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| Attribute | GPT-6 Solgpt-6-sol | Muse Spark 1.3muse-spark-1.3 | Qwen3 ASR 1.7Bqwen3-asr-1.7b | S2 Pros2-pro |
|---|---|---|---|---|
| Pricing | ||||
| Input | $2.00 / 1M | $1.25 / 1M | $0 / 1M | $0 / 1M |
| Output | $10.00 / 1M | $4.25 / 1M | $0 / 1M | $0 / 1M |
| Cache Write (5m) | $2.00 / 1M | $1.25 / 1M | Not applicable | Not applicable |
| Cache Write (1h) | $2.00 / 1M | $1.25 / 1M | Not applicable | Not applicable |
| Cache Read | $2.00 / 1M | $1.25 / 1M | Not applicable | Not applicable |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 1.1M | 1M | N/A | N/A |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | Yes | No | No |
| Function Calling | Yes | Yes | No | No |
| JSON Mode | Yes | Yes | No | No |
| Streaming | Yes | Yes | No | No |
| Catalogue | ||||
| Provider | OpenAI | Meta | Qwen | Fish Audio |
| Category | chat | chat | voice | voice |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | — | 2026-08-13 | 2026-07-29 |
| Description | ||||
| Summary | GPT-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 applications | Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows. | Qwen3-ASR 1.7B speech-to-text. Billed per second of audio. | Fish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text. |