Skip to content

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. Perceptron Mk1.5PerceptronRemove
  2. Muse Spark 1.3MetaRemove
  3. Grok 4.7SpaceXAIRemove
perceptron-mk1.5 vs muse-spark-1.3 vs grok-4.7
AttributePerceptron Mk1.5perceptron-mk1.5Muse Spark 1.3muse-spark-1.3Grok 4.7grok-4.7
Pricing
Input$0.15 / 1M$1.25 / 1M$1.60 / 1M
Output$1.50 / 1M$4.25 / 1M$4.80 / 1M
Cache Write (5m)$0.15 / 1M$1.25 / 1M$1.60 / 1M
Cache Write (1h)$0.15 / 1M$1.25 / 1M$1.60 / 1M
Cache Read$0.15 / 1M$1.25 / 1M$1.60 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9K1M500K
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingYesYesYes
Catalogue
ProviderPerceptronMetaSpaceXAI
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-25——
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per 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.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.