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.
| Attribute | Claude Opus 4.6 (Thinking)claude-opus-4-6-thinking | Perceptron Mk1.5perceptron-mk1.5 | Transcribe 1 Protranscribe-1-pro |
|---|---|---|---|
| Pricing | |||
| Input | $4.00 / 1M | $0.15 / 1M | $0 / 1M |
| Output | $20.00 / 1M | $1.50 / 1M | $0 / 1M |
| Cache Write (5m) | $5.00 / 1M | $0.15 / 1M | Not applicable |
| Cache Write (1h) | $8.00 / 1M | $0.15 / 1M | Not applicable |
| Cache Read | $0.40 / 1M | $0.15 / 1M | Not applicable |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | |||
| Max context | 1M | 36.9K | N/A |
| Max output | N/A | N/A | N/A |
| Capabilities | |||
| Vision | Yes | No | No |
| Function Calling | Yes | No | No |
| JSON Mode | Yes | No | No |
| Streaming | Yes | Yes | No |
| Catalogue | |||
| Provider | Anthropic | Perceptron | Fish Audio |
| Category | chat | chat | voice |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | 2026-09-25 | 2026-09-24 |
| Description | |||
| Summary | Opus 4.6 is Anthropic's most capable model for coding and long-running professional workflows, designed for agents that operate across entire workflows rather than single prompts. It demonstrates strong performance on large codebases, complex refactoring, and multi-step debugging, with improved contextual understanding, deeper problem decomposition, and higher reliability on challenging engineering tasks compared to earlier generations. Beyond software development, Opus 4.6 excels at sustained knowledge work, producing near production-ready documents, technical plans, and analyses in a single pass while maintaining coherence across long outputs and extended sessions. Its strength in persistence, judgment, and structured execution makes it well suited for technical design, migration planning, and end-to-end project execution. | Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token. | Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio. |