Skip to content

GPT-4o vs GPT-5.6 Luna

GPT-4o

OpenAI

71#111
vs
GPT-5.6 Luna

OpenAI

89#22
Signal-by-Signal Comparison
SignalGPT-4oDeltaGPT-5.6 Luna
Capabilities
67
-33
100
Benchmarks
74
-13
88
Pricing
90
-7
97
Context window size
81
-14
96
Recency
0
-100
100
Output Capacity
70
-15
85
Overall Result
0 wins
of 6
6 wins
GPT-5.6 Luna wins 6 of 6 signals

Score History

Score History (24 data points)
GPT-4oGPT-5.6 Luna
GPT-4o

71.2

current score

Leader

GPT-5.6 Luna

right now

GPT-5.6 Luna

89

current score

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

GPT-4o

OpenAI

Per request$0.007500
Daily$25.00
Monthly$750.00
Annual$9000.00

GPT-5.6 Luna

OpenAI

Best Value
Per request$0.002000
Daily$6.67
Monthly$200.00
Annual$2400.00

GPT-5.6 Luna saves you $550.00/month

That's $6600.00/year compared to GPT-4o at your current usage level of 100K calls/month.

73% cheaper
Choose GPT-5.6 Luna for cost optimization

GPT-4o pricing:
Input:$2.50/M tokens
Output:$10.00/M tokens
GPT-5.6 Luna pricing:
Input:$0.50/M tokens
Output:$3.00/M tokens
GPT-4o

OpenAI

71

Composite Score

Winner
GPT-5.6 Luna

OpenAI

89

Composite Score

Signal-by-Signal Comparison
MetricGPT-4oGPT-5.6 LunaWinner
Overall Score
71
89
GPT-5.6 Luna
Rank#111#22
GPT-5.6 Luna
Quality Rank#111#22
GPT-5.6 Luna
Adoption Rank#111#22
GPT-5.6 Luna
Parameters------
Context Window128K1050K
GPT-5.6 Luna
Pricing$2.50/$10.00/M$0.50/$3.00/M--
Signal Scores
Capabilities
67
100
GPT-5.6 Luna
Benchmarks
74
88
GPT-5.6 Luna
Pricing
90
97
GPT-5.6 Luna
Context window size
81
96
GPT-5.6 Luna
Recency
0
100
GPT-5.6 Luna
Output Capacity
70
85
GPT-5.6 Luna
Benchmark Head-to-Head(16 benchmarks)
GPT-4o: 0GPT-5.6 Luna: 10
GPT-4o
GPT-5.6 Luna
Normalized 0-100%
MMLU
88.7%93%
MMLU-Pro
72.6%84.5%
GPQA Diamond
53.6%85%
MATH-500
76.6%92.5%
HumanEval
90.2%96.5%
SWE-bench Verified
30.8%75%
GSM8K
95.8%-
IFEval
84.3%92%
BBH
83.7%90.5%
ARC-Challenge
96.4%-
HellaSwag
95.3%-
Arena Elo
12861465
LiveBench
64.3%76%
HLE
-35%
BigCodeBench
51.1%-
SimpleQA
38.2%-
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-4oStrong Performer

Scores 71/100 (rank #111), placing it in the top 62% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-5.6 LunaElite Tier

Scores 89/100 (rank #22), placing it in the top 93% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.6 Luna has a 18-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-4o when you need:

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

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
Cost-Performance Analysis
GPT-4o
Input cost$2.50/M tokens
Output cost$10.00/M tokens
Cost per quality point$0.176
Est. monthly (1M tokens/day)$187.50
GPT-5.6 LunaBest Value
Input cost$0.50/M tokens
Output cost$3.00/M tokens
Cost per quality point$0.039
Est. monthly (1M tokens/day)$52.50

GPT-5.6 Luna offers 72% better value per quality point. At 1M tokens/day, you'd spend $52.50/month with GPT-5.6 Luna vs $187.50/month with GPT-4o - a $135.00 monthly difference.

Latency & Speed
GPT-4oFaster
Speed score0/100
GPT-5.6 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

GPT-4o

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-4o

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 ($3.00/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-4o
Which Should You Choose?
Our recommendation:
GPT-5.6 Luna

GPT-5.6 Luna clearly outperforms GPT-4o with a significant 17.799999999999997-point lead. For most general use cases, GPT-5.6 Luna is the stronger choice. However, GPT-4o may still excel in niche scenarios.

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
GPT-5.6 Luna
Recommended

by OpenAI

  • Choose for Cost - 72% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-4oGPT-5.6 Luna
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-4o

OpenAI

$16.50
estimated monthly cost

GPT-5.6 Luna

OpenAI

Best Value
$4.50
estimated monthly cost

GPT-5.6 Luna saves you $12.00/month

That's 73% cheaper than GPT-4o 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-4oGPT-5.6 Luna
Context Window128K1.1M
Max Output Tokens16,384128,000
Open SourceNoNo
CreatedMay 13, 2024Jul 9, 2026
Last updated: 57m ago

Related comparisons

GPT-4o vs GPT-5.6 Luna (2026) | LM Market Cap