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GPT-5.6 Luna Pro vs GLM 5.3 Flash (batch)

GPT-5.6 Luna Pro

OpenAI

89#25
vs
Signal-by-Signal Comparison
SignalGPT-5.6 Luna ProDeltaGLM 5.3 Flash (batch)
Capabilities
100
+17
83
Benchmarks
88
+12
76
Pricing
99
-1
100
Context window size
96
+0
96
Recency
100
--
100
Output Capacity
82
-14
96
Overall Result
3 wins
of 6
2 wins
GPT-5.6 Luna Pro wins 3 of 6 signals

Score History

Score History (8 data points)
GPT-5.6 Luna ProGLM 5.3 Flash (batch)
GPT-5.6 Luna Pro

89

current score

Leader

GPT-5.6 Luna Pro

right now

GLM 5.3 Flash (batch)

77.2

current score

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

GPT-5.6 Luna Pro

OpenAI

Per request$0.000800
Daily$2.67
Monthly$80.00
Annual$960.00

GLM 5.3 Flash (batch)

Zhipu AI

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

GLM 5.3 Flash (batch) saves you $40.00/month

That's $480.00/year compared to GPT-5.6 Luna Pro at your current usage level of 100K calls/month.

50% cheaper
Choose GLM 5.3 Flash (batch) for cost optimization

GPT-5.6 Luna Pro pricing:
Input:$0.20/M tokens
Output:$1.20/M tokens
GLM 5.3 Flash (batch) pricing:
Input:$0.15/M tokens
Output:$0.50/M tokens
Winner
GPT-5.6 Luna Pro

OpenAI

89

Composite Score

GLM 5.3 Flash (batch)

Zhipu AI

77

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.6 Luna ProGLM 5.3 Flash (batch)Winner
Overall Score
89
77
GPT-5.6 Luna Pro
Rank#25#88
GPT-5.6 Luna Pro
Quality Rank#25#88
GPT-5.6 Luna Pro
Adoption Rank#25#88
GPT-5.6 Luna Pro
Parameters------
Context Window1050K1049K
GPT-5.6 Luna Pro
Pricing$0.20/$1.20/M$0.15/$0.50/M--
Signal Scores
Capabilities
100
83
GPT-5.6 Luna Pro
Benchmarks
88
76
GPT-5.6 Luna Pro
Pricing
99
100
GLM 5.3 Flash (batch)
Context window size
96
96
GPT-5.6 Luna Pro
Recency
100
100
GPT-5.6 Luna Pro
Output Capacity
82
96
GLM 5.3 Flash (batch)
Benchmark Head-to-Head(11 benchmarks)
GPT-5.6 Luna: 0GLM 5.3: 1
GPT-5.6 Luna
GLM 5.3
Normalized 0-100%
MMLU
93%-
MMLU-Pro
84.5%-
GPQA Diamond
85%-
MATH-500
92.5%-
HumanEval
96.5%-
SWE-bench Verified
75%-
IFEval
92%-
BBH
90.5%-
Arena Elo
14651469
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 Luna ProElite Tier

Scores 89/100 (rank #25), placing it in the top 92% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5.3 Flash (batch)Strong Performer

Scores 77/100 (rank #88), placing it in the top 70% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.6 Luna Pro has a 12-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose GPT-5.6 Luna Pro when you need:

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

Choose GLM 5.3 Flash (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • 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 Luna Pro
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 5.3 Flash (batch)Best Value
Input cost$0.15/M tokens
Output cost$0.50/M tokens
Cost per quality point$0.008
Est. monthly (1M tokens/day)$9.75

GLM 5.3 Flash (batch) offers 54% better value per quality point. At 1M tokens/day, you'd spend $9.75/month with GLM 5.3 Flash (batch) vs $21.00/month with GPT-5.6 Luna Pro - a $11.25 monthly difference.

Latency & Speed
GPT-5.6 Luna ProFaster
Speed score0/100
GLM 5.3 Flash (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 Pro

Customer support chatbot

Suitable for user-facing chat with competitive response times. GLM 5.3 Flash (batch) also offers lower per-token costs for high-volume support

GPT-5.6 Luna Pro

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 data extraction

Lower output pricing ($0.50/M) reduces costs when processing thousands of records daily

GLM 5.3 Flash (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

Image understanding & OCR

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

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

GPT-5.6 Luna Pro clearly outperforms GLM 5.3 Flash (batch) with a significant 11.799999999999997-point lead. For most general use cases, GPT-5.6 Luna Pro is the stronger choice. However, GLM 5.3 Flash (batch) may still excel in niche scenarios.

GPT-5.6 Luna Pro
Recommended

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 Zhipu AI

  • Choose for Cost - 54% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.6 Luna ProGLM 5.3 Flash (batch)
Vision (Image Input)
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 Pro

OpenAI

$1.80
estimated monthly cost

GLM 5.3 Flash (batch)

Zhipu AI

Best Value
$0.8700
estimated monthly cost

GLM 5.3 Flash (batch) saves you $0.9300/month

That's 52% cheaper than GPT-5.6 Luna Pro 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 Luna ProGLM 5.3 Flash (batch)
Context Window1.1M1.0M
Max Output Tokens128,000943,717
Open SourceNoYes
CreatedJul 9, 2026Aug 26, 2026
Last updated: 39m ago

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GPT-5.6 Luna Pro vs GLM 5.3 Flash (batch) (2026) | LM Market Cap