DeepSeek V4.1 Flash vs DeepSeek V4 Flash
Which one to choose
Pick DeepSeek V4.1 Flash when the work includes screenshots, diagrams or rendered interfaces, since it reads images natively and DeepSeek released it as the newer Flash model. Pick DeepSeek V4 Flash only when you handle text and rely on structured response schemas, which V4.1 Flash does not offer. Both reason in thinking mode, call tools and cache prompts, so most text prompts carry over without changes.
Pricing comparison
| DeepSeek V4.1 Flash | DeepSeek V4 Flash | |
|---|---|---|
| Model maker | DeepSeek | DeepSeek |
| Delivery availability | Available | Available |
| Context window | 1M | 1M |
| Max output | 384K | 384K |
| Official price | Input$0.15per 1M tokensOutput$0.60per 1M tokens | Input$0.15per 1M tokensOutput$0.60per 1M tokens |
| TokenLab price | — | — |
| Model performance |
|
|
| Capabilities | JSON modePrompt CacheTool useVisionReasoning | JSON modePrompt CacheTool use |
Choose DeepSeek V4.1 Flash when
- Your coding agent has to look at a rendered page or screenshot before it edits the code.
- You want the newer Flash model that DeepSeek's September 2026 update introduced.
- Your inputs mix diagrams, charts or UI captures with instructions and code.
Choose DeepSeek V4 Flash when
- Your pipeline depends on schema-constrained JSON output from the model.
- Every input is plain text, so image understanding adds nothing for you.
- You have a tested V4 Flash prompt set and want no change until you have time to re-test.
How they differ
| Aspect | DeepSeek V4.1 Flash | DeepSeek V4 Flash |
|---|---|---|
| Image input | Reads images together with text in the same conversation. | Text only; images have to be described or handled by another model. |
| Structured output | No response-schema support, so output should be validated in your code. | Supports response schemas for JSON that must match a structure. |
| Place in the line | The September 2026 update, which DeepSeek introduced to replace earlier V4 Flash variants. | The original V4 Flash from the April 2026 V4 release, which the V4.1 update succeeds. |
| Agent behaviour | Can inspect an interface, interpret it and continue a multistep task. | Handles tool-driven loops on text, with no way to look at the result visually. |
| Shared base | Thinking mode, tool calls and prompt caching. | The same three features, so text prompts carry over. |
Summary
- DeepSeek V4.1 Flash: Input $0.15 / Output $0.60 per 1M tokens; DeepSeek V4 Flash: Input $0.15 / Output $0.60 per 1M tokens. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.
FAQ
Is DeepSeek V4.1 Flash better than V4 Flash?
It is the newer model and adds image understanding, so it is the better fit for visual tasks. For text-only work with schema-constrained JSON, V4 Flash still does something V4.1 Flash does not.
Can V4.1 Flash replace V4 Flash without prompt changes?
For text prompts, usually yes, since both use the same tools and thinking controls. Check any step that relies on a response schema, and re-run your tests before switching production traffic.
Which one should a coding agent use?
Use V4.1 Flash if the agent has to inspect screenshots or rendered output. Use V4 Flash if the agent works only from code, logs and text, and you want schema-checked JSON.
Do I need DeepSeek V4 Pro instead of either?
Only for the hardest reasoning and coding jobs. Both Flash models are the smaller tier; DeepSeek positions V4 Pro above them for demanding agentic coding and knowledge work.
Which is cheaper, DeepSeek V4.1 Flash or DeepSeek V4 Flash?
DeepSeek V4.1 Flash: Input $0.15 / Output $0.60 per 1M tokens; DeepSeek V4 Flash: Input $0.15 / Output $0.60 per 1M tokens. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.
What are the key differences between DeepSeek V4.1 Flash and DeepSeek V4 Flash?
DeepSeek V4.1 Flash: Vision, Reasoning
Sources
Reviewed Oct 2, 2026