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GPT-5.6 Luna vs GLM 5.2

GPT-5.6 Luna

OpenAI

89#27
vs
GLM 5.2

Zhipu AI

69#136
Signal-by-Signal Comparison
SignalGPT-5.6 LunaDeltaGLM 5.2
Capabilities
100
+33
67
Benchmarks
88
+19
69
Pricing
99
+6
93
Context window size
96
+0
96
Recency
100
--
100
Output Capacity
82
-14
96
Overall Result
4 wins
of 6
1 wins
GPT-5.6 Luna wins 4 of 6 signals

Score History

Score History (20 data points)
GPT-5.6 LunaGLM 5.2
GPT-5.6 Luna

89

current score

Leader

GPT-5.6 Luna

right now

GLM 5.2

68.9

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$0.000800
Daily$2.67
Monthly$80.00
Annual$960.00

GLM 5.2

Zhipu AI

Per request$0.003534
Daily$11.78
Monthly$353.41
Annual$4240.92

GPT-5.6 Luna saves you $273.41/month

That's $3280.92/year compared to GLM 5.2 at your current usage level of 100K calls/month.

77% cheaper
Choose GPT-5.6 Luna for cost optimization

GPT-5.6 Luna pricing:
Input:$0.20/M tokens
Output:$1.20/M tokens
GLM 5.2 pricing:
Input:$0.03/M tokens
Output:$7.00/M tokens
Winner
GPT-5.6 Luna

OpenAI

89

Composite Score

GLM 5.2

Zhipu AI

69

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.6 LunaGLM 5.2Winner
Overall Score
89
69
GPT-5.6 Luna
Rank#27#136
GPT-5.6 Luna
Quality Rank#27#136
GPT-5.6 Luna
Adoption Rank#27#136
GPT-5.6 Luna
Parameters------
Context Window1050K1049K
GPT-5.6 Luna
Pricing$0.20/$1.20/M$0.03/$7.00/M--
Signal Scores
Capabilities
100
67
GPT-5.6 Luna
Benchmarks
88
69
GPT-5.6 Luna
Pricing
99
93
GPT-5.6 Luna
Context window size
96
96
GPT-5.6 Luna
Recency
100
100
GPT-5.6 Luna
Output Capacity
82
96
GLM 5.2
Benchmark Head-to-Head(11 benchmarks)
GPT-5.6 Luna: 0GLM 5.2: 1
GPT-5.6 Luna
GLM 5.2
Normalized 0-100%
MMLU
93%-
MMLU-Pro
84.5%86%
GPQA Diamond
85%-
MATH-500
92.5%-
HumanEval
96.5%-
SWE-bench Verified
75%-
IFEval
92%-
BBH
90.5%-
Arena Elo
1465-
LiveBench
76%-
HLE
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-5.6 LunaElite Tier

Scores 89/100 (rank #27), placing it in the top 91% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5.2Competitive

Scores 69/100 (rank #136), placing it in the top 53% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.6 Luna has a 20-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-5.6 Luna when you need:

  • High-volume production workloads where API costs must be minimized
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose GLM 5.2 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
GPT-5.6 LunaBest Value
Input cost$0.20/M tokens
Output cost$1.20/M tokens
Cost per quality point$0.016
Est. monthly (1M tokens/day)$21.00
GLM 5.2
Input cost$0.03/M tokens
Output cost$7.00/M tokens
Cost per quality point$0.102
Est. monthly (1M tokens/day)$105.51

GPT-5.6 Luna offers 80% better value per quality point. At 1M tokens/day, you'd spend $21.00/month with GPT-5.6 Luna vs $105.51/month with GLM 5.2 - a $84.51 monthly difference.

Latency & Speed
GPT-5.6 LunaFaster
Speed score0/100
GLM 5.2
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 ($1.20/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 clearly outperforms GLM 5.2 with a significant 20.099999999999994-point lead. For most general use cases, GPT-5.6 Luna is the stronger choice. However, GLM 5.2 may still excel in niche scenarios.

GPT-5.6 Luna
Recommended

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 80% 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 Zhipu AI

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-5.6 LunaGLM 5.2
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-5.6 Luna

OpenAI

Best Value
$1.80
estimated monthly cost

GLM 5.2

Zhipu AI

$8.46
estimated monthly cost

GPT-5.6 Luna saves you $6.66/month

That's 79% cheaper than GLM 5.2 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 LunaGLM 5.2
Context Window1.1M1.0M
Max Output Tokens128,000943,718
Open SourceNoYes
CreatedJul 9, 2026Jun 16, 2026
Last updated: 23m ago

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