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.
- Transcribe 1Fish AudioRemove
- GPT-6 Luna ProOpenAIRemove
- Nova-3DeepgramRemove
- Gemini 3.5 TranscribeGoogleRemove
4 is the maximum. Remove one to add another.
| Attribute | Transcribe 1transcribe-1 | GPT-6 Luna Progpt-6-luna-pro | Nova-3nova-3 | Gemini 3.5 Transcribegemini-3.5-transcribe |
|---|---|---|---|---|
| Pricing | ||||
| Input | $0 / 1M | $0.10 / 1M | $0 / 1M | $0 / 1M |
| Output | $0 / 1M | $0.50 / 1M | $0 / 1M | $0 / 1M |
| Cache Write (5m) | Not applicable | $0.10 / 1M | Not applicable | Not applicable |
| Cache Write (1h) | Not applicable | $0.10 / 1M | Not applicable | Not applicable |
| Cache Read | Not applicable | $0.10 / 1M | Not applicable | Not applicable |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | N/A | 1.1M | N/A | 98.3K |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | No | Yes | No | Yes |
| Function Calling | No | Yes | No | Yes |
| JSON Mode | No | Yes | No | No |
| Streaming | No | Yes | No | No |
| Catalogue | ||||
| Provider | Fish Audio | OpenAI | Deepgram | |
| Category | voice | chat | voice | voice |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | 2026-07-29 | — | 2026-07-15 | 2026-09-25 |
| Description | ||||
| Summary | Fish Audio Transcribe 1 speech-to-text. Billed per second of audio. | GPT-6 Luna Pro uses the same underlying model as GPT-6 Luna, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. It combines Luna's speed and cost efficiency with deeper reasoning and more reliable multi-step execution, making it well suited for advanced coding, computer use, and agentic workflows where higher solution quality is needed without moving to a larger GPT-6 tier. | Deepgram Nova-3 speech-to-text. Billed per second of audio. | Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token. |