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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. Gemini 3.5 TranscribeGoogleRemove
  3. Universal-3.5 ProAssemblyAIRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

grok-4.7 vs gemini-3.5-transcribe vs universal-3-5-pro vs perceptron-mk1.5
AttributeGrok 4.7grok-4.7Gemini 3.5 Transcribegemini-3.5-transcribeUniversal-3.5 Prouniversal-3-5-proPerceptron 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 context500K98.3KN/A36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoNo
Function CallingYesYesNoNo
JSON ModeYesNoNoNo
StreamingYesNoNoYes
Catalogue
ProviderSpaceXAIGoogleAssemblyAIPerceptron
Categorychatvoicevoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-252026-09-222026-09-25
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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.