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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. GPT-6 SolOpenAIRemove
  2. MAI-Transcribe 2MicrosoftRemove
  3. Grok 4.7SpaceXAIRemove
  4. GPT-6 LunaOpenAIRemove

4 is the maximum. Remove one to add another.

gpt-6-sol vs mai-transcribe-2 vs grok-4.7 vs gpt-6-luna
AttributeGPT-6 Solgpt-6-solMAI-Transcribe 2mai-transcribe-2Grok 4.7grok-4.7GPT-6 Lunagpt-6-luna
Pricing
Input$2.00 / 1M$0 / 1M$1.60 / 1M$0.10 / 1M
Output$10.00 / 1M$0 / 1M$4.80 / 1M$0.50 / 1M
Cache Write (5m)$2.00 / 1MNot applicable$1.60 / 1M$0.10 / 1M
Cache Write (1h)$2.00 / 1MNot applicable$1.60 / 1M$0.10 / 1M
Cache Read$2.00 / 1MNot applicable$1.60 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1MN/A500K1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderOpenAIMicrosoftSpaceXAIOpenAI
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-03——
Description
SummaryGPT-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 applicationsMicrosoft MAI-Transcribe-2 speech-to-text. Billed per second of audio.Grok 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.GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.