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

  1. Olmo 3 32B ThinkAllen AIRemove
  2. Muse WonderMetaRemove
olmo-3-32b-think vs muse-wonder
AttributeOlmo 3 32B Thinkolmo-3-32b-thinkMuse Wondermuse-wonder
Pricing
Input$0.30 / 1M$4.00 / 1M
Output$0.45 / 1M$20.00 / 1M
Cache Write (5m)$0.30 / 1M$4.00 / 1M
Cache Write (1h)$0.30 / 1M$4.00 / 1M
Cache Read$0.30 / 1M$4.00 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context65.5K1M
Max outputN/AN/A
Capabilities
VisionNoYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderAllen AIMeta
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryOlmo 3.1 32B Think is a 32B-parameter reasoning model built for complex, multi-step logic and advanced instruction following. It improves on earlier Olmo versions with more refined reasoning and stronger performance on challenging evaluations, and — as part of AI2’s open initiative — it's fully transparent and released under Apache 2.0 with open weights, code, and training details.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.