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 | DeepSeek V4.1 Flashdeepseek-v4.1-flash | Qwen3 ASR 0.6Bqwen3-asr-0.6b | S1s1 |
|---|---|---|---|
| Pricing | |||
| Input | $0.30 / 1M | $0 / 1M | $0 / 1M |
| Output | $1.20 / 1M | $0 / 1M | $0 / 1M |
| Cache Write (5m) | $0.30 / 1M | Not applicable | Not applicable |
| Cache Write (1h) | $0.30 / 1M | Not applicable | Not applicable |
| Cache Read | $0.30 / 1M | Not applicable | Not applicable |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | |||
| Max context | 1M | N/A | 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 | No | No |
| Catalogue | |||
| Provider | DeepSeek | Qwen | Fish Audio |
| Category | chat | voice | voice |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | 2026-08-13 | 2026-07-29 |
| Description | |||
| Summary | 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. | Qwen3-ASR 0.6B speech-to-text. Billed per second of audio. | Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text. |