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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. Grok 4.7SpaceXAIRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. Muse Spark 1.3MetaRemove
  4. Claude Sonnet 5.5AnthropicRemove

4 is the maximum. Remove one to add another.

grok-4.7 vs perceptron-mk1.5 vs muse-spark-1.3 vs claude-sonnet-5.5
AttributeGrok 4.7grok-4.7Perceptron Mk1.5perceptron-mk1.5Muse Spark 1.3muse-spark-1.3Claude Sonnet 5.5claude-sonnet-5.5
Pricing
Input$1.60 / 1M$0.15 / 1M$1.25 / 1M$2.00 / 1M
Output$4.80 / 1M$1.50 / 1M$4.25 / 1M$10.00 / 1M
Cache Write (5m)$1.60 / 1M$0.15 / 1M$1.25 / 1M$2.50 / 1M
Cache Write (1h)$1.60 / 1M$0.15 / 1M$1.25 / 1M$4.00 / 1M
Cache Read$1.60 / 1M$0.15 / 1M$1.25 / 1M$0.20 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context500K36.9K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesYesYesYes
Catalogue
ProviderSpaceXAIPerceptronMetaAnthropic
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-25——
Description
SummaryGrok 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.Perceptron 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.Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.