Tools JSON Open weights

Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work

moonshotai/kimi-k3 2026-07-16 1.04858M context $3/M input $15/M output
82 providers
Reasoning Tools JSON Open weights

Coding-focused Kimi model, stronger on long-horizon repo work with less overthinking

moonshotai/kimi-k2.7-code 2026-06-12 262.144K context $0.95/M input $4/M output
67 providers
Reasoning Tools JSON Open weights

Lower-latency Kimi Code variant for interactive edits and coding-agent loops

moonshotai/kimi-k2.7-code-highspeed 2026-06-12 262.144K context $1.9/M input $8/M output
12 providers
Reasoning Tools JSON Open weights

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

Newer StepFun flash model for faster agents, coding, and multimodal prompts

stepfun/step-3.7-flash 2026-05-29 256K context $0.202/M input $1.211/M output
21 providers
Reasoning Tools JSON Open weights

Open MiMo model for multimodal coding agents and long-context automation

xiaomi/mimo-v2.5 2026-04-22 1.04858M context $0.14/M input $0.28/M output
27 providers
Reasoning Tools JSON Open weights

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
Reasoning Tools JSON Open weights

Earlier Kimi frontier model for long-context agents, coding, and multimodal work

moonshotai/kimi-k2.5 2026-01-27 262.144K context $0.375/M input $2/M output
47 providers
Open weights

GLM-Image is an image generation model adopts a hybrid autoregressive + diffusion decoder architecture. In general image generation quality, GLM‑Image aligns with mainstream latent diffusion approaches, but it shows significant advantages in text-rendering and knowledge‑intensive generation scenarios. It performs especially well in tasks requiring precise semantic understanding and complex information expression, while maintaining strong capabilities in high‑fidelity and fine‑grained detail generation. In addition to text‑to‑image generation, GLM‑Image also supports a rich set of image‑to‑image tasks including image editing, style transfer, identity‑preserving generation, and multi‑subject consistency.

zhipuai/glm-image 2026-01-14 10.24K context Input not listed Output not listed
1 provider