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Compare models

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 1.3MetaRemove
  2. Grok STT 1.0xAIRemove
  3. Transcribe 1 ProFish AudioRemove
  4. Grok 4.7SpaceXAIRemove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs grok-stt-1.0 vs transcribe-1-pro vs grok-4.7
AttributeMuse Spark 1.3muse-spark-1.3Grok STT 1.0grok-stt-1.0Transcribe 1 Protranscribe-1-proGrok 4.7grok-4.7
Pricing
Input$1.25 / 1M$0 / 1M$0 / 1M$1.60 / 1M
Output$4.25 / 1M$0 / 1M$0 / 1M$4.80 / 1M
Cache Write (5m)$1.25 / 1MNot applicableNot applicable$1.60 / 1M
Cache Write (1h)$1.25 / 1MNot applicableNot applicable$1.60 / 1M
Cache Read$1.25 / 1MNot applicableNot applicable$1.60 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/AN/A500K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoYes
Function CallingYesNoNoYes
JSON ModeYesNoNoYes
StreamingYesNoNoYes
Catalogue
ProviderMetaxAIFish AudioSpaceXAI
Categorychatvoicevoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-07-232026-09-24—
Description
SummaryMuse 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.xAI Grok STT 1.0 speech-to-text. Billed per second of audio.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.Grok 4.7 is SpaceXAI's flagship model for coding, agentic workflows, and professional knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering, self-verification, and long-context execution, while improving capabilities in document drafting, presentations, and other professional tasks. Trained with extended reinforcement learning focused on multi-hour problems, Grok 4.7 is optimized for sustained, complex task execution and natively supports the Grok Bot harness for conversational workflows. It also introduces an enhanced safeguard stack designed to combine strong jailbreak resistance with low refusal rates for legitimate technical work. Reported benchmark results use xhigh reasoning effort.