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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. S2 ProFish AudioRemove
  2. Universal-3.5 ProAssemblyAIRemove
  3. GPT-6 SolOpenAIRemove
  4. Grok 4.7SpaceXAIRemove

4 is the maximum. Remove one to add another.

s2-pro vs universal-3-5-pro vs gpt-6-sol vs grok-4.7
AttributeS2 Pros2-proUniversal-3.5 Prouniversal-3-5-proGPT-6 Solgpt-6-solGrok 4.7grok-4.7
Pricing
Input$0 / 1M$0 / 1M$2.00 / 1M$1.60 / 1M
Output$0 / 1M$0 / 1M$10.00 / 1M$4.80 / 1M
Cache Write (5m)Not applicableNot applicable$2.00 / 1M$1.60 / 1M
Cache Write (1h)Not applicableNot applicable$2.00 / 1M$1.60 / 1M
Cache ReadNot applicableNot applicable$2.00 / 1M$1.60 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/AN/A1.1M500K
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesYes
Function CallingNoNoYesYes
JSON ModeNoNoYesYes
StreamingNoNoYesYes
Catalogue
ProviderFish AudioAssemblyAIOpenAISpaceXAI
Categoryvoicevoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-292026-09-22——
Description
SummaryFish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio.GPT-6 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applicationsGrok 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.