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GPT-4.1 vs GPT-5.6 Luna

GPT-4.1

OpenAI

68#127
vs
GPT-5.6 Luna

OpenAI

89#22
Signal-by-Signal Comparison
SignalGPT-4.1DeltaGPT-5.6 Luna
Capabilities
83
-17
100
Benchmarks
70
-17
88
Pricing
92
-5
97
Context window size
96
0
96
Recency
47
-53
100
Output Capacity
75
-10
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-4.1GPT-5.6 Luna
GPT-4.1

67.7

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-4.1

OpenAI

Per request$0.006000
Daily$20.00
Monthly$600.00
Annual$7200.00

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 $400.00/month

That's $4800.00/year compared to GPT-4.1 at your current usage level of 100K calls/month.

67% cheaper
Choose GPT-5.6 Luna for cost optimization

GPT-4.1 pricing:
Input:$2.00/M tokens
Output:$8.00/M tokens
GPT-5.6 Luna pricing:
Input:$0.50/M tokens
Output:$3.00/M tokens
GPT-4.1

OpenAI

68

Composite Score

Winner
GPT-5.6 Luna

OpenAI

89

Composite Score

Signal-by-Signal Comparison
MetricGPT-4.1GPT-5.6 LunaWinner
Overall Score
68
89
GPT-5.6 Luna
Rank#127#22
GPT-5.6 Luna
Quality Rank#127#22
GPT-5.6 Luna
Adoption Rank#127#22
GPT-5.6 Luna
Parameters------
Context Window1048K1050K
GPT-5.6 Luna
Pricing$2.00/$8.00/M$0.50/$3.00/M--
Signal Scores
Capabilities
83
100
GPT-5.6 Luna
Benchmarks
70
88
GPT-5.6 Luna
Pricing
92
97
GPT-5.6 Luna
Context window size
96
96
GPT-5.6 Luna
Recency
47
100
GPT-5.6 Luna
Output Capacity
75
85
GPT-5.6 Luna
Benchmark Head-to-Head(12 benchmarks)
GPT-4.1: 0GPT-5.6 Luna: 11
GPT-4.1
GPT-5.6 Luna
Normalized 0-100%
MMLU
89.2%93%
MMLU-Pro
81.8%84.5%
GPQA Diamond
56%85%
MATH-500
78.5%92.5%
HumanEval
91.5%96.5%
SWE-bench Verified
54.6%75%
IFEval
88.2%92%
BBH
84%90.5%
Arena Elo
13001465
LiveBench
64.5%76%
HLE
5.4%35%
BigCodeBench
31.8%-
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-4.1Competitive

Scores 68/100 (rank #127), placing it in the top 57% 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 21-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-4.1 when you need:

  • Budget-friendly applications with moderate quality requirements

Choose GPT-5.6 Luna 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-4.1
Input cost$2.00/M tokens
Output cost$8.00/M tokens
Cost per quality point$0.148
Est. monthly (1M tokens/day)$150.00
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 65% better value per quality point. At 1M tokens/day, you'd spend $52.50/month with GPT-5.6 Luna vs $150.00/month with GPT-4.1 - a $97.50 monthly difference.

Latency & Speed
GPT-4.1Faster
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-4.1

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-4.1

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-4.1
Which Should You Choose?
Our recommendation:
GPT-5.6 Luna

GPT-5.6 Luna clearly outperforms GPT-4.1 with a significant 21.299999999999997-point lead. For most general use cases, GPT-5.6 Luna is the stronger choice. However, GPT-4.1 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 - 65% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-4.1GPT-5.6 Luna
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-4.1

OpenAI

$13.20
estimated monthly cost

GPT-5.6 Luna

OpenAI

Best Value
$4.50
estimated monthly cost

GPT-5.6 Luna saves you $8.70/month

That's 66% cheaper than GPT-4.1 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-4.1GPT-5.6 Luna
Context Window1.0M1.1M
Max Output Tokens32,768128,000
Open SourceNoNo
CreatedApr 14, 2025Jul 9, 2026
Last updated: 58m ago

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