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GPT-5.2 Chat vs GPT-6 Luna (batch)

GPT-5.2 Chat

OpenAI

91#24
vs
GPT-6 Luna (batch)

OpenAI

40#238
Signal-by-Signal Comparison
SignalGPT-5.2 ChatDeltaGPT-6 Luna (batch)
Capabilities
83
-17
100
Benchmarks
77
+77
0
Pricing
86
-14
100
Context window size
81
-14
96
Recency
81
-19
100
Output Capacity
72
-10
82
Overall Result
1 wins
of 6
5 wins
GPT-6 Luna (batch) wins 5 of 6 signals

Score History

Score History (32 data points)
GPT-5.2 ChatGPT-6 Luna (batch)
GPT-5.2 Chat

90.5

current score

Leader

GPT-5.2 Chat

right now

GPT-6 Luna (batch)

40

current score

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

GPT-5.2 Chat

OpenAI

Per request$0.008750
Daily$29.17
Monthly$875.00
Annual$10500.00

GPT-6 Luna (batch)

OpenAI

Best Value
Per request$0.000175
Daily$0.58
Monthly$17.50
Annual$210.00

GPT-6 Luna (batch) saves you $857.50/month

That's $10290.00/year compared to GPT-5.2 Chat at your current usage level of 100K calls/month.

98% cheaper
Choose GPT-6 Luna (batch) for cost optimization

GPT-5.2 Chat pricing:
Input:$1.75/M tokens
Output:$14.00/M tokens
GPT-6 Luna (batch) pricing:
Input:$0.05/M tokens
Output:$0.25/M tokens
Winner
GPT-5.2 Chat

OpenAI

91

Composite Score

GPT-6 Luna (batch)

OpenAI

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.2 ChatGPT-6 Luna (batch)Winner
Overall Score
91
40
GPT-5.2 Chat
Rank#24#238
GPT-5.2 Chat
Quality Rank#24#238
GPT-5.2 Chat
Adoption Rank#24#238
GPT-5.2 Chat
Parameters------
Context Window128K1050K
GPT-6 Luna (batch)
Pricing$1.75/$14.00/M$0.05/$0.25/M--
Signal Scores
Capabilities
83
100
GPT-6 Luna (batch)
Benchmarks
77
--
GPT-5.2 Chat
Pricing
86
100
GPT-6 Luna (batch)
Context window size
81
96
GPT-6 Luna (batch)
Recency
81
100
GPT-6 Luna (batch)
Output Capacity
72
82
GPT-6 Luna (batch)
Benchmark Head-to-Head(1 benchmarks)
GPT-5.2 Chat: 0GPT-6 Luna: 0
GPT-5.2 Chat
GPT-6 Luna
Normalized 0-100%
Arena Elo
1476-
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.

GPT-5.2 ChatElite Tier

Scores 91/100 (rank #24), placing it in the top 92% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-6 Luna (batch)Entry Level

Scores 40/100 (rank #238), placing it in the top 18% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.2 Chat has a 51-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose GPT-5.2 Chat when you need:

  • General-purpose tasks across coding, writing, and analysis

Choose GPT-6 Luna (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1050K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-5.2 Chat
Input cost$1.75/M tokens
Output cost$14.00/M tokens
Cost per quality point$0.174
Est. monthly (1M tokens/day)$236.25
GPT-6 Luna (batch)Best Value
Input cost$0.05/M tokens
Output cost$0.25/M tokens
Cost per quality point$0.007
Est. monthly (1M tokens/day)$4.50

GPT-6 Luna (batch) offers 98% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with GPT-6 Luna (batch) vs $236.25/month with GPT-5.2 Chat - a $231.75 monthly difference.

Latency & Speed
GPT-5.2 ChatFaster
Speed score0/100
GPT-6 Luna (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

GPT-5.2 Chat

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-6 Luna (batch) also offers lower per-token costs for high-volume support

GPT-5.2 Chat

Long document analysis

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

GPT-6 Luna (batch)

Batch data extraction

Lower output pricing ($0.25/M) reduces costs when processing thousands of records daily

GPT-6 Luna (batch)

Creative writing & content

Higher overall composite score (91/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.2 Chat

Image understanding & OCR

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

GPT-5.2 Chat
Which Should You Choose?
Our recommendation:
GPT-5.2 Chat

GPT-5.2 Chat clearly outperforms GPT-6 Luna (batch) with a significant 50.5-point lead. For most general use cases, GPT-5.2 Chat is the stronger choice. However, GPT-6 Luna (batch) may still excel in niche scenarios.

GPT-5.2 Chat
Recommended

by OpenAI

  • 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 - 98% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.2 ChatGPT-6 Luna (batch)
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-5.2 Chat

OpenAI

$19.95
estimated monthly cost

GPT-6 Luna (batch)

OpenAI

Best Value
$0.3900
estimated monthly cost

GPT-6 Luna (batch) saves you $19.56/month

That's 98% cheaper than GPT-5.2 Chat 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
ParameterGPT-5.2 ChatGPT-6 Luna (batch)
Context Window128K1.1M
Max Output Tokens32,000128,000
Open SourceNoNo
CreatedDec 10, 2025Sep 22, 2026
Last updated: 47m ago

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GPT-5.2 Chat vs GPT-6 Luna (batch) (2026) | LM Market Cap