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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. Gemini 3.5 TranscribeGoogleRemove
  2. Muse Spark 1.3MetaRemove
  3. Gemini 4 ArgonGoogleRemove
gemini-3.5-transcribe vs muse-spark-1.3 vs gemini-4-argon
AttributeGemini 3.5 Transcribegemini-3.5-transcribeMuse Spark 1.3muse-spark-1.3Gemini 4 Argongemini-4-argon
Pricing
Input— Not priced per input token$1.25 / 1M$2.00 / 1M
Output— Not priced per output token$4.25 / 1M$10.00 / 1M
Cache Write (5m)Not applicable$1.25 / 1M$2.00 / 1M
Cache Write (1h)Not applicable$1.25 / 1M$2.00 / 1M
Cache ReadNot applicable$1.25 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3K1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderGoogleMetaGoogle
Categoryvoicechatchat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-25——
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.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.