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DeepSeek V3.2 Exp vs GPT-5.5 (batch)

DeepSeek V3.2 Exp

DeepSeek

72#151
vs
GPT-5.5 (batch)

OpenAI

93#14
Signal-by-Signal Comparison
SignalDeepSeek V3.2 ExpDeltaGPT-5.5 (batch)
Capabilities
67
-33
100
Benchmarks
70
-23
93
Pricing
100
+15
85
Context window size
83
-13
96
Recency
68
-32
100
Output Capacity
77
-5
82
Overall Result
1 wins
of 6
5 wins
GPT-5.5 (batch) wins 5 of 6 signals

Score History

Score History (32 data points)
DeepSeek V3.2 ExpGPT-5.5 (batch)
DeepSeek V3.2 Exp

71.8

current score

Leader

GPT-5.5 (batch)

right now

GPT-5.5 (batch)

92.7

current score

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

DeepSeek V3.2 Exp

DeepSeek

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

GPT-5.5 (batch)

OpenAI

Per request$0.010000
Daily$33.33
Monthly$1000.00
Annual$12000.00

DeepSeek V3.2 Exp saves you $952.50/month

That's $11430.00/year compared to GPT-5.5 (batch) at your current usage level of 100K calls/month.

95% cheaper
Choose DeepSeek V3.2 Exp for cost optimization

DeepSeek V3.2 Exp pricing:
Input:$0.27/M tokens
Output:$0.41/M tokens
GPT-5.5 (batch) pricing:
Input:$2.50/M tokens
Output:$15.00/M tokens
DeepSeek V3.2 Exp

DeepSeek

72

Composite Score

Winner
GPT-5.5 (batch)

OpenAI

93

Composite Score

Signal-by-Signal Comparison
MetricDeepSeek V3.2 ExpGPT-5.5 (batch)Winner
Overall Score
72
93
GPT-5.5 (batch)
Rank#151#14
GPT-5.5 (batch)
Quality Rank#151#14
GPT-5.5 (batch)
Adoption Rank#151#14
GPT-5.5 (batch)
Parameters------
Context Window164K1050K
GPT-5.5 (batch)
Pricing$0.27/$0.41/M$2.50/$15.00/M--
Signal Scores
Capabilities
67
100
GPT-5.5 (batch)
Benchmarks
70
93
GPT-5.5 (batch)
Pricing
100
85
DeepSeek V3.2 Exp
Context window size
83
96
GPT-5.5 (batch)
Recency
68
100
GPT-5.5 (batch)
Output Capacity
77
82
GPT-5.5 (batch)
Benchmark Head-to-Head(5 benchmarks)
DeepSeek V3.2: 0GPT-5.5 (batch): 1
DeepSeek V3.2
GPT-5.5 (batch)
Normalized 0-100%
MMLU
-92.4%
GPQA Diamond
-93.6%
SWE-bench Verified
-88.7%
Arena Elo
14221475
HLE
-41.4%
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 V3.2 ExpStrong Performer

Scores 72/100 (rank #151), placing it in the top 48% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-5.5 (batch)Elite Tier

Scores 93/100 (rank #14), placing it in the top 96% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.5 (batch) has a 21-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each 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

Choose GPT-5.5 (batch) when you need:

  • Processing long documents or large codebases (1050K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
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
GPT-5.5 (batch)
Input cost$2.50/M tokens
Output cost$15.00/M tokens
Cost per quality point$0.189
Est. monthly (1M tokens/day)$262.50

DeepSeek V3.2 Exp offers 96% better value per quality point. At 1M tokens/day, you'd spend $10.20/month with DeepSeek V3.2 Exp vs $262.50/month with GPT-5.5 (batch) - a $252.30 monthly difference.

Latency & Speed
DeepSeek V3.2 ExpFaster
Speed score0/100
GPT-5.5 (batch)
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 V3.2 Exp

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 V3.2 Exp

Long document analysis

Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-5.5 (batch)

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 (93/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.5 (batch)

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

GPT-5.5 (batch)
Which Should You Choose?
Our recommendation:
GPT-5.5 (batch)

GPT-5.5 (batch) clearly outperforms DeepSeek V3.2 Exp with a significant 20.900000000000006-point lead. For most general use cases, GPT-5.5 (batch) is the stronger choice. However, DeepSeek V3.2 Exp may still excel in niche scenarios.

by DeepSeek

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 96% lower pricing; better value at scale
  • 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
GPT-5.5 (batch)
Recommended

by OpenAI

Consider for specialized use cases.

Capability Comparison
CapabilityDeepSeek V3.2 ExpGPT-5.5 (batch)
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

DeepSeek V3.2 Exp

DeepSeek

Best Value
$0.9780
estimated monthly cost

GPT-5.5 (batch)

OpenAI

$22.50
estimated monthly cost

DeepSeek V3.2 Exp saves you $21.52/month

That's 96% cheaper than GPT-5.5 (batch) 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 V3.2 ExpGPT-5.5 (batch)
Context Window164K1.1M
Max Output Tokens65,536128,000
Open SourceYesNo
CreatedSep 29, 2025Apr 24, 2026
Last updated: 23m ago

相关对比

DeepSeek V3.2 Exp vs GPT-5.5 (batch) (2026) | LM Market Cap