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DeepSeek V3.2 vs GPT-6 Luna

DeepSeek V3.2

DeepSeek

83#71
vs
GPT-6 Luna

OpenAI

40#236
Signal-by-Signal Comparison
SignalDeepSeek V3.2DeltaGPT-6 Luna
Capabilities
67
-33
100
Benchmarks
87
+87
0
Pricing
100
+0
100
Context window size
83
-13
96
Recency
79
-21
100
Output Capacity
77
-5
82
Overall Result
2 wins
of 6
4 wins
GPT-6 Luna wins 4 of 6 signals

Score History

Score History (32 data points)
DeepSeek V3.2GPT-6 Luna
DeepSeek V3.2

83.4

current score

Leader

DeepSeek V3.2

right now

GPT-6 Luna

40

current score

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

DeepSeek V3.2

DeepSeek

Per request$0.000469
Daily$1.56
Monthly$46.90
Annual$562.80

GPT-6 Luna

OpenAI

Best Value
Per request$0.000350
Daily$1.17
Monthly$35.00
Annual$420.00

GPT-6 Luna saves you $11.90/month

That's $142.80/year compared to DeepSeek V3.2 at your current usage level of 100K calls/month.

25% cheaper
Choose GPT-6 Luna for cost optimization

DeepSeek V3.2 pricing:
Input:$0.27/M tokens
Output:$0.40/M tokens
GPT-6 Luna pricing:
Input:$0.10/M tokens
Output:$0.50/M tokens
Winner
DeepSeek V3.2

DeepSeek

83

Composite Score

GPT-6 Luna

OpenAI

40

Composite Score

Signal-by-Signal Comparison
MetricDeepSeek V3.2GPT-6 LunaWinner
Overall Score
83
40
DeepSeek V3.2
Rank#71#236
DeepSeek V3.2
Quality Rank#71#236
DeepSeek V3.2
Adoption Rank#71#236
DeepSeek V3.2
Parameters------
Context Window164K1050K
GPT-6 Luna
Pricing$0.27/$0.40/M$0.10/$0.50/M--
Signal Scores
Capabilities
67
100
GPT-6 Luna
Benchmarks
87
--
DeepSeek V3.2
Pricing
100
100
DeepSeek V3.2
Context window size
83
96
GPT-6 Luna
Recency
79
100
GPT-6 Luna
Output Capacity
77
82
GPT-6 Luna
Benchmark Head-to-Head(4 benchmarks)
DeepSeek V3.2: 0GPT-6 Luna: 0
DeepSeek V3.2
GPT-6 Luna
Normalized 0-100%
MMLU
88.5%-
MMLU-Pro
85%-
GPQA Diamond
85.7%-
Arena Elo
1425-
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 V3.2Strong Performer

Scores 83/100 (rank #71), placing it in the top 76% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-6 LunaEntry Level

Scores 40/100 (rank #236), placing it in the top 19% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

DeepSeek V3.2 has a 43-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 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 GPT-6 Luna 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 V3.2Best Value
Input cost$0.27/M tokens
Output cost$0.40/M tokens
Cost per quality point$0.008
Est. monthly (1M tokens/day)$10.03
GPT-6 Luna
Input cost$0.10/M tokens
Output cost$0.50/M tokens
Cost per quality point$0.015
Est. monthly (1M tokens/day)$9.00

DeepSeek V3.2 offers 10% better value per quality point. At 1M tokens/day, you'd spend $9.00/month with GPT-6 Luna vs $10.03/month with DeepSeek V3.2 - a $1.03 monthly difference.

Latency & Speed
DeepSeek V3.2Faster
Speed score0/100
GPT-6 Luna
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

Customer support chatbot

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

DeepSeek V3.2

Long document analysis

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

GPT-6 Luna

Batch data extraction

Lower output pricing ($0.40/M) reduces costs when processing thousands of records daily

DeepSeek V3.2

Creative writing & content

Higher overall composite score (83/100) correlates with better nuance, coherence, and style in long-form content

DeepSeek V3.2

Image understanding & OCR

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

GPT-6 Luna
Which Should You Choose?
Our recommendation:
DeepSeek V3.2

DeepSeek V3.2 clearly outperforms GPT-6 Luna with a significant 43.400000000000006-point lead. For most general use cases, DeepSeek V3.2 is the stronger choice. However, GPT-6 Luna may still excel in niche scenarios.

DeepSeek V3.2
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 OpenAI

  • Choose for Cost - 10% lower pricing; better value at scale
Capability Comparison
CapabilityDeepSeek V3.2GPT-6 Luna
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

DeepSeek

$0.9642
estimated monthly cost

GPT-6 Luna

OpenAI

Best Value
$0.7800
estimated monthly cost

GPT-6 Luna saves you $0.1842/month

That's 19% cheaper than DeepSeek V3.2 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 V3.2GPT-6 Luna
Context Window164K1.1M
Max Output Tokens65,536128,000
Open SourceYesNo
CreatedDec 1, 2025Sep 22, 2026
Last updated: 38m ago

相关对比

DeepSeek V3.2 vs GPT-6 Luna (2026) | LM Market Cap