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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 Spark OpenMetaRemove
  2. Gemini 3.7 FlashGoogleRemove
  3. Transcribe 1 ProFish AudioRemove
muse-spark-open vs gemini-3.7-flash vs transcribe-1-pro
AttributeMuse Spark Openmuse-spark-openGemini 3.7 Flashgemini-3.7-flashTranscribe 1 Protranscribe-1-pro
Pricing
Input$1.25 / 1M$0.375 / 1M— Not priced per input token
Output$4.25 / 1M$1.88 / 1M— Not priced per output token
Cache Write (5m)$1.25 / 1M$0.375 / 1MNot applicable
Cache Write (1h)$1.25 / 1M$0.375 / 1MNot applicable
Cache Read$1.25 / 1M$0.375 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1MN/A
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderMetaGoogleFish Audio
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-24
Description
SummaryMuse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential.Gemini 3.7 Flash is Google's fast multimodal model designed for agentic workflows, coding, and complex multi-step reasoning. It combines responsive inference with reliable problem-solving capabilities, making it well suited for interactive and production-scale applications. Optimized for speed and dependable multi-step execution, Gemini 3.7 Flash is a strong choice for coding assistants, autonomous agents, and high-throughput workflows that require both low latency and capable reasoning.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.