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
- Claude Opus 5.5AnthropicRemove
- DeepSeek V4.1 FlashDeepSeekRemove
4 is the maximum. Remove one to add another.
| Attribute | Gemini 3.5 Transcribegemini-3.5-transcribe | Perceptron Mk1.5perceptron-mk1.5 | Claude Opus 5.5claude-opus-5.5 | DeepSeek V4.1 Flashdeepseek-v4.1-flash |
|---|---|---|---|---|
| Pricing | ||||
| Input | $0 / 1M | $0.15 / 1M | $4.00 / 1M | $0.30 / 1M |
| Output | $0 / 1M | $1.50 / 1M | $20.00 / 1M | $1.20 / 1M |
| Cache Write (5m) | Not applicable | $0.15 / 1M | $5.00 / 1M | $0.30 / 1M |
| Cache Write (1h) | Not applicable | $0.15 / 1M | $8.00 / 1M | $0.30 / 1M |
| Cache Read | Not applicable | $0.15 / 1M | $0.40 / 1M | $0.30 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 98.3K | 36.9K | 1M | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | No | Yes | Yes |
| Function Calling | Yes | No | Yes | Yes |
| JSON Mode | No | No | Yes | Yes |
| Streaming | No | Yes | Yes | Yes |
| Catalogue | ||||
| Provider | Perceptron | Anthropic | DeepSeek | |
| 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. | Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token. | Claude Opus 5.5 is Anthropic's flagship model for advanced reasoning, coding, and long-horizon agentic workflows, succeeding Opus 5. It excels at multi-step changes across large codebases, code review and bug detection, financial and scientific analysis, and understanding dense charts, diagrams, and screenshots, with stronger grounding when reporting figures and citing sources. Compared with Opus 5, it completes comparable tasks with fewer steps and lower token usage while providing clearer, more concise progress reporting. With adaptive thinking and configurable effort levels, Opus 5.5 can balance reasoning depth, latency, and cost, making it well suited for both demanding autonomous workflows and latency-sensitive professional tasks. | DeepSeek V4.1 Flash is a cost-efficient sparse Mixture-of-Experts (MoE) model in DeepSeek's V4.1 family, optimized for coding, reasoning, and agentic workflows. Despite its efficiency-focused positioning, DeepSeek reports that it surpasses the previous V4 Pro in performance, inference speed, and overall task completion time. The model is particularly strong at long-horizon, multi-step execution, making it well suited for coding agents, complex problem solving, and autonomous workflows that must reliably carry tasks through to completion. |