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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. GPT-6.1 SolOpenAIRemove
  2. Muse WonderMetaRemove
  3. GPT-6 AstraOpenAIRemove
  4. mai-ds-r1:freeNot in the catalogueRemove

4 is the maximum. Remove one to add another.

gpt-6.1-sol vs muse-wonder vs gpt-6-astra vs mai-ds-r1:free
AttributeGPT-6.1 Solgpt-6.1-solMuse Wondermuse-wonderGPT-6 Astragpt-6-astramai-ds-r1:freeNot in the catalogue
Pricing
Input$2.00 / 1M$4.00 / 1M$10.00 / 1M—
Output$10.00 / 1M$20.00 / 1M$50.00 / 1M—
Cache Write (5m)$2.00 / 1M$4.00 / 1M$10.00 / 1M—
Cache Write (1h)$2.00 / 1M$4.00 / 1M$10.00 / 1M—
Cache Read$2.00 / 1M$4.00 / 1M$10.00 / 1M—
Web Search$0 / 1M$0 / 1M$0 / 1M—
Context
Max context1M1M1M—
Max outputN/AN/AN/A—
Capabilities
VisionYesYesYes—
Function CallingYesYesYes—
JSON ModeYesYesYes—
StreamingYesYesYes—
Catalogue
ProviderOpenAIMetaOpenAI—
Categorychatchatchat—
Charge typePay As You GoPay As You GoPay As You Go—
Released————
Description
SummaryGPT-6.1 Sol is an upgraded high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra. It is optimized for agentic coding, computer use, document-heavy professional work, and multi-step business automation, delivering near-Astra-level capability at significantly lower cost. Compared with GPT-6 Sol, it offers improved factual reliability and stronger adherence to explicit constraints and user intent, making it well suited for complex, long-running agentic workflows where accurate and dependable execution is critical.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.GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.—