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.
- Perceptron Mk1.5PerceptronRemove
- Gemini 3 Pro Image (Google AI Studio)GoogleRemove
- GPT-6.1 SolOpenAIRemove
| Attribute | Perceptron Mk1.5perceptron-mk1.5 | Gemini 3 Pro Image (Google AI Studio)gemini-3-pro-image-aistudio | GPT-6.1 Solgpt-6.1-sol |
|---|---|---|---|
| Pricing | |||
| Input | $0.15 / 1M | — | $2.00 / 1M |
| Output | $1.50 / 1M | — | $10.00 / 1M |
| Cache Write (5m) | $0.15 / 1M | Not applicable | $2.00 / 1M |
| Cache Write (1h) | $0.15 / 1M | Not applicable | $2.00 / 1M |
| Cache Read | $0.15 / 1M | Not applicable | $2.00 / 1M |
| Web Search | $0 / 1M | — | $0 / 1M |
| Request | — | $0.134 / request | — |
| Billing | — | Pay Per Request | — |
| Context | |||
| Max context | 36.9K | N/A | 1M |
| Max output | N/A | N/A | N/A |
| Capabilities | |||
| Vision | No | Yes | Yes |
| Function Calling | No | No | Yes |
| JSON Mode | No | No | Yes |
| Streaming | Yes | No | Yes |
| Catalogue | |||
| Provider | Perceptron | OpenAI | |
| Category | chat | image | chat |
| Charge type | Pay As You Go | Pay Per Request | Pay As You Go |
| Released | 2026-09-25 | — | — |
| Description | |||
| Summary | Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token. | Gemini 3 Pro Image served from Google AI Studio. Billed per image at US$0.134. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. | GPT-6.1 Sol is an upgraded high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra. It is optimized for agentic coding, computer use, document-heavy professional work, and multi-step business automation, delivering near-Astra-level capability at significantly lower cost. Compared with GPT-6 Sol, it offers improved factual reliability and stronger adherence to explicit constraints and user intent, making it well suited for complex, long-running agentic workflows where accurate and dependable execution is critical. |