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
- Claude Sonnet 5.5AnthropicRemove
- Perceptron Mk1.5PerceptronRemove
- GLM 5V TurboZ.AIRemove
4 is the maximum. Remove one to add another.
| Attribute | Gemini 3.5 Transcribegemini-3.5-transcribe | Claude Sonnet 5.5claude-sonnet-5.5 | Perceptron Mk1.5perceptron-mk1.5 | GLM 5V Turboglm-5v-turbo |
|---|---|---|---|---|
| Pricing | ||||
| Input | — Not priced per input token | $2.00 / 1M | $0.15 / 1M | $1.20 / 1M |
| Output | — Not priced per output token | $10.00 / 1M | $1.50 / 1M | $4.00 / 1M |
| Cache Write (5m) | Not applicable | $2.50 / 1M | $0.15 / 1M | $1.20 / 1M |
| Cache Write (1h) | Not applicable | $4.00 / 1M | $0.15 / 1M | $1.20 / 1M |
| Cache Read | Not applicable | $0.20 / 1M | $0.15 / 1M | $1.20 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 98.3K | 1M | 36.9K | 202.8K |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | Yes | No | Yes |
| Function Calling | Yes | Yes | No | Yes |
| JSON Mode | No | Yes | No | Yes |
| Streaming | No | Yes | Yes | Yes |
| Catalogue | ||||
| Provider | Anthropic | Perceptron | Z.AI | |
| Category | voice | chat | chat | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | 2026-09-25 | — | 2026-09-25 | — |
| Description | ||||
| Summary | Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token. | Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor. | Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token. | GLM-5V-Turbo is Z.ai's first native multimodal agent foundation model, designed for vision-based coding and agent-driven workflows. It natively supports image, video, and text inputs, enabling integrated multimodal reasoning and execution. The model excels at long-horizon planning, complex coding, and multi-step task execution, and works seamlessly with agents to complete the full loop of “perceive → plan → execute”, making it well suited for advanced multimodal automation and real-world agent systems. |