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.
4 is the maximum. Remove one to add another.
| Attribute | S1s1 | Perceptron Mk1.5perceptron-mk1.5 | GPT-6 Astragpt-6-astra | GPT-6 Sol Progpt-6-sol-pro |
|---|---|---|---|---|
| Pricing | ||||
| Input | $0 / 1M | $0.15 / 1M | $10.00 / 1M | $2.00 / 1M |
| Output | $0 / 1M | $1.50 / 1M | $50.00 / 1M | $10.00 / 1M |
| Cache Write (5m) | Not applicable | $0.15 / 1M | $10.00 / 1M | $2.00 / 1M |
| Cache Write (1h) | Not applicable | $0.15 / 1M | $10.00 / 1M | $2.00 / 1M |
| Cache Read | Not applicable | $0.15 / 1M | $10.00 / 1M | $2.00 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | N/A | 36.9K | 1M | 1.1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | No | No | Yes | Yes |
| Function Calling | No | No | Yes | Yes |
| JSON Mode | No | No | Yes | Yes |
| Streaming | No | Yes | Yes | Yes |
| Catalogue | ||||
| Provider | Fish Audio | Perceptron | OpenAI | OpenAI |
| Category | voice | chat | chat | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | 2026-07-29 | 2026-09-25 | — | — |
| Description | ||||
| Summary | Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text. | Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token. | GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work. | 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. |