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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. Aura-2DeepgramRemove
  2. GPT-6 Sol ProOpenAIRemove
  3. Transcribe 1 ProFish AudioRemove
  4. S1Fish AudioRemove

4 is the maximum. Remove one to add another.

aura-2 vs gpt-6-sol-pro vs transcribe-1-pro vs s1
AttributeAura-2aura-2GPT-6 Sol Progpt-6-sol-proTranscribe 1 Protranscribe-1-proS1s1
Pricing
Input$0 / 1M$2.00 / 1M$0 / 1M$0 / 1M
Output$0 / 1M$10.00 / 1M$0 / 1M$0 / 1M
Cache Write (5m)Not applicable$2.00 / 1MNot applicableNot applicable
Cache Write (1h)Not applicable$2.00 / 1MNot applicableNot applicable
Cache ReadNot applicable$2.00 / 1MNot applicableNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1.1MN/AN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoNo
Function CallingNoYesNoNo
JSON ModeNoYesNoNo
StreamingNoYesNoNo
Catalogue
ProviderDeepgramOpenAIFish AudioFish Audio
Categoryvoicechatvoicevoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-16—2026-09-242026-07-29
Description
SummaryDeepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.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.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.