13 models
Ranked by Design Arena: spreadsheet
1282.0

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...

meta/muse-wonder 1.04858M context $4/M input $20/M output
Reasoning Tools JSON 1196.0

Google's flagship reasoning model for complex software engineering, deep math and science, and long-horizon autonomous agents

google/gemini-4-argon 2026-10-13 1.04858M context $2/M input $10/M output
24 providers
1196.0

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...

google/gemini-4-argon:batch 1.04858M context $1/M input $5/M output
Reasoning Tools JSON Open weights 1115.0

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
1115.0

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...

moonshotai/kimi-k3:batch 1.04858M context $2.28/M input $11.4/M output
Reasoning Tools JSON 1105.0

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

google/gemini-3.7-flash 2026-08-13 1.04858M context $0.75/M input $3.75/M output
30 providers
1105.0

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...

google/gemini-3.7-flash:batch 1.04858M context $0.375/M input $1.875/M output
Reasoning Tools JSON 1095.0

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.

meta/muse-spark-1.3 2026-09-02 1.04858M context $1.25/M input $4.25/M output
16 providers
Reasoning Tools JSON 1071.0

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

google/gemini-3.6-flash 2026-07-21 1.04858M context $0.75/M input $3.75/M output
32 providers
1071.0

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...

google/gemini-3.6-flash:batch 1.04858M context $0.375/M input $1.875/M output
Reasoning Tools JSON 1031.0

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

google/gemini-3.8-flash 2026-09-02 1.04858M context $0.75/M input $3.75/M output
32 providers
1031.0

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.

google/gemini-3.8-flash:batch 1.04858M context $0.375/M input $1.875/M output
Reasoning Tools JSON 1026.0

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

meta/muse-spark-1.1 2026-04-08 1.04858M context $1.25/M input $4.25/M output
17 providers