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| Attribute | GPT-6 Lunagpt-6-luna | Aura-2aura-2 | Nova-3nova-3 | GPT-6 Sol Progpt-6-sol-pro |
|---|---|---|---|---|
| Pricing | ||||
| Input | $0.10 / 1M | $0 / 1M | $0 / 1M | $2.00 / 1M |
| Output | $0.50 / 1M | $0 / 1M | $0 / 1M | $10.00 / 1M |
| Cache Write (5m) | $0.10 / 1M | Not applicable | Not applicable | $2.00 / 1M |
| Cache Write (1h) | $0.10 / 1M | Not applicable | Not applicable | $2.00 / 1M |
| Cache Read | $0.10 / 1M | Not applicable | Not applicable | $2.00 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 1.1M | N/A | N/A | 1.1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | No | No | Yes |
| Function Calling | Yes | No | No | Yes |
| JSON Mode | Yes | No | No | Yes |
| Streaming | Yes | No | No | Yes |
| Catalogue | ||||
| Provider | OpenAI | Deepgram | Deepgram | OpenAI |
| Category | chat | voice | voice | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | 2026-07-16 | 2026-07-15 | — |
| Description | ||||
| Summary | 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. | Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character. | Deepgram Nova-3 speech-to-text. Billed per second of audio. | 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. |