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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. Gemini 3.5 TranscribeGoogleRemove
  3. Aura-2DeepgramRemove
  4. Grok STT 1.0xAIRemove

4 is the maximum. Remove one to add another.

gpt-6-sol vs gemini-3.5-transcribe vs aura-2 vs grok-stt-1.0
AttributeGPT-6 Solgpt-6-solGemini 3.5 Transcribegemini-3.5-transcribeAura-2aura-2Grok STT 1.0grok-stt-1.0
Pricing
Input$2.00 / 1M$0 / 1M$0 / 1M$0 / 1M
Output$10.00 / 1M$0 / 1M$0 / 1M$0 / 1M
Cache Write (5m)$2.00 / 1MNot applicableNot applicableNot applicable
Cache Write (1h)$2.00 / 1MNot applicableNot applicableNot applicable
Cache Read$2.00 / 1MNot applicableNot applicableNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M98.3KN/AN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoNo
Function CallingYesYesNoNo
JSON ModeYesNoNoNo
StreamingYesNoNoNo
Catalogue
ProviderOpenAIGoogleDeepgramxAI
Categorychatvoicevoicevoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-252026-07-162026-07-23
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 applicationsGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.xAI Grok STT 1.0 speech-to-text. Billed per second of audio.