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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. Muse WonderMetaRemove
  2. DeepSeek V4 Pro 0813DeepSeekRemove
  3. Gemini 3.5 TranscribeGoogleRemove
muse-wonder vs deepseek-v4-pro-0813 vs gemini-3.5-transcribe
AttributeMuse Wondermuse-wonderDeepSeek V4 Pro 0813deepseek-v4-pro-0813Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$4.00 / 1M$0.435 / 1M— Not priced per input token
Output$20.00 / 1M$0.87 / 1M— Not priced per output token
Cache Write (5m)$4.00 / 1M$0.435 / 1MNot applicable
Cache Write (1h)$4.00 / 1M$0.435 / 1MNot applicable
Cache Read$4.00 / 1M$0.435 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderMetaDeepSeekGoogle
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-25
Description
SummaryMuse 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.DeepSeek V4 Pro 0813 is DeepSeek's large-scale Mixture-of-Experts (MoE) model and the general availability (GA) release of DeepSeek V4 Pro. It is designed for high-capability workloads requiring advanced reasoning, coding, and agentic task execution. As the production-ready V4 Pro release, it is well suited for complex software engineering, long-horizon agent workflows, and demanding reasoning tasks where reliability and model capability are critical.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.