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.
- Gemini 3.5 TranscribeGoogleRemove
- Perceptron Mk1.5PerceptronRemove
- S1Fish AudioRemove
- GPT-6 SolOpenAIRemove
4 is the maximum. Remove one to add another.
| Attribute | Gemini 3.5 Transcribegemini-3.5-transcribe | Perceptron Mk1.5perceptron-mk1.5 | S1s1 | GPT-6 Solgpt-6-sol |
|---|---|---|---|---|
| Pricing | ||||
| Input | $0 / 1M | $0.15 / 1M | $0 / 1M | $2.00 / 1M |
| Output | $0 / 1M | $1.50 / 1M | $0 / 1M | $10.00 / 1M |
| Cache Write (5m) | Not applicable | $0.15 / 1M | Not applicable | $2.00 / 1M |
| Cache Write (1h) | Not applicable | $0.15 / 1M | Not applicable | $2.00 / 1M |
| Cache Read | Not applicable | $0.15 / 1M | Not applicable | $2.00 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 98.3K | 36.9K | 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 | No | No | No | Yes |
| Streaming | No | Yes | No | Yes |
| Catalogue | ||||
| Provider | Perceptron | Fish Audio | 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 | 2026-09-25 | 2026-09-25 | 2026-07-29 | — |
| Description | ||||
| Summary | Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token. | Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token. | Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text. | 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 |