llmboard.aiAI model intelligence
Home

Model Rankings

OverallOpen ModelsAgentCodingReasoningMathKnowledgeInstruction FollowingTextVision
Image GenerationImage Editing
Video GenerationImage to VideoVideo Editing
Text to SpeechSpeech to Text
Embeddings

Efficiency

Chat Token PricingImage PricingVideo PricingAudio Pricing
Chat Speed & LatencyProvider Reliability

Benchmarks

GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-Pro
All Benchmarks

Tools

Model Directory

Scoring & Data

Scoring & Data
1224 models729 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll Benchmarks
llmboard.aiCopyright 2026 llmboard.ai

DeepSeek model product

DeepSeek-V3.2

2 is a DeepSeek large language model with a specialized variant for specific tasks.

Updated Sep 8, 2026. Default version: DeepSeek-V3.2-Speciale

LLMBoard Score56.6DeepSeek-V3.2-Speciale
Coverage40%8 benchmark families
Context window131.1KTokens
Official input priceN/AOfficial price unavailable

On this page

  • Capability
  • Benchmarks
  • Arena
  • Pricing
  • Runtime
  • Specification
  • Versions
  • Similar models
  • About
  • FAQ

DeepSeek-V3.2 Capability Profile

This profile uses the model's current scored version. Arena ratings and prices are shown separately.

DeepSeek-V3.2-Speciale LLMBoard score breakdown

DeepSeek-V3.2 Benchmark Results

Benchmark scores for DeepSeek-V3.2-Speciale.

8 rows
Columns

Show columns

Sort by
Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkHMMT 2025Score99.20%Rank03Participants33Percentile93.75%EvidenceCEvaluatedSep 8, 2026
BenchmarkCodeForcesScore90.00%Rank04Participants17Percentile81.25%EvidenceCEvaluatedSep 8, 2026
Benchmarkt2-benchScore80.30%Rank09Participants23Percentile63.64%EvidenceCEvaluatedSep 8, 2026
BenchmarkAIME 2025Score96.00%Rank20Participants119Percentile83.90%EvidenceCEvaluatedSep 8, 2026
BenchmarkToolathlonScore35.20%Rank39Participants41Percentile5.00%EvidenceCEvaluatedSep 8, 2026
BenchmarkTerminal-Bench 2.0Score46.40%Rank40Participants51Percentile22.00%EvidenceCEvaluatedSep 8, 2026
BenchmarkSWE-Bench VerifiedScore73.10%Rank50Participants113Percentile56.25%EvidenceCEvaluatedSep 8, 2026
BenchmarkHumanity's Last ExamScore30.60%Rank52Participants103Percentile50.00%EvidenceCEvaluatedSep 8, 2026

DeepSeek-V3.2 Arena Results

Preference and agent-evaluation results for the default version.

No Arena results

The default version does not have a matching Arena result yet.

DeepSeek-V3.2 Pricing

Official vendor API pricing appears first, followed by individual provider offers.

Official API
N/A
Official provider
N/A
Lowest third-party
From $0.58 input, $1.68 output per 1M via Azure Cognitive Services
Tracked offerings
2
2 rows
Columns

Show columns

Sort by
Provider
Provider model ID
Region
Input / 1M
Output / 1M
Context
Updated
ProviderAzure Cognitive ServicesProvider model IDdeepseek-v3.2-specialeRegionglobalInput / 1M$0.58Output / 1M$1.68Context128KUpdatedSep 8, 2026
ProviderAzureProvider model IDdeepseek-v3.2-specialeRegionglobalInput / 1M$0.58Output / 1M$1.68Context128KUpdatedSep 8, 2026

Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.

DeepSeek-V3.2 Runtime Performance

Provider-specific output speed and catalog latency for DeepSeek-V3.2-Speciale. Runtime does not affect the capability score.

1 row
Columns

Show columns

Sort by
Provider
Output Speed
Catalog Latency
Max Input
Max Output
Updated
ProviderDeepSeekOutput Speed30.00 tok/sCatalog Latency1.00 sMax Input131.1KMax Output131.1KUpdatedSep 8, 2026

Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.

DeepSeek-V3.2 Specifications

Technical details for the model's default version.

Version
DeepSeek-V3.2-Speciale
Released
Dec 1, 2025
Knowledge cutoff
Unknown
Parameters
685B
Context window
131.1K
Max output
131.1K
Inputs
text
Outputs
text
Open weights
No
License
MIT

DeepSeek-V3.2 Versions

Available versions of this model. The score column identifies the version used in the overall ranking.

5 rows
Columns

Show columns

Sort by
Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
VersionDeepSeek-V3.2ReleasedDec 1, 2025LLMBoardN/AParameters685BContext163.8KMax output163.8KOpen weightsYesLicenseMIT
VersionDeepSeek-V3.2 (Non-thinking)ReleasedDec 1, 2025LLMBoardN/AParameters685BContext131.1KMax output8.2KOpen weightsYesLicenseMIT
VersionDeepSeek-V3.2 (Thinking)ReleasedDec 1, 2025LLMBoardN/AParameters685BContext131.1KMax output65.5KOpen weightsYesLicenseMIT
VersionDeepSeek-V3.2-SpecialeReleasedDec 1, 2025LLMBoard56.64Parameters685BContext131.1KMax output131.1KOpen weightsNoLicenseMIT
VersionDeepSeek-V3.2-ExpReleasedSep 29, 2025LLMBoardN/AParameters685BContext163.8KMax output65.5KOpen weightsYesLicenseMIT

Models similar to DeepSeek-V3.2

Recommendations prioritize the same model type and family, then the closest LLMBoard score.

#134-13.99
DE

DeepSeek-R1

DeepSeek

42.65 LLMBoard

Details
#149-17.59
DE

DeepSeek-V3.1

DeepSeek

39.05 LLMBoard

Details
#30+20.02
DE

DeepSeek-V4-Flash

DeepSeek

76.66 LLMBoard

Details
#11+30.14
DE

DeepSeek-V4-Pro

DeepSeek

86.78 LLMBoard

Details
#194-31.66
DE

DeepSeek-V3

DeepSeek

24.98 LLMBoard

Details
#229-42.26
DE

DeepSeek-R1-Distill-Qwen

DeepSeek

14.38 LLMBoard

Details

What is DeepSeek-V3.2?

Key information about DeepSeek-V3.2 and its available data.

2 is a large language model from DeepSeek. 2-Speciale is a specialized variant optimized for enhanced performance on specific tasks.

Data as of 2026-09-08.

FAQ

Common questions about DeepSeek-V3.2.

When was DeepSeek-V3.2 released?

DeepSeek-V3.2's default version was released on Dec 1, 2025.

How much does DeepSeek-V3.2 cost?

No official standard PAYG price is currently available for DeepSeek-V3.2. The lowest tracked third-party offer starts at $0.58 input and $1.68 output via Azure Cognitive Services.

Who created DeepSeek-V3.2?

DeepSeek-V3.2 was created by DeepSeek.

What is the context window for DeepSeek-V3.2?

The default version has a 131.1K token context window.

Is DeepSeek-V3.2 open weight?

No. The default version is not marked as having publicly available weights.

How many API providers offer DeepSeek-V3.2?

2 provider offerings are linked to the default version.