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GPT-5.6 Luna vs o3 (batch)

GPT-5.6 Luna

OpenAI

89#34
vs
o3 (batch)

OpenAI

87#64
Signal-by-Signal Comparison
SignalGPT-5.6 LunaDeltao3 (batch)
Capabilities
100
--
100
Benchmarks
88
-1
88
Pricing
99
+3
96
Context window size
96
+12
84
Recency
100
+54
46
Output Capacity
85
+2
83
Overall Result
4 wins
of 6
1 wins
GPT-5.6 Luna wins 4 of 6 signals

Score History

Score History (5 data points)
GPT-5.6 Lunao3 (batch)
GPT-5.6 Luna

89

current score

Leader

GPT-5.6 Luna

right now

o3 (batch)

86.7

current score

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

GPT-5.6 Luna

OpenAI

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

o3 (batch)

OpenAI

Per request$0.003000
Daily$10.00
Monthly$300.00
Annual$3600.00

GPT-5.6 Luna saves you $260.00/month

That's $3120.00/year compared to o3 (batch) at your current usage level of 100K calls/month.

87% cheaper
Choose GPT-5.6 Luna for cost optimization

GPT-5.6 Luna pricing:
Input:$0.10/M tokens
Output:$0.60/M tokens
o3 (batch) pricing:
Input:$1.00/M tokens
Output:$4.00/M tokens
Winner
GPT-5.6 Luna

OpenAI

89

Composite Score

o3 (batch)

OpenAI

87

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.6 Lunao3 (batch)Winner
Overall Score
89
87
GPT-5.6 Luna
Rank#34#64
GPT-5.6 Luna
Quality Rank#34#64
GPT-5.6 Luna
Adoption Rank#34#64
GPT-5.6 Luna
Parameters------
Context Window1050K200K
GPT-5.6 Luna
Pricing$0.10/$0.60/M$1.00/$4.00/M--
Signal Scores
Capabilities
100
100
GPT-5.6 Luna
Benchmarks
88
88
o3 (batch)
Pricing
99
96
GPT-5.6 Luna
Context window size
96
84
GPT-5.6 Luna
Recency
100
46
GPT-5.6 Luna
Output Capacity
85
83
GPT-5.6 Luna
Benchmark Head-to-Head(12 benchmarks)
GPT-5.6 Luna: 51 tieso3 (batch): 5
GPT-5.6 Luna
o3 (batch)
Normalized 0-100%
MMLU
93%92.3%
MMLU-Pro
84.5%85.8%
GPQA Diamond
85%87.7%
MATH-500
92.5%99%
HumanEval
96.5%97%
SWE-bench Verified
75%71.7%
AIME 2024
-96.7%
IFEval
92%92%
BBH
90.5%93%
Arena Elo
14651415
LiveBench
76%74.8%
HLE
35%30.1%
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 LunaElite Tier

Scores 89/100 (rank #34), placing it in the top 89% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
o3 (batch)Elite Tier

Scores 87/100 (rank #64), placing it in the top 78% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 2-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-5.6 Luna 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 o3 (batch) when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-5.6 LunaBest 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
o3 (batch)
Input cost$1.00/M tokens
Output cost$4.00/M tokens
Cost per quality point$0.058
Est. monthly (1M tokens/day)$75.00

GPT-5.6 Luna offers 86% better value per quality point. At 1M tokens/day, you'd spend $10.50/month with GPT-5.6 Luna vs $75.00/month with o3 (batch) - a $64.50 monthly difference.

Latency & Speed
GPT-5.6 LunaFaster
Speed score0/100
o3 (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

Customer support chatbot

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

GPT-5.6 Luna

Long document analysis

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

GPT-5.6 Luna

Batch data extraction

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

GPT-5.6 Luna

Creative writing & content

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

GPT-5.6 Luna

Image understanding & OCR

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

GPT-5.6 Luna
Which Should You Choose?
Our recommendation:
GPT-5.6 Luna

GPT-5.6 Luna and o3 (batch) are extremely close in overall performance (only 2.299999999999997 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

GPT-5.6 Luna
Recommended

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 86% 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 Lunao3 (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

OpenAI

Best Value
$0.9000
estimated monthly cost

o3 (batch)

OpenAI

$6.60
estimated monthly cost

GPT-5.6 Luna saves you $5.70/month

That's 86% cheaper than o3 (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 Lunao3 (batch)
Context Window1.1M200K
Max Output Tokens128,000100,000
Open SourceNoNo
CreatedJul 9, 2026Apr 16, 2025
Last updated: 33m ago

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GPT-5.6 Luna vs o3 (batch) (2026) | LM Market Cap