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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. Grok STT 1.0xAIRemove
  3. S1Fish AudioRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

grok-4.7 vs grok-stt-1.0 vs s1 vs perceptron-mk1.5
AttributeGrok 4.7grok-4.7Grok STT 1.0grok-stt-1.0S1s1Perceptron Mk1.5perceptron-mk1.5
Pricing
Input$1.60 / 1M$0 / 1M$0 / 1M$0.15 / 1M
Output$4.80 / 1M$0 / 1M$0 / 1M$1.50 / 1M
Cache Write (5m)$1.60 / 1MNot applicableNot applicable$0.15 / 1M
Cache Write (1h)$1.60 / 1MNot applicableNot applicable$0.15 / 1M
Cache Read$1.60 / 1MNot applicableNot applicable$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context500KN/AN/A36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoNo
Function CallingYesNoNoNo
JSON ModeYesNoNoNo
StreamingYesNoNoYes
Catalogue
ProviderSpaceXAIxAIFish AudioPerceptron
Categorychatvoicevoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-07-232026-07-292026-09-25
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.xAI Grok STT 1.0 speech-to-text. Billed per second of audio.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.