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.
| Attribute | GPT-6 Sol Progpt-6-sol-pro | Qwen3 ASR 1.7Bqwen3-asr-1.7b | Gemini 3.5 Transcribegemini-3.5-transcribe |
|---|---|---|---|
| Pricing | |||
| Input | $2.00 / 1M | $0 / 1M | $0 / 1M |
| Output | $10.00 / 1M | $0 / 1M | $0 / 1M |
| Cache Write (5m) | $2.00 / 1M | Not applicable | Not applicable |
| Cache Write (1h) | $2.00 / 1M | Not applicable | Not applicable |
| Cache Read | $2.00 / 1M | Not applicable | Not applicable |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | |||
| Max context | 1.1M | N/A | 98.3K |
| Max output | N/A | N/A | N/A |
| Capabilities | |||
| Vision | Yes | No | Yes |
| Function Calling | Yes | No | Yes |
| JSON Mode | Yes | No | No |
| Streaming | Yes | No | No |
| Catalogue | |||
| Provider | OpenAI | Qwen | |
| Category | chat | voice | voice |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | 2026-08-13 | 2026-09-25 |
| Description | |||
| Summary | 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. | Qwen3-ASR 1.7B speech-to-text. Billed per second of audio. | Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token. |