DeepSeekGeneralReleased 29 September 2025

DeepSeek V3.2 Exp pricing, context and benchmark

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures.

164K
Input context
147K
Output context
$0.27
Official input
$0.41
Official output
n/a
AA index

Everything that matters, in one table

Context, pricing, cache, modalities and tooling, from the model registry and Artificial Analysis.

ModelDeepSeek V3.2 Exp
Model IDdeepseek/deepseek-v3.2-exp
ProviderDeepSeek
Release date29 September 2025
StatusGenerally available
Input context163,840 tokens
Output context147,456 tokens
Official input pricing$0.27 per 1M tokens
Official output pricing$0.41 per 1M tokens
Cache read pricingNot published
Market input pricing$0.27 per 1M (cheapest route)
Market output pricing$0.41 per 1M (cheapest route)
Reasoning tokensBilled as output at $0.41 per 1M
Input modalitiestext
Output modalitiestext
Reasoning controlYes, effort levels exposed
Tool supportFunctions, tool choice, structured outputs
TokenizerDeepSeek
Provider routes1 endpoint
Artificial Analysis indexNot published
SpeedNot published
Knowledge cutoffNot publicly stated

Input and output support

ModalityInputOutputBilled at
Text✓ yes✓ yes$0.27 in
Imagenononot supported
Audionononot supported
Videonononot supported
File (PDF)nononot supported

What is DeepSeek V3.2 Exp?

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures.

It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

DeepSeek V3.2 Exp carries a 164K token window, uses the DeepSeek tokenizer and is served by DeepSeek. On Hoodgen it sits in the General tier of the model menu next to its siblings, so you can switch mid conversation without losing the thread.

Release and what changed from the previous version

Released29 September 2025
PropertyDeepSeek V3.1 TerminusDeepSeek V3.2 ExpChange
Released20252025Same release window
Context164K164KUnchanged
Max output147K147KUnchanged
Input price$0.27$0.27Unchanged
Output price$1$0.41Cheaper
Input modalitiestexttextUnchanged
AA indexn/an/aNewer benchmark run

Features and capabilities

◈
Thinking control
Reasoning effort can be dialled per request, so one model covers deep analysis and fast chat.
⚙
Function calling
Tools, tool choice and parallel calls, which is what agent loops need to act on results.
{ }
Structured outputs
Schema constrained JSON with response_format, so no parse and retry loop in your code.

Thinking and reasoning capabilities

DeepSeek V3.2 Exp can think before answering and exposes the effort level per request. Reasoning tokens bill as output at $0.41 per million, and the trace can be returned with include_reasoning.

LevelFirst tokenCost per taskBest for
Measuredn/an/aArtificial Analysis measures the default reasoning configuration
Low effortFasterLowerChat, autocomplete, classification
High effortSlowerHigherDebugging, planning, multi step agents

What can you do with DeepSeek V3.2 Exp?

Everyday writing
Drafts, rewrites, summaries and replies.
Research
Source material condensed with the key numbers kept.
Chat
General questions where latency and cost both matter.
Tooling inside Hoodgen
Writer, Humanizer, Coding and the rest of the tool suite.

DeepSeek V3.2 Exp pricing

Official pricing

List price
$0.27 / 1M in
$0.41 / 1M out
  • 164K context
  • text input
Cheapest route
$0.27 / 1M in
$0.41 / 1M out
  • 1 route on OpenRouter
  • What Hoodgen routes to first
  • Same model, lower bill

Market pricing, every route

ProviderTierInputOutputCache readUptime 24h
SiliconFlowstandard$0.27$0.41n/a100.0%

API pricing and cost calculator

RatePer callTotalCredits
Cheapest route$0.0060$3.012858
List price$0.0060$3.012858

API and developer information

Model IDdeepseek/deepseek-v3.2-exp
Endpointhttps://openrouter.ai/api/v1/chat/completions
Parametersfrequency_penalty · include_reasoning · max_tokens · reasoning · response_format · structured_outputs · temperature · tool_choice · tools · top_k · top_p
StreamingYes, server sent events
Modality stringtext->text
Max prompt tokens163,840
Max completion tokens147,456
curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek/deepseek-v3.2-exp",
    "messages": [{ "role": "user", "content": "Summarise this document." }],
    "max_tokens": 1024
  }'

Model limitations

Text only outputIt cannot generate images, audio or video. Pair it with an image model on Hoodgen when you need visuals.
Output cap147,456 tokens per request. Long deliverables have to be chunked.
Benchmarks not publishedArtificial Analysis does not publish an Intelligence Index for this release, so no benchmark score is claimed here.
Knowledge cutoffThe provider does not state a fixed cutoff for every release. Verify very recent events against search.

DeepSeek V3.2 Exp vs other DeepSeek models

ModelContextInput /1MOutput /1MAA indexReleased
DeepSeek V3.2 Exp164K$0.27$0.41n/a2025
DeepSeek V4 Pro1.05M$0.9$1.5232026
DeepSeek V3.1 Terminus164K$0.27$1n/a2025
DeepSeek V3 0324164K$0.25$1n/a2025
DeepSeek V3.2164K$0.209$0.31n/a2025
DeepSeek V4.1 Flash 10171.05M$0.038$0.533Oct 2026

Privacy and data policy

  • On Hoodgen, prompts and attachments answer that request and stay in your conversation history so you can reopen it. They are not used to train models.
  • Requests route through OpenRouter to DeepSeek and are covered by that provider's API terms.
  • Do not paste secrets or personal data you would not send to any hosted model.

DeepSeek V3.2 Exp questions, answered

DeepSeek V3.2 Exp is a general model from DeepSeek, released 29 September 2025. DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures.
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Start chatting with DeepSeek V3.2 Exp

Free to try on Hoodgen AI, with a live credit estimate before every send. No API key, no setup.