Updated 2026-06-30
DeepSeek Temperature Parameter Guide: use the official range for the actual task
Many prompt guides talk about temperature as if it were taste. DeepSeek's official page is more concrete: it gives a default of `1.0` and then publishes recommended values for coding, math, data analysis, conversation, translation, and creative writing. That makes temperature a support topic with a real first-party baseline rather than endless folklore.
1. Start from DeepSeek's official default, not from another provider's habit
DeepSeek's official parameter page says the default `temperature` value is `1.0`. That is the baseline to remember before you start cargo-culting `0`, `0.2`, or `1.5` from unrelated tutorials.
The more useful interpretation is practical: if a workload already behaves well at the default, you do not need to change it just because a community thread says every coding model should be colder by default.
Sources checked
- DeepSeek official Temperature Parameter page - Primary source for the default value and official per-task recommendations.
2. Use the official task table before inventing your own scale
DeepSeek does not leave the reader guessing. The official table recommends `0.0` for coding and math, `1.0` for data cleaning and data analysis, `1.3` for general conversation, `1.3` again for translation, and `1.5` for creative writing or poetry.
That table is useful because it separates deterministic workloads from expressive ones. A coding patch, SQL fix, or numeric derivation usually benefits from lower variance, while translation and open conversation can tolerate more variation without becoming wrong by definition.
| Use case | Temperature | Why it fits |
|---|---|---|
| Coding / Math | 0.0 | Minimize variance for deterministic output |
| Data Cleaning / Data Analysis | 1.0 | Use the platform default |
| General Conversation | 1.3 | Allow more natural variation |
| Translation | 1.3 | Balance fluency with consistency |
| Creative Writing / Poetry | 1.5 | Allow the widest stylistic variation |
3. For coding workflows, keep temperature at 0.0 until you have a reason not to
DeepSeek explicitly recommends `0.0` for coding and math. That makes it the clean default for bug fixes, code transforms, test generation, and bounded agent steps where drift is more expensive than personality.
If your next problem is schema discipline rather than sampling variance, pair this with `/guides/deepseek-json-output-guide` or `/guides/deepseek-thinking-mode-tool-calls`. Temperature does not replace those contracts.
{
"model": "deepseek-v4-pro",
"messages": [
{ "role": "user", "content": "Refactor this SQL query without changing behavior." }
],
"temperature": 0.0
}4. Use 1.3 for translation and conversation only when variation helps
DeepSeek's own table groups general conversation and translation at `1.3`. That does not mean every production translation pipeline should run loose forever. It means the official baseline allows more fluency than strict coding routes do.
If your translation or chat workflow starts drifting too much, bring the prompt under tighter structural control first and then decide whether the task truly needs the warmer setting. Temperature is one lever, not the whole reliability story.
5. Treat 1.5 as a creative-writing lane, not as a universal upgrade
The highest official recommendation on the page is `1.5`, and DeepSeek reserves it for creative writing and poetry. That is a narrow endorsement, not a sign that every app should 'sound more human' by turning the knob up.
For buyer and support pages, the safer pattern is to keep utilitarian routes cold and reserve high-temperature settings for content ideation, fiction, slogan exploration, and other tasks where novelty is the point rather than a side effect.
If your real problem is prompt size or budget rather than sampling style, continue with `/guides/deepseek-v4-pricing-per-million-tokens` or `/guides/deepseek-context-caching-hit-rules` instead of adjusting temperature blindly.
FAQ
What is the default DeepSeek temperature?
DeepSeek's official page says the default `temperature` value is `1.0`.
What temperature does DeepSeek recommend for coding?
DeepSeek officially recommends `0.0` for coding and math tasks.
What temperature does DeepSeek recommend for translation?
DeepSeek's official table lists `1.3` for translation.
Should I use 1.5 for every DeepSeek task?
No. DeepSeek reserves `1.5` for creative writing and poetry, not for general coding or production support flows.
Does changing temperature create a new DeepSeek product on /pricing?
No. Temperature is an API request parameter only. It does not imply a new stocked plan card or inventory change.
The practical DeepSeek temperature rule is simple: keep coding and math at `0.0`, trust `1.0` as the default, move to `1.3` when fluency matters, and reserve `1.5` for genuinely creative tasks instead of treating warmth as a universal quality boost.
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