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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. Grok 4.6xAIRemove
  2. Muse Spark OpenMetaRemove
  3. Transcribe 1 ProFish AudioRemove
grok-4.6 vs muse-spark-open vs transcribe-1-pro
AttributeGrok 4.6grok-4.6Muse Spark Openmuse-spark-openTranscribe 1 Protranscribe-1-pro
Pricing
Input$2.00 / 1M$1.25 / 1M— Not priced per input token
Output$6.00 / 1M$4.25 / 1M— Not priced per output token
Cache Write (5m)$2.00 / 1M$1.25 / 1MNot applicable
Cache Write (1h)$2.00 / 1M$1.25 / 1MNot applicable
Cache Read$2.00 / 1M$1.25 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context500K1MN/A
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderxAIMetaFish Audio
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-24
Description
SummaryGrok 4.6 is SpaceXAI's smartest frontier model, delivering top-tier performance across coding, knowledge work, and STEM reasoning. It is designed for demanding technical and professional workloads that require strong problem solving, accurate instruction following, and reliable execution. Optimized for software engineering, scientific analysis, and complex knowledge tasks, Grok 4.6 is well suited for advanced coding, research, and agentic workflows where high capability and reasoning quality are critical.Muse 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.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.