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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 STT 1.0xAIRemove
  2. Muse Spark 1.3MetaRemove
  3. Grok 4.7SpaceXAIRemove
grok-stt-1.0 vs muse-spark-1.3 vs grok-4.7
AttributeGrok STT 1.0grok-stt-1.0Muse Spark 1.3muse-spark-1.3Grok 4.7grok-4.7
Pricing
Input$0 / 1M$1.25 / 1M$1.60 / 1M
Output$0 / 1M$4.25 / 1M$4.80 / 1M
Cache Write (5m)Not applicable$1.25 / 1M$1.60 / 1M
Cache Write (1h)Not applicable$1.25 / 1M$1.60 / 1M
Cache ReadNot applicable$1.25 / 1M$1.60 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M500K
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderxAIMetaSpaceXAI
Categoryvoicechatchat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-07-23——
Description
SummaryxAI Grok STT 1.0 speech-to-text. Billed per second of audio.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.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.