Guide

Specialized model from Fireworks built on Kimi K3, producing shorter reasoning traces with approximately 40% fewer tokens while maintaining comparable quality

DeepSeek V4.1 Flash model for reasoning and agentic coding

DeepSeek V4.1 Flash model for reasoning and agentic coding

Flagship GLM model for long-horizon coding, agents, and complex project delivery

Flagship GLM model for long-horizon coding, agents, and complex project delivery

Native multimodal GLM model for efficient coding and long-horizon agent tasks

Native multimodal GLM model for efficient coding and long-horizon agent tasks

Experimental multimodal DeepSeek V4 Flash model for image understanding, coding, and agentic work

Flagship GLM model for long-horizon coding, agents, and complex project delivery

Flagship GLM model for long-horizon coding, agents, and complex project delivery

DeepSeek V4 Pro snapshot with million-token context and support for thinking and non-thinking modes

Open-weight sparse MoE (2.4T total, 95B active), the open-weight twin of Qwen3.8 Max for coding, research, complex reasoning, and agentic workflows

Fast NVIDIA Nemotron MoE for reliable agentic tasks across enterprise workloads

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.

2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows

2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows

Official DeepSeek V4 Flash release with enhanced agentic capabilities and integrated DSpark speculative decoding

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

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

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

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

Multimodal MoE reasoning model (975B total, 41B active) for text, image, and audio

Efficient GLM model for fast reasoning, coding, and agent workflows

Flagship GLM model for hybrid reasoning, coding, and agentic engineering

Kimi coding model for software agents, refactors, and repository reasoning

Fireworks text-only MiniMax coding model for long-context reasoning and agent tasks

Qwen vision-language model for visual reasoning, documents, and agent tasks

Kimi coding model for software agents, refactors, and repository reasoning

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

Largest Nemotron 3 model for maximum open-weight reasoning and agent accuracy

Open MoE flagship with million-token context for coding and long agent runs

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

Kimi reasoning model for long-horizon research, planning, and tool use

Kimi reasoning model for long-horizon research, planning, and tool use

Kimi reasoning model for long-horizon research, planning, and tool use

MiniMax model for chat, coding, office work, and agentic tasks

Qwen 3.6 Plus from Fireworks AI - text, image input, 262,144 token context

GLM 5.1 from Fireworks AI - text input, 202,800 token context

GLM 5.1 Fast from Fireworks AI - text input, 202,800 token context

MiniMax-M2.5 from Fireworks AI - text input, 196,608 token context

GLM 5 from Fireworks AI - text input, 202,752 token context

Kimi K2.5 from Fireworks AI - text, image, video input, 256,000 token context

Kimi K2.5 Turbo from Fireworks AI - text, image input, 256,000 token context

MiniMax-M2.1 from Fireworks AI - text input, 200,000 token context

GLM 4.7 from Fireworks AI - text input, 198,000 token context

DeepSeek V3.2 from Fireworks AI - text input, 160,000 token context

Kimi K2 Thinking from Fireworks AI - text input, 256,000 token context

MiniMax-M2 from Fireworks AI - text input, 192,000 token context

GLM 4.6 from Fireworks AI - text input, 198,000 token context

DeepSeek V3.1 from Fireworks AI - text input, 163,840 token context

Open-weight GPT model for self-hosted reasoning and instruction-following workloads