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GPT-5.5 Pro (batch) vs GPT-5.6 Luna (batch)

Signal-by-Signal Comparison
SignalGPT-5.5 Pro (batch)DeltaGPT-5.6 Luna (batch)
Capabilities
100
--
100
Benchmarks
93
+5
88
Pricing
10
-89
99
Context window size
96
--
96
Recency
100
--
100
Output Capacity
85
--
85
Overall Result
1 wins
of 6
1 wins
It's a tie - both models win 1 signals each

Score History Unavailable

Not enough historical data to show a comparison chart. Score history is recorded weekly and will be available after at least two data points are collected.

92.7

GPT-5.5 Pro (batch)

vs

89

GPT-5.6 Luna (batch)

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

GPT-5.5 Pro (batch)

OpenAI

Per request$0.060000
Daily$200.00
Monthly$6000.00
Annual$72000.00

GPT-5.6 Luna (batch)

OpenAI

Best Value
Per request$0.000400
Daily$1.33
Monthly$40.00
Annual$480.00

GPT-5.6 Luna (batch) saves you $5960.00/month

That's $71520.00/year compared to GPT-5.5 Pro (batch) at your current usage level of 100K calls/month.

99% cheaper
Choose GPT-5.6 Luna (batch) for cost optimization

GPT-5.5 Pro (batch) pricing:
Input:$15.00/M tokens
Output:$90.00/M tokens
GPT-5.6 Luna (batch) pricing:
Input:$0.10/M tokens
Output:$0.60/M tokens
Winner
GPT-5.5 Pro (batch)

OpenAI

93

Composite Score

GPT-5.6 Luna (batch)

OpenAI

89

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.5 Pro (batch)GPT-5.6 Luna (batch)Winner
Overall Score
93
89
GPT-5.5 Pro (batch)
Rank#12#35
GPT-5.5 Pro (batch)
Quality Rank#12#35
GPT-5.5 Pro (batch)
Adoption Rank#12#35
GPT-5.5 Pro (batch)
Parameters------
Context Window1050K1050K--
Pricing$15.00/$90.00/M$0.10/$0.60/M--
Signal Scores
Capabilities
100
100
GPT-5.5 Pro (batch)
Benchmarks
93
88
GPT-5.5 Pro (batch)
Pricing
10
99
GPT-5.6 Luna (batch)
Context window size
96
96
GPT-5.5 Pro (batch)
Recency
100
100
GPT-5.5 Pro (batch)
Output Capacity
85
85
GPT-5.5 Pro (batch)
Benchmark Head-to-Head(11 benchmarks)
GPT-5.5 Pro: 4GPT-5.6 Luna: 1
GPT-5.5 Pro
GPT-5.6 Luna
Normalized 0-100%
MMLU
92.4%93%
MMLU-Pro
-84.5%
GPQA Diamond
93.6%85%
MATH-500
-92.5%
HumanEval
-96.5%
SWE-bench Verified
88.7%75%
IFEval
-92%
BBH
-90.5%
Arena Elo
14751465
LiveBench
-76%
HLE
41.4%35%
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-5.5 Pro (batch)Elite Tier

Scores 93/100 (rank #12), placing it in the top 96% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-5.6 Luna (batch)Elite Tier

Scores 89/100 (rank #35), placing it in the top 88% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 4-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 GPT-5.5 Pro (batch) when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose GPT-5.6 Luna (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-5.5 Pro (batch)
Input cost$15.00/M tokens
Output cost$90.00/M tokens
Cost per quality point$1.133
Est. monthly (1M tokens/day)$1575.00
GPT-5.6 Luna (batch)Best Value
Input cost$0.10/M tokens
Output cost$0.60/M tokens
Cost per quality point$0.008
Est. monthly (1M tokens/day)$10.50

GPT-5.6 Luna (batch) offers 99% better value per quality point. At 1M tokens/day, you'd spend $10.50/month with GPT-5.6 Luna (batch) vs $1575.00/month with GPT-5.5 Pro (batch) - a $1564.50 monthly difference.

Latency & Speed
GPT-5.5 Pro (batch)Faster
Speed score0/100
GPT-5.6 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-5.5 Pro (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-5.6 Luna (batch) also offers lower per-token costs for high-volume support

GPT-5.5 Pro (batch)

Long document analysis

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

GPT-5.5 Pro (batch)

Batch data extraction

Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily

GPT-5.6 Luna (batch)

Creative writing & content

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

GPT-5.5 Pro (batch)

Image understanding & OCR

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

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

GPT-5.5 Pro (batch) has a moderate advantage with a 3.700000000000003-point lead in composite score. It wins on more signal dimensions, but GPT-5.6 Luna (batch) has specific strengths that could make it the better choice for certain workflows.

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 - 99% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.5 Pro (batch)GPT-5.6 Luna (batch)
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)

GPT-5.5 Pro (batch)

OpenAI

$135.00
estimated monthly cost

GPT-5.6 Luna (batch)

OpenAI

Best Value
$0.9000
estimated monthly cost

GPT-5.6 Luna (batch) saves you $134.10/month

That's 99% cheaper than GPT-5.5 Pro (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
ParameterGPT-5.5 Pro (batch)GPT-5.6 Luna (batch)
Context Window1.1M1.1M
Max Output Tokens128,000128,000
Open SourceNoNo
CreatedApr 24, 2026Jul 9, 2026
Last updated: 34m ago

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GPT-5.5 Pro (batch) vs GPT-5.6 Luna (batch) (2026) | LM Market Cap