Compare models
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| Attribute | S1s1 | GPT-6 Sol Progpt-6-sol-pro | Aura-2aura-2 | GPT-6 Luna Progpt-6-luna-pro |
|---|---|---|---|---|
| Pricing | ||||
| Input | $0 / 1M | $2.00 / 1M | $0 / 1M | $0.10 / 1M |
| Output | $0 / 1M | $10.00 / 1M | $0 / 1M | $0.50 / 1M |
| Cache Write (5m) | Not applicable | $2.00 / 1M | Not applicable | $0.10 / 1M |
| Cache Write (1h) | Not applicable | $2.00 / 1M | Not applicable | $0.10 / 1M |
| Cache Read | Not applicable | $2.00 / 1M | Not applicable | $0.10 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | N/A | 1.1M | N/A | 1.1M |
| 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 | Yes |
| Streaming | No | Yes | No | Yes |
| Catalogue | ||||
| Provider | Fish Audio | OpenAI | Deepgram | OpenAI |
| Category | voice | chat | voice | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | 2026-07-29 | — | 2026-07-16 | — |
| Description | ||||
| Summary | Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text. | 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. | Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character. | 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. |