DeepSeek V3.1 model profile
Evidence snapshot:
DeepSeek V3.1 is a DeepSeek model profile with a 163,840-token context window. The dated catalog snapshot records text modalities and interfaces for prompt caching, reasoning controls, structured output, text generation, tool calling.
DeepSeek V3.1 is an independent knowledge profile. It does not claim that Kendr hosts the model, quote a Kendr customer price, promise API availability, or advertise a Kendr routing receipt.
DeepSeek V3.1 accepts text and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, and tool calling as capabilities or interfaces.
The dated reference snapshot lists $0.25 input and $0.95 output per million tokens. Cached input is $0.13 per million tokens.
The 2026-08-12 snapshot includes 7 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.
DeepSeek V3.1 ranked #82 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.
Profile data was reviewed for the 2026-08-12 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.
Profile facts
- Profile type
- Model research profile
- Provider or publisher
- DeepSeek
- Context window
- 163,840 tokens
- Snapshot date
- 2026-08-12
- Reference catalog ID
- deepseek/deepseek-chat-v3.1
Context, modalities, and identity
DeepSeek V3.1 accepts text and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, and tool calling as capabilities or interfaces.
- Provider or publisher
- DeepSeek
- Context window
- 163,840 tokens
- Maximum output
- 32,768 tokens
- Input modalities
- text
- Output modalities
- text
- Knowledge cutoff
- 2025-03-31
Capabilities and supported controls
Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.
- Supported parameters
- frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
- prompt caching
- reasoning controls
- structured output
- text generation
- tool calling
Dated pricing snapshot
The dated reference snapshot lists $0.25 input and $0.95 output per million tokens. Cached input is $0.13 per million tokens.
These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price.
- Price date
- 2026-08-12
- Input
- $0.25 per 1M tokens
- Cached input
- $0.13 per 1M tokens
- Output
- $0.95 per 1M tokens
Benchmark evidence and limitations
The 2026-08-12 snapshot includes 7 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.
Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.
| Design Arena category | Elo | Win rate | Rank |
|---|---|---|---|
| 3d | 1131 | 48% | #75 |
| codecategories | 1138 | 47.9% | #79 |
| dataviz | 1125 | 46.8% | #78 |
| gamedev | 1125 | 47.1% | #77 |
| svg | 1012 | 38.2% | #75 |
| uicomponent | 1118 | 47.6% | #77 |
| website | 1143 | 48% | #78 |
Popularity and market context
DeepSeek V3.1 ranked #82 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.
- Third-party catalog rank
- #82
- Global market share
- Not inferred
- Observation date
- 2026-08-12
Frequently asked questions
What is DeepSeek V3.1?
DeepSeek V3.1 is a DeepSeek model profile with a 163,840-token context window. The dated catalog snapshot records text modalities and interfaces for prompt caching, reasoning controls, structured output, text generation, tool calling.
What context window does DeepSeek V3.1 have?
The dated profile lists 163,840 tokens of context and up to 32,768 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits.
What benchmark evidence is available for DeepSeek V3.1?
The 2026-08-12 snapshot includes 7 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.
Is DeepSeek V3.1 available through Kendr?
This is an independent knowledge profile, not a Kendr-hosted availability claim. Check Kendr's live public model API for currently enabled Kendr aliases.
Does the popularity rank represent DeepSeek V3.1's global market share?
DeepSeek V3.1 ranked #82 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share. No global market-share percentage is inferred when the source does not publish one.
Sources and evidence dates
- DeepSeek V3.1 third-party catalog record (catalog, checked 2026-08-12)
- Third-party model catalog methodology (methodology, checked 2026-08-12)
- DeepSeek official model documentation (primary, checked 2026-08-12)
- Design Arena leaderboard and methodology (benchmark, checked 2026-08-12)