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DeepSeek V4 Flash 0731

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deepseek-v4-flash-0731
Model Type V4.10731

DeepSeek V4 Flash 0731 is the 0731 snapshot of V4 Flash: the version is pinned and does not move with upstream updates, which suits workloads whose prompts are tuned for V4 Flash and need stable, reproducible output. Thinking is on by default (the reasoning comes back in reasoning_content) and thinking={"type":"disabled"} switches it off; tool calling and streaming are supported. Fully OpenAI-compatible: set model to deepseek-v4-flash-0731. Same price as V4.1.

ChatPinned versionThinking modeTool callingOpenAI compatible
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About DeepSeek V4 Flash 0731

DeepSeek V4 Flash 0731 is the 0731 pinned snapshot of DeepSeek V4 Flash, served on NezhaGate through the OpenAI-compatible API. The version is locked and does not change with upstream model updates, which suits workloads whose prompts are tuned for V4 Flash and that need stable, reproducible output. It thinks before it answers by default, with the reasoning in message.reasoning_content; send thinking={"type":"disabled"} to turn thinking off. Tool calling and streaming are supported. Set model to deepseek-v4-flash-0731; pay-as-you-go, failed calls never billed.

Use cases

Stable production workloads

Live services whose prompts are tuned for V4 Flash and must not change behaviour when the model is updated.

Evaluation and regression tests

A pinned version keeps A/B evaluations and regression comparisons honest: any difference comes from your own changes.

Bulk extraction and classification

Batch jobs that need consistent output formats can run with thinking off for direct structured results.

Tool-calling pipelines

Keep call behaviour steady inside agent and function-calling flows, with fewer surprises from upstream upgrades.

How to choose

Choose V4.1 for DeepSeek's latest Flash model, and 0731 when you need a pinned version with reproducible output. Both cost the same, and switching is just the model field.

FAQ

What does 0731 mean?
It is the version tag of a pinned DeepSeek V4 Flash snapshot. A snapshot stays fixed, which suits workloads that need long-term stable behaviour; for the newest version choose DeepSeek V4.1 Flash.
Is it the same price as V4.1 Flash?
Yes. Both cost the same on NezhaGate, with one flat price around the clock and no peak-hour rate, billed on actual token usage.
How do I turn thinking off?
Add "thinking": {"type": "disabled"} to the request to skip the reasoning step and answer directly. Thinking is on when the field is omitted, and the reasoning comes back in reasoning_content.
What happens with a very small max_tokens?
This is a thinking model, so reasoning tokens count as output. Upstream treats a max_tokens below 1024 as 1024, so the output (reasoning included) can exceed the value you set, and you are billed for the actual tokens in usage. For short answers, turn thinking off.
Am I charged for failed calls?
No. Only calls that return normally are settled, at actual usage; upstream errors and timeouts never touch your balance.

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