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DeepSeek V3.1 vs DeepSeek V3.2 Exp

DeepSeek V3.1

DeepSeek

73#85
vs
DeepSeek V3.2 Exp

DeepSeek

73#84
Signal-by-Signal Comparison
SignalDeepSeek V3.1DeltaDeepSeek V3.2 Exp
Capabilities
67
--
67
Benchmarks
69
-1
70
Pricing
99
0
100
Context window size
75
--
75
Recency
73
-7
80
Output Capacity
75
-5
80
Overall Result
0 wins
of 6
4 wins
DeepSeek V3.2 Exp wins 4 of 6 signals

Score History

Score History (22 data points)
DeepSeek V3.1DeepSeek V3.2 Exp
DeepSeek V3.1

72.9

current score

Leader

Tied

right now

DeepSeek V3.2 Exp

72.9

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

DeepSeek V3.1

DeepSeek

Per request$0.000725
Daily$2.42
Monthly$72.50
Annual$870.00

DeepSeek V3.2 Exp

DeepSeek

Best Value
Per request$0.000475
Daily$1.58
Monthly$47.50
Annual$570.00

DeepSeek V3.2 Exp saves you $25.00/month

That's $300.00/year compared to DeepSeek V3.1 at your current usage level of 100K calls/month.

34% cheaper
Choose DeepSeek V3.2 Exp for cost optimization

DeepSeek V3.1 pricing:
Input:$0.25/M tokens
Output:$0.95/M tokens
DeepSeek V3.2 Exp pricing:
Input:$0.27/M tokens
Output:$0.41/M tokens
Tie
DeepSeek V3.1

DeepSeek

73

Composite Score

Tie
DeepSeek V3.2 Exp

DeepSeek

73

Composite Score

Signal-by-Signal Comparison
MetricDeepSeek V3.1DeepSeek V3.2 ExpWinner
Overall Score
73
73
--
Rank#85#84
DeepSeek V3.2 Exp
Quality Rank#85#84
DeepSeek V3.2 Exp
Adoption Rank#85#84
DeepSeek V3.2 Exp
Parameters------
Context Window164K164K--
Pricing$0.25/$0.95/M$0.27/$0.41/M--
Signal Scores
Capabilities
67
67
DeepSeek V3.1
Benchmarks
69
70
DeepSeek V3.2 Exp
Pricing
99
100
DeepSeek V3.2 Exp
Context window size
75
75
DeepSeek V3.1
Recency
73
80
DeepSeek V3.2 Exp
Output Capacity
75
80
DeepSeek V3.2 Exp
Benchmark Head-to-Head(1 benchmarks)
DeepSeek V3.1: 0DeepSeek V3.2: 1
DeepSeek V3.1
DeepSeek V3.2
Normalized 0-100%
Arena Elo
14181423
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

DeepSeek V3.1Strong Performer

Scores 73/100 (rank #85), placing it in the top 71% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
DeepSeek V3.2 ExpStrong Performer

Scores 73/100 (rank #84), placing it in the top 71% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose DeepSeek V3.1 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose DeepSeek V3.2 Exp when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
DeepSeek V3.1
Input cost$0.25/M tokens
Output cost$0.95/M tokens
Cost per quality point$0.016
Est. monthly (1M tokens/day)$18.00
DeepSeek V3.2 ExpBest Value
Input cost$0.27/M tokens
Output cost$0.41/M tokens
Cost per quality point$0.009
Est. monthly (1M tokens/day)$10.20

DeepSeek V3.2 Exp offers 43% better value per quality point. At 1M tokens/day, you'd spend $10.20/month with DeepSeek V3.2 Exp vs $18.00/month with DeepSeek V3.1 - a $7.80 monthly difference.

Latency & Speed
DeepSeek V3.1Faster
Speed score0/100
DeepSeek V3.2 Exp
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

DeepSeek V3.1

Customer support chatbot

Suitable for user-facing chat with competitive response times. DeepSeek V3.2 Exp also offers lower per-token costs for high-volume support

DeepSeek V3.1

Long document analysis

Larger context window (164K tokens) can process longer documents, contracts, and research papers in a single pass

DeepSeek V3.1

Batch data extraction

Lower output pricing ($0.41/M) reduces costs when processing thousands of records daily

DeepSeek V3.2 Exp

Creative writing & content

Higher overall composite score (73/100) correlates with better nuance, coherence, and style in long-form content

DeepSeek V3.1
Which Should You Choose?
Our recommendation:
DeepSeek V3.1

DeepSeek V3.1 and DeepSeek V3.2 Exp are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

DeepSeek V3.1
Recommended

by DeepSeek

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by DeepSeek

  • Choose for Cost - 43% lower pricing; better value at scale
Capability Comparison
CapabilityDeepSeek V3.1DeepSeek V3.2 Exp
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

DeepSeek V3.1

DeepSeek

$1.59
estimated monthly cost

DeepSeek V3.2 Exp

DeepSeek

Best Value
$0.9780
estimated monthly cost

DeepSeek V3.2 Exp saves you $0.6120/month

That's 38% cheaper than DeepSeek V3.1 at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterDeepSeek V3.1DeepSeek V3.2 Exp
Context Window164K164K
Max Output Tokens32,76865,536
Open SourceYesYes
CreatedAug 21, 2025Sep 29, 2025
Last updated: 50m ago

相关对比

DeepSeek V3.1 vs DeepSeek V3.2 Exp (2026) | LM Market Cap