Models

2026-09-02 upgraded snapshot of Qwen3.8 Max with stronger coding, collaborative agents, and multimodal document understanding

Google's most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows

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.

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

High-efficiency Gemini model for agentic workflows, coding, and multimodal reasoning

High-efficiency Gemini model for agentic workflows, coding, and multimodal reasoning

Muse Spark 1.2 is a coding-focused update to Muse Spark 1.1 with improvements in code generation, complex debugging, codebase understanding, and end-to-end developer workflows.

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

Fast Gemini model balancing multimodal reasoning, tool use, and cost

Fast Gemini model balancing multimodal reasoning, tool use, and cost

Fast Gemini model balancing multimodal reasoning, tool use, and cost

Preview Qwen flagship for million-token multimodal reasoning and long-horizon agentic workflows

Lightweight multimodal Qwen model for high-throughput text, image, and video tasks

Video generation and editing model for fast, conversational text- and image-to-video workflows

Rolling ByteDance Seed model for rapidly updated reasoning, coding, and agent capabilities

ByteDance Seed model optimized for character-driven dialogue and consistent conversational behavior

Faster ByteDance Seed 2.1 model for multimodal reasoning and latency-sensitive agent workflows

Flagship ByteDance Seed 2.1 model for complex multimodal reasoning, coding, and agents

Multimodal Qwen workhorse for long-context agents, visual inputs, and coding

Fast Gemini model balancing multimodal reasoning, tool use, and cost

Low-latency Gemini model for high-volume multimodal and agent workloads

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

Agentic model for autonomous multi-step research, synthesis, and cited reports

Maximum-comprehensiveness agentic researcher for multi-step investigation, synthesis, and cited reports

Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration.

Earlier Qwen multimodal workhorse for million-token agent and document tasks

Fast GLM vision model for screenshots, documents, and multimodal agent tasks

MiMo omni model for text, image, video, audio, and agents

Low-latency Gemini model for high-volume multimodal and agent workloads

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

Reasoning-first Gemini preview for agentic coding and complex problem solving

Advanced Gemini model for complex reasoning, coding, and multimodal analysis

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

ByteDance Seed coding model for multimodal software engineering and long-running agents

Lightweight ByteDance Seed 2.0 model for low-latency multimodal reasoning and high-volume tasks

Flagship ByteDance Seed 2.0 model for complex multimodal reasoning and long-horizon agent workflows

Cost-efficient ByteDance Seed 2.0 model for production chat, analysis, and structured generation

New Gemini flash lane bringing frontier-style multimodal reasoning to cheaper runs

Multimodal reasoning model for visual analysis, planning, and tool use

Preview Gemini flagship for complex reasoning, coding, and rich multimodal prompts

Google's proven reasoning model for coding, math, and multimodal analysis

Fast Gemini workhorse for multimodal apps where latency and price matter

Lean Gemini 2.5 lane for cheap multimodal traffic and quick agents

Multimodal model for complex analysis, long-context understanding, tool use, and model distillation

Low-latency Gemini model for high-volume multimodal and agent workloads

Earlier Gemini Flash workhorse for responsive multimodal apps and tool use

Flagship model for demanding analysis, coding, and production agent workflows

Efficient model for low-latency assistance, extraction, and routine automation

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...

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.