Skip to content

GPT-5.1 vs GPT-5.6 Luna Pro (batch)

GPT-5.1

OpenAI

89#48
vs
Signal-by-Signal Comparison
SignalGPT-5.1DeltaGPT-5.6 Luna Pro (batch)
Capabilities
100
--
100
Benchmarks
88
+1
88
Pricing
90
-9
99
Context window size
89
-7
96
Recency
84
-16
100
Output Capacity
85
--
85
Overall Result
1 wins
of 6
3 wins
GPT-5.6 Luna Pro (batch) wins 3 of 6 signals

Score History

Score History (25 data points)
GPT-5.1GPT-5.6 Luna Pro (batch)
GPT-5.1

88.7

current score

Leader

GPT-5.6 Luna Pro (batch)

right now

GPT-5.6 Luna Pro (batch)

89

current score

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

GPT-5.1

OpenAI

Per request$0.006250
Daily$20.83
Monthly$625.00
Annual$7500.00

GPT-5.6 Luna Pro (batch)

OpenAI

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

GPT-5.6 Luna Pro (batch) saves you $585.00/month

That's $7020.00/year compared to GPT-5.1 at your current usage level of 100K calls/month.

94% cheaper
Choose GPT-5.6 Luna Pro (batch) for cost optimization

GPT-5.1 pricing:
Input:$1.25/M tokens
Output:$10.00/M tokens
GPT-5.6 Luna Pro (batch) pricing:
Input:$0.10/M tokens
Output:$0.60/M tokens
GPT-5.1

OpenAI

89

Composite Score

Winner
GPT-5.6 Luna Pro (batch)

OpenAI

89

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.1GPT-5.6 Luna Pro (batch)Winner
Overall Score
89
89
GPT-5.6 Luna Pro (batch)
Rank#48#33
GPT-5.6 Luna Pro (batch)
Quality Rank#48#33
GPT-5.6 Luna Pro (batch)
Adoption Rank#48#33
GPT-5.6 Luna Pro (batch)
Parameters------
Context Window400K1050K
GPT-5.6 Luna Pro (batch)
Pricing$1.25/$10.00/M$0.10/$0.60/M--
Signal Scores
Capabilities
100
100
GPT-5.1
Benchmarks
88
88
GPT-5.1
Pricing
90
99
GPT-5.6 Luna Pro (batch)
Context window size
89
96
GPT-5.6 Luna Pro (batch)
Recency
84
100
GPT-5.6 Luna Pro (batch)
Output Capacity
85
85
GPT-5.1
Benchmark Head-to-Head(11 benchmarks)
GPT-5.1: 9GPT-5.6 Luna: 2
GPT-5.1
GPT-5.6 Luna
Normalized 0-100%
MMLU
93.2%93%
MMLU-Pro
85%84.5%
GPQA Diamond
86.5%85%
MATH-500
93.5%92.5%
HumanEval
96.8%96.5%
SWE-bench Verified
76.5%75%
IFEval
92.5%92%
BBH
91%90.5%
Arena Elo
14751465
LiveBench
74%76%
HLE
23.68%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-5.1Elite Tier

Scores 89/100 (rank #48), placing it in the top 84% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
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

With only a 0-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-5.1 when you need:

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

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
Cost-Performance Analysis
GPT-5.1
Input cost$1.25/M tokens
Output cost$10.00/M tokens
Cost per quality point$0.127
Est. monthly (1M tokens/day)$168.75
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

GPT-5.6 Luna Pro (batch) offers 94% better value per quality point. At 1M tokens/day, you'd spend $10.50/month with GPT-5.6 Luna Pro (batch) vs $168.75/month with GPT-5.1 - a $158.25 monthly difference.

Latency & Speed
GPT-5.1Faster
Speed score0/100
GPT-5.6 Luna Pro (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-5.1

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-5.1

Long document analysis

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

GPT-5.6 Luna 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-5.1
Which Should You Choose?
Our recommendation:
GPT-5.6 Luna Pro (batch)

GPT-5.1 and GPT-5.6 Luna Pro (batch) are extremely close in overall performance (only 0.29999999999999716 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

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 - 94% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.1GPT-5.6 Luna Pro (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-5.1

OpenAI

$14.25
estimated monthly cost

GPT-5.6 Luna Pro (batch)

OpenAI

Best Value
$0.9000
estimated monthly cost

GPT-5.6 Luna Pro (batch) saves you $13.35/month

That's 94% cheaper than GPT-5.1 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-5.1GPT-5.6 Luna Pro (batch)
Context Window400K1.1M
Max Output Tokens128,000128,000
Open SourceNoNo
CreatedNov 13, 2025Jul 9, 2026
Last updated: 44m ago

相关对比

GPT-5.1 vs GPT-5.6 Luna Pro (batch) (2026) | LM Market Cap