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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. S2 ProFish AudioRemove
  4. GPT-6 Sol ProOpenAIRemove

4 is the maximum. Remove one to add another.

grok-4.7 vs gemini-3.5-transcribe vs s2-pro vs gpt-6-sol-pro
AttributeGrok 4.7grok-4.7Gemini 3.5 Transcribegemini-3.5-transcribeS2 Pros2-proGPT-6 Sol Progpt-6-sol-pro
Pricing
Input$1.60 / 1M$0 / 1M$0 / 1M$2.00 / 1M
Output$4.80 / 1M$0 / 1M$0 / 1M$10.00 / 1M
Cache Write (5m)$1.60 / 1MNot applicableNot applicable$2.00 / 1M
Cache Write (1h)$1.60 / 1MNot applicableNot applicable$2.00 / 1M
Cache Read$1.60 / 1MNot applicableNot applicable$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context500K98.3KN/A1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesNoYes
JSON ModeYesNoNoYes
StreamingYesNoNoYes
Catalogue
ProviderSpaceXAIGoogleFish AudioOpenAI
Categorychatvoicevoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-252026-07-29—
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.Fish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.GPT-6 Sol Pro uses the same underlying model as GPT-6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex and demanding tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is particularly well suited for agentic coding, long-horizon software engineering, professional analysis, and complex automated workflows where solution quality takes priority over latency and cost.