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ModelCap

DeepSeek V3.2 Exp

All-versions archive #63Arena #105Open weights

DeepSeek·deepseek/deepseek-v3.2-exp

DeepSeek V3.2 Exp is a language model published by DeepSeek. 3 OpenRouter endpoints are published in the latest snapshot. It accepts text input and returns text. The published context limit is 164K tokens. The catalogue declares support for reasoning, tool use, structured outputs.

ModelCap Index · All-versions archive
70.5#63
Measured · 81% support · score interval 70.5–77.5
Market Gravity
42.9
Secondary market signal

Superseded by DeepSeek V3.2. It no longer holds a current-board position; its all-versions archive rank is #63.

Input
$0.27
per 1M tokens
Output
$0.41
per 1M tokens
Context
164K
tokens
Providers
3
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Novitafp8Cheapest$0.27$0.41164Kfp899.94%
SiliconFlowfp8$0.27$0.41164Kfp899.45%
AtlasCloudfp8$0.27$0.41164Kfp899.43%

Hugging Face Inference Providers

Exact repository identity

Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.

ProviderInputOutputContextTTFTThroughputFeatures
novita
live
$0.27$0.41164K1138 ms30.4 tok/stools · structured

Reasoning efforts

Best supported result can inform ModelCap

Published Max, X-High, High and other configurations for this model. These are sourced scores, not head-to-head essays.

Related community configurations

Human preference rating
ConfigurationRatingSource rankVotesSource
Thinking
deepseek-v3.2-exp-thinking
1425
CI 1418–1431
#1009KArena
Match 100%

Reported evaluation leads (1)

Excluded from score

Structured rows reported in this exact model repository at the pinned revision below. They are useful research leads, but remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
LEXam-Benchmark/LEXam
open_question
56.53
Unpinned
not published
Reported
Quarantined

Other versions (4)

ModelCap Index · All-versions archive

Methodology
70.5
Measured · 3 public benchmark observations across 3 boards
All-versions archive
#63
Public rank basis
Measured (measured)
Index support
80.7% · strong
Index interval
70.5–77.5
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Identity binding
Exact catalogue product · deepseek/deepseek/deepseek-v3.2-exp/fp8 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata deepseek-ai/DeepSeek-V3.2-Exp@194c67e12b1b0d6df0ef373ddcf215bc84027409 (not the evaluation revision)
Direct benchmark observations
3
Breadth-adjusted BES point estimate
74.0
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
74.0
Evidence status
confirmed · 93% mass
General preference
73.1
Coding
76.1
Agents & tools
81.4
Reasoning
Evidence breadth
97%
Evidence coverage
81%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
19.2
Liquidity (providers × uptime)
84.8
Open reach (HF downloads)
64.3
Surface (context / tools / modalities)
71.8
Freshness
30.4
  • · OpenRouter popularity #100
  • · 3 live providers
  • · HF 30d downloads 214096
  • · Catalogue: context 163840, reasoning, tools
  • · First seen 2025-09-29

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

BES evidence selected · measured input only

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Deployment readiness

Metadata index
94.6
strong · 98% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
100.0
Deployability
99.9
Evaluation provenance
73.1

Missing: evaluationProvenance.evaluation-dataset-revisions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
42.9
OpenRouter weekly popularity
#100 of 298

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

Status
Ranked
Source
Arena
Official rank
#105 of 385
Rating
1422.5
95% confidence interval
1416–1429
Votes
12K
Source snapshot
6 Aug 2026, 13:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
19.2

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
84.8

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
64.3

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
30.4

Time since first public availability, on a six-month half-life.

Specification

Context window
164K tokens
Max output
66K tokens
Inputs
Text
Outputs
Text
Tokenizer
DeepSeek
Cached input tokens
Not offered
First seen on OpenRouter
29 Sept 2025
Knowledge cutoff
2025-07-31

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Weights & access

Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.

Access
Open weights
Licence
mit
Pinned revision
194c67e12b1b
Parameters
685.4B
Architecture
DeepseekV32ForCausalLM
Model type
deepseek_v32
Hugging Face downloads (30d)
214K
Downloads (all time)
1.4M
Likes
993
Repository updated
18 Nov 2025, 02:39 UTC