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GPT-5.6 Luna Pro (batch) vs o1 (batch)

vs
o1 (batch)

OpenAI

74#130
Signal-by-Signal Comparison
SignalGPT-5.6 Luna Pro (batch)Deltao1 (batch)
Capabilities
100
--
100
Benchmarks
88
+11
77
Pricing
99
+29
70
Context window size
96
+12
84
Recency
100
+76
24
Output Capacity
85
+2
83
Overall Result
5 wins
of 6
0 wins
GPT-5.6 Luna Pro (batch) wins 5 of 6 signals

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.

89

GPT-5.6 Luna Pro (batch)

vs

74.4

o1 (batch)

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

GPT-5.6 Luna Pro (batch)

OpenAI

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

o1 (batch)

OpenAI

Per request$0.022500
Daily$75.00
Monthly$2250.00
Annual$27000.00

GPT-5.6 Luna Pro (batch) saves you $2210.00/month

That's $26520.00/year compared to o1 (batch) at your current usage level of 100K calls/month.

98% cheaper
Choose GPT-5.6 Luna Pro (batch) for cost optimization

GPT-5.6 Luna Pro (batch) pricing:
Input:$0.10/M tokens
Output:$0.60/M tokens
o1 (batch) pricing:
Input:$7.50/M tokens
Output:$30.00/M tokens
Winner
GPT-5.6 Luna Pro (batch)

OpenAI

89

Composite Score

o1 (batch)

OpenAI

74

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.6 Luna Pro (batch)o1 (batch)Winner
Overall Score
89
74
GPT-5.6 Luna Pro (batch)
Rank#33#130
GPT-5.6 Luna Pro (batch)
Quality Rank#33#130
GPT-5.6 Luna Pro (batch)
Adoption Rank#33#130
GPT-5.6 Luna Pro (batch)
Parameters------
Context Window1050K200K
GPT-5.6 Luna Pro (batch)
Pricing$0.10/$0.60/M$7.50/$30.00/M--
Signal Scores
Capabilities
100
100
GPT-5.6 Luna Pro (batch)
Benchmarks
88
77
GPT-5.6 Luna Pro (batch)
Pricing
99
70
GPT-5.6 Luna Pro (batch)
Context window size
96
84
GPT-5.6 Luna Pro (batch)
Recency
100
24
GPT-5.6 Luna Pro (batch)
Output Capacity
85
83
GPT-5.6 Luna Pro (batch)
Benchmark Head-to-Head(13 benchmarks)
GPT-5.6 Luna: 9o1 (batch): 1
GPT-5.6 Luna
o1 (batch)
Normalized 0-100%
MMLU
93%91.8%
MMLU-Pro
84.5%80.3%
GPQA Diamond
85%78%
MATH-500
92.5%96.4%
HumanEval
96.5%92.4%
SWE-bench Verified
75%48.9%
AIME 2024
-83.3%
IFEval
92%86.5%
BBH
90.5%89%
Arena Elo
14651350
LiveBench
76%-
HLE
35%8.12%
BigCodeBench
-32.4%
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.

GPT-5.6 Luna Pro (batch)Elite Tier

Scores 89/100 (rank #33), placing it in the top 89% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
o1 (batch)Strong Performer

Scores 74/100 (rank #130), placing it in the top 56% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.6 Luna Pro (batch) has a 15-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose GPT-5.6 Luna Pro (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

Choose o1 (batch) when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-5.6 Luna Pro (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
o1 (batch)
Input cost$7.50/M tokens
Output cost$30.00/M tokens
Cost per quality point$0.504
Est. monthly (1M tokens/day)$562.50

GPT-5.6 Luna Pro (batch) offers 98% better value per quality point. At 1M tokens/day, you'd spend $10.50/month with GPT-5.6 Luna Pro (batch) vs $562.50/month with o1 (batch) - a $552.00 monthly difference.

Latency & Speed
GPT-5.6 Luna Pro (batch)Faster
Speed score0/100
o1 (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-5.6 Luna Pro (batch)

Customer support chatbot

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

GPT-5.6 Luna Pro (batch)

Long document analysis

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

GPT-5.6 Luna Pro (batch)

Batch data extraction

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

GPT-5.6 Luna Pro (batch)

Creative writing & content

Higher overall composite score (89/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.6 Luna Pro (batch)

Image understanding & OCR

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

GPT-5.6 Luna Pro (batch)
Which Should You Choose?
Our recommendation:
GPT-5.6 Luna Pro (batch)

GPT-5.6 Luna Pro (batch) clearly outperforms o1 (batch) with a significant 14.599999999999994-point lead. For most general use cases, GPT-5.6 Luna Pro (batch) is the stronger choice. However, o1 (batch) may still excel in niche scenarios.

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 98% 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

by OpenAI

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-5.6 Luna Pro (batch)o1 (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-5.6 Luna Pro (batch)

OpenAI

Best Value
$0.9000
estimated monthly cost

o1 (batch)

OpenAI

$49.50
estimated monthly cost

GPT-5.6 Luna Pro (batch) saves you $48.60/month

That's 98% cheaper than o1 (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-5.6 Luna Pro (batch)o1 (batch)
Context Window1.1M200K
Max Output Tokens128,000100,000
Open SourceNoNo
CreatedJul 9, 2026Dec 17, 2024
Last updated: 36m ago

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GPT-5.6 Luna Pro (batch) vs o1 (batch) (2026) | LM Market Cap