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.
- Claude Sonnet 5.5AnthropicRemove
- Grok STT 1.0xAIRemove
- S2 ProFish AudioRemove
- DeepSeek V4.1 FlashDeepSeekRemove
4 is the maximum. Remove one to add another.
| Attribute | Claude Sonnet 5.5claude-sonnet-5.5 | Grok STT 1.0grok-stt-1.0 | S2 Pros2-pro | DeepSeek V4.1 Flashdeepseek-v4.1-flash |
|---|---|---|---|---|
| Pricing | ||||
| Input | $2.00 / 1M | $0 / 1M | $0 / 1M | $0.30 / 1M |
| Output | $10.00 / 1M | $0 / 1M | $0 / 1M | $1.20 / 1M |
| Cache Write (5m) | $2.50 / 1M | Not applicable | Not applicable | $0.30 / 1M |
| Cache Write (1h) | $4.00 / 1M | Not applicable | Not applicable | $0.30 / 1M |
| Cache Read | $0.20 / 1M | Not applicable | Not applicable | $0.30 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 1M | N/A | N/A | 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 | Yes | No | No | Yes |
| Streaming | Yes | No | No | Yes |
| Catalogue | ||||
| Provider | Anthropic | xAI | Fish Audio | DeepSeek |
| Category | chat | voice | voice | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | 2026-07-23 | 2026-07-29 | — |
| Description | ||||
| Summary | 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. | xAI Grok STT 1.0 speech-to-text. Billed per second of audio. | Fish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text. | 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. |