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ModelAnnounced

DeepSeek V3.1

DeepSeekfamily · DeepSeek-V3chat.deepseek.com

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

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data quality68

Updated 5 h ago · first seen 11 Sept 2026

model_01M294WWCNME74MRVVP3J0Y4C3

Overview

Identity

Identity block not returned by the API for this entity.

Openness

Openness not classified yet — no sourced evidence to place this model in the ontology.

Key facts

Release date

Source:DeepSeek — site & API docsT2observed 14 h agomediumLLM-extracted

Status

Source:DeepSeek — site & API docsT2observed 14 h agomediumLLM-extracted

Version

Source:DeepSeek — site & API docsT2observed 14 h agomediumLLM-extracted

Knowledge cutoff

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Official page
chat.deepseek.com

Source:DeepSeek — site & API docsT2observed 14 h agomediumLLM-extracted

Repository
huggingface.co/deepseek-ai/DeepSeek-V3.1-Base

Source:DeepSeek — site & API docsT2observed 14 h agomediumLLM-extracted

Openrouter id

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Architecture

Architecture

Source:DeepSeek — site & API docsT2observed 14 h agomediumLLM-extracted

Parameters

Source:DeepSeek — site & API docsT2observed 14 h agomediumLLM-extracted

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Hugging Face repo

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Capabilities

Modalities

Modalities
text
Input
text
Output
text

Capabilities

  • Tool calling

    Yes

    OpenRouter public model & pricing listing · T2

  • Structured output

    Yes

    OpenRouter public model & pricing listing · T2

  • Reasoning

    Yes

    OpenRouter public model & pricing listing · T2

  • Vision

    Unavailable

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Context window

Source:OpenRouter public model & pricing listingT2observed 5 h agomedium

Max output

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Knowledge cutoff

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Benchmarks6

Compare with another model →

Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric

No benchmark results recorded

Results appear when a tier 1–3 source publishes them; we never copy scores without a source.

Providers & Pricing1

All offers in the price terminal →
Current prices per 1M tokens
ProviderInput / 1MOutput / 1MCached inBatch in / outContextObservedSource
DeepSeek APIdeepseek/deepseek-chat-v3.1$0.25$0.95$0.13—163.8K5 h agoopenrouter.aiT2

USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.

Price history

Step lines per provider; amber markers are recorded changes. Click a marker or a row for the evidence behind that price.

Output price · USD / 1M tokens 1 provider

Output price history of DeepSeek V3.1$0$0.20$0.40$0.60$0.80$1$1.2Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26DeepSeek API: first observed → $0.95 · 11 Sept 2026
  • DeepSeek API
  • DeepSeek APIfirst observed $0.9511 Sept 2026

Input price · USD / 1M tokens 1 provider

Input price history of DeepSeek V3.1$0$0.10$0.20$0.30Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26DeepSeek API: first observed → $0.25 · 11 Sept 2026
  • DeepSeek API
  • DeepSeek APIfirst observed $0.2511 Sept 2026

Hardware fit37

Estimated

3 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit—483.5 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit—483.5 GB est.Yes
NVIDIA DGX B2004bit1,440 GB483.5 GB est.Yes
Apple M2 Ultra4bit—483.5 GB est.No
Apple M1 Ultra4bit—483.5 GB est.No
Apple M3 Max4bit—483.5 GB est.No
Apple M4 Max4bit—483.5 GB est.No
Mac Studio (Apple M5 Max)4bit—483.5 GB est.No
MacBook Pro (Apple M5 Max)4bit—483.5 GB est.No
Apple M2 Max4bit—483.5 GB est.No
Apple M1 Max4bit—483.5 GB est.No
Apple M4 Pro4bit—483.5 GB est.No
Mac mini (Apple M5 Pro)4bit—483.5 GB est.No
MacBook Pro (Apple M5 Pro)4bit—483.5 GB est.No
Apple M3 Pro4bit—483.5 GB est.No
Apple M1 Pro4bit—483.5 GB est.No
Apple M2 Pro4bit—483.5 GB est.No
Apple M44bit—483.5 GB est.No
iMac (Apple M4)4bit—483.5 GB est.No
Mac mini (Apple M6)4bit—483.5 GB est.No
MacBook Air (Apple M5)4bit—483.5 GB est.No
MacBook Pro (Apple M5)4bit—483.5 GB est.No
Apple M24bit—483.5 GB est.No
Apple M34bit—483.5 GB est.No
Apple M14bit—483.5 GB est.No
NVIDIA GeForce RTX 30904bit24 GB483.5 GB est.No
NVIDIA GeForce RTX 40904bit24 GB483.5 GB est.No
NVIDIA GeForce RTX 50904bit32 GB483.5 GB est.No
NVIDIA A100 80GB4bit80 GB483.5 GB est.No
NVIDIA H100 SXM4bit80 GB483.5 GB est.No
NVIDIA H100 NVL4bit94 GB483.5 GB est.No
NVIDIA DGX Spark4bit128 GB483.5 GB est.No
NVIDIA H2004bit141 GB483.5 GB est.No
NVIDIA H200 NVL4bit141 GB483.5 GB est.No
NVIDIA B2004bit180 GB483.5 GB est.No
AMD Instinct MI300X4bit192 GB483.5 GB est.No
AMD Instinct MI325X4bit256 GB483.5 GB est.No
Assumptions (6)
  • Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead.
  • bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
  • KV cache approximated at 0.5 GB per 8 192 tokens of context, independent of architecture (GQA/MLA models need less).
  • A model 'fits' when the estimate is at most the device memory minus 2 GB reserved for the OS and framework.
  • Mixture-of-experts models are estimated on total parameters (all experts must be resident); active parameters are ignored.
  • Device memory uses the largest configuration when several are listed (e.g. Apple silicon tiers).

Timeline14

Full timeline →

Change history22

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.

Viewing AI Atlas as of 12 Mar 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

Back to today →

DeepSeek V3.1 was not yet in AI Atlas on 12 Mar 2026

First seen 11 Sept 2026. Nothing is inferred backwards: no attribute is shown for dates before the first observation.
22 claims · 18 properties

Release daterelease_date1

Claim history for Release date
ValueValid from → toStatusSourceConfidenceExtractor
21 Aug 2025 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Statusstatus1

Claim history for Status
ValueValid from → toStatusSourceConfidenceExtractor
deprecated → currentcurrentArtificial AnalysisT2mediumdeterministic

Opennessopenness1

Claim history for Openness
ValueValid from → toStatusSourceConfidenceExtractor
open-weights → currentcurrentArtificial AnalysisT2mediumdeterministic

Context windowcontext_length3

Claim history for Context window
ValueValid from → toStatusSourceConfidenceExtractor
163.8K tokens → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic
128K tokens → supersededArtificial AnalysisT2mediumdeterministic
163.8K tokens → supersededOpenRouter public model & pricing listingT2mediumdeterministic

Max outputmax_output_tokens1

Claim history for Max output
ValueValid from → toStatusSourceConfidenceExtractor
32.8K tokens → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Knowledge cutoffknowledge_cutoff1

Claim history for Knowledge cutoff
ValueValid from → toStatusSourceConfidenceExtractor
Mar 2025 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Modalitiesmodalities1

Claim history for Modalities
ValueValid from → toStatusSourceConfidenceExtractor
text → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Input modalitiesmodalities_input1

Claim history for Input modalities
ValueValid from → toStatusSourceConfidenceExtractor
text → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Output modalitiesmodalities_output1

Claim history for Output modalities
ValueValid from → toStatusSourceConfidenceExtractor
text → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Tokenizertokenizer1

Claim history for Tokenizer
ValueValid from → toStatusSourceConfidenceExtractor
DeepSeek → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Hugging Face repohf_repo1

Claim history for Hugging Face repo
ValueValid from → toStatusSourceConfidenceExtractor
deepseek-ai/DeepSeek-V3.1 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Descriptiondescription1

Claim history for Description
ValueValid from → toStatusSourceConfidenceExtractor
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context... → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Instruct typeinstruct_type1

Claim history for Instruct type
ValueValid from → toStatusSourceConfidenceExtractor
deepseek-v3.1 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Openrouter idopenrouter_id1

Claim history for Openrouter id
ValueValid from → toStatusSourceConfidenceExtractor
deepseek/deepseek-chat-v3.1 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Reasoningreasoning3

Claim history for Reasoning
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic
No → supersededArtificial AnalysisT2mediumdeterministic
Yes → supersededOpenRouter public model & pricing listingT2mediumdeterministic

Structured outputstructured_output1

Claim history for Structured output
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Supported parameterssupported_parameters1

Claim history for Supported parameters
ValueValid from → toStatusSourceConfidenceExtractor
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 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Tool callingtool_calling1

Claim history for Tool calling
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

25

Source tiers

T225

Freshest observation

5 h ago

Conflicts

None

Source documents 3

Source documents
SourceDocumentTypeTierLast observedSnapshots
DeepSeek — site & API docsapi-docs.deepseek.com/news/news250821 newsT1· Official14 h ago1
OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary5 h ago6
Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· Quality secondary12 h ago1

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (68/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →