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.
- DeepSeek V4 Pro 0813DeepSeekRemove
- DeepSeek V4.1 Flash 1017DeepSeekRemove
- Transcribe 1 ProFish AudioRemove
| Attribute | DeepSeek V4 Pro 0813deepseek-v4-pro-0813 | DeepSeek V4.1 Flash 1017deepseek-v4.1-flash-1017 | Transcribe 1 Protranscribe-1-pro |
|---|---|---|---|
| Pricing | |||
| Input | $0.435 / 1M | $0.10 / 1M | — Not priced per input token |
| Output | $0.87 / 1M | $0.50 / 1M | — Not priced per output token |
| Cache Write (5m) | $0.435 / 1M | $0.10 / 1M | Not applicable |
| Cache Write (1h) | $0.435 / 1M | $0.10 / 1M | Not applicable |
| Cache Read | $0.435 / 1M | $0.10 / 1M | Not applicable |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | |||
| Max context | 1M | 1M | N/A |
| Max output | N/A | N/A | N/A |
| Capabilities | |||
| Vision | Yes | Yes | No |
| Function Calling | Yes | Yes | No |
| JSON Mode | Yes | Yes | No |
| Streaming | Yes | Yes | No |
| Catalogue | |||
| Provider | DeepSeek | DeepSeek | Fish Audio |
| Category | chat | chat | voice |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | — | 2026-09-24 |
| Description | |||
| Summary | DeepSeek V4 Pro 0813 is DeepSeek's large-scale Mixture-of-Experts (MoE) model and the general availability (GA) release of DeepSeek V4 Pro. It is designed for high-capability workloads requiring advanced reasoning, coding, and agentic task execution. As the production-ready V4 Pro release, it is well suited for complex software engineering, long-horizon agent workflows, and demanding reasoning tasks where reliability and model capability are critical. | DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek’s cost-efficient Mixture-of-Experts (MoE) model, built on its innovative Causal Encoder-Decoder (CED) architecture. Featuring 552B total parameters with 8B activated for input and 16B for output, it combines efficient inference with native multimodal understanding through jointly trained text and visual representations. Optimized for coding, terminal and computer-use agents, and long-horizon workflows, the model introduces compressed KV caching that reduces cache memory usage to approximately one-quarter of the previous Flash generation. DeepSeek reports that it surpasses V4 Pro in performance, inference speed, and task completion time, making it well suited for cost-efficient autonomous agents, complex software engineering, and long-context analysis. | Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio. |