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Compare models

Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. o3 Deep ResearchOpenAIRemove
  2. Gemini 4 ArgonGoogleRemove
  3. Muse WonderMetaRemove
  4. Claude Fable 5.2AnthropicRemove

4 is the maximum. Remove one to add another.

o3-deep-research vs gemini-4-argon vs muse-wonder vs claude-fable-5.2
Attributeo3 Deep Researcho3-deep-researchGemini 4 Argongemini-4-argonMuse Wondermuse-wonderClaude Fable 5.2claude-fable-5.2
Pricing
Input$10.00 / 1M$2.00 / 1M$4.00 / 1M$8.00 / 1M
Output$40.00 / 1M$10.00 / 1M$20.00 / 1M$40.00 / 1M
Cache Write (5m)$10.00 / 1M$2.00 / 1M$4.00 / 1M$10.00 / 1M
Cache Write (1h)$10.00 / 1M$2.00 / 1M$4.00 / 1M$16.00 / 1M
Cache Read$10.00 / 1M$2.00 / 1M$4.00 / 1M$0.20 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context200K1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderOpenAIGoogleMetaAnthropic
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released————
Description
Summaryo3-deep-research is OpenAI's advanced research model, built for complex, multi-step investigation and analysis. It automatically performs web searches to gather and synthesize information — but this always incurs additional cost since web_search is used by default.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 long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.Muse Wonder is Meta’s frontier multimodal reasoning model, designed for complex personal and professional agentic workflows. It supports text, image, video, audio, and PDF inputs with text output and features a 1M-token context window for sustained reasoning across long-running tasks. Optimized for autonomous execution and multi-agent orchestration, Muse Wonder can plan, delegate to subagents, coordinate parallel tool use, recover from errors, and operate browsers and applications across desktop and mobile environments. With cross-conversation context retrieval and its Active Focus training approach, it is well suited for complex software engineering, multi-file refactoring, computer use, and end-to-end workflows requiring persistence, adaptability, and minimal supervision.Claude Fable 5.2 is Anthropic's most capable model for advanced technical work and open-ended problem solving, delivering significant improvements in coding, reasoning, and vision over Fable 5.1. It excels at exceptionally complex tasks, including large-scale software migrations, electronic system design, and advanced scientific and mathematical research. With up to 30% faster output generation, clearer communication, and always-on adaptive extended thinking, Fable 5.2 supports configurable reasoning effort from low to max (default high), with thinking preserved across turns. Designed for frontier engineering, scientific discovery, and ambitious long-horizon agentic workflows, it complements Opus 5.5 as a specialized option for the most demanding technical challenges.