Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Multimodal Kimi workhorse for agent loops, coding tasks, and visual context
Google's flagship reasoning model for complex software engineering, deep math and science, and long-horizon autonomous agents
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...
Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work
Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...
High-efficiency Gemini model for agentic workflows, coding, and multimodal reasoning
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...
Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It improves long-horizon agent collaboration, instruction following, and coding efficiency relative to Muse Spark 1.2.
Fast Gemini model balancing multimodal reasoning, tool use, and cost
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
Google's most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows
Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration.
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| Meta: Muse Wondermeta/muse-wonder | 1282.0 | 1.04858M | $4 | $20 | — | |||
| Kimi K2.6moonshotai/kimi-k2.6 | 1276.0 | 262.144K | $0.95 | $4 | 2026-04-20 | |||
| Gemini 4 Argongoogle/gemini-4-argon | 1196.0 | 1.04858M | $2 | $10 | 2026-10-13 | |||
| Google: Gemini 4 Argon (batch)google/gemini-4-argon:batch | 1196.0 | 1.04858M | $1 | $5 | — | |||
| Kimi K3moonshotai/kimi-k3 | 1115.0 | 1.04858M | $3 | $15 | 2026-07-16 | |||
| MoonshotAI: Kimi K3 (batch)moonshotai/kimi-k3:batch | 1115.0 | 1.04858M | $2.28 | $11.4 | — | |||
| Gemini 3.7 Flashgoogle/gemini-3.7-flash | 1105.0 | 1.04858M | $0.75 | $3.75 | 2026-08-13 | |||
| Google: Gemini 3.7 Flash (batch)google/gemini-3.7-flash:batch | 1105.0 | 1.04858M | $0.375 | $1.875 | — | |||
| Muse Spark 1.3meta/muse-spark-1.3 | 1095.0 | 1.04858M | $1.25 | $4.25 | 2026-09-02 | |||
| Gemini 3.6 Flashgoogle/gemini-3.6-flash | 1071.0 | 1.04858M | $0.75 | $3.75 | 2026-07-21 | |||
| Google: Gemini 3.6 Flash (batch)google/gemini-3.6-flash:batch | 1071.0 | 1.04858M | $0.375 | $1.875 | — | |||
| MiniMax: MiniMax M3minimax/minimax-m3 | 1044.0 | 524.288K | $0.3 | $1.2 | — | |||
| Gemini 3.8 Flashgoogle/gemini-3.8-flash | 1031.0 | 1.04858M | $0.75 | $3.75 | 2026-09-02 | |||
| Google: Gemini 3.8 Flash (batch)google/gemini-3.8-flash:batch | 1031.0 | 1.04858M | $0.375 | $1.875 | — | |||
| Muse Spark 1.1meta/muse-spark-1.1 | 1026.0 | 1.04858M | $1.25 | $4.25 | 2026-04-08 |