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GPT-5.2 vs GLM 5

GPT-5.2

OpenAI

91#19
vs
GLM 5

Zhipu AI

78#73
Signal-by-Signal Comparison
SignalGPT-5.2DeltaGLM 5
Capabilities
100
+33
67
Benchmarks
89
+9
81
Pricing
86
-11
98
Context window size
89
+5
84
Recency
91
-9
100
Output Capacity
85
0
85
Overall Result
3 wins
of 6
3 wins
It's a tie - both models win 3 signals each

Score History

Score History (24 data points)
GPT-5.2GLM 5
GPT-5.2

90.5

current score

Leader

GPT-5.2

right now

GLM 5

78

current score

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

GPT-5.2

OpenAI

Per request$0.008750
Daily$29.17
Monthly$875.00
Annual$10500.00

GLM 5

Zhipu AI

Best Value
Per request$0.002225
Daily$7.42
Monthly$222.50
Annual$2670.00

GLM 5 saves you $652.50/month

That's $7830.00/year compared to GPT-5.2 at your current usage level of 100K calls/month.

75% cheaper
Choose GLM 5 for cost optimization

GPT-5.2 pricing:
Input:$1.75/M tokens
Output:$14.00/M tokens
GLM 5 pricing:
Input:$0.95/M tokens
Output:$2.55/M tokens
Winner
GPT-5.2

OpenAI

91

Composite Score

GLM 5

Zhipu AI

78

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.2GLM 5Winner
Overall Score
91
78
GPT-5.2
Rank#19#73
GPT-5.2
Quality Rank#19#73
GPT-5.2
Adoption Rank#19#73
GPT-5.2
Parameters------
Context Window400K205K
GPT-5.2
Pricing$1.75/$14.00/M$0.95/$2.55/M--
Signal Scores
Capabilities
100
67
GPT-5.2
Benchmarks
89
81
GPT-5.2
Pricing
86
98
GLM 5
Context window size
89
84
GPT-5.2
Recency
91
100
GLM 5
Output Capacity
85
85
GLM 5
Benchmark Head-to-Head(11 benchmarks)
GPT-5.2: 11 tiesGLM 5: 0
GPT-5.2
GLM 5
Normalized 0-100%
MMLU
93.5%-
MMLU-Pro
86%86%
GPQA Diamond
87%-
MATH-500
94%-
HumanEval
97%-
SWE-bench Verified
78%-
IFEval
93%-
BBH
91.5%-
Arena Elo
14811457
LiveBench
77.5%-
HLE
37%-
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-5.2Elite Tier

Scores 91/100 (rank #19), placing it in the top 94% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5Strong Performer

Scores 78/100 (rank #73), placing it in the top 75% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.2 has a 13-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-5.2 when you need:

  • Processing long documents or large codebases (400K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose GLM 5 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-5.2
Input cost$1.75/M tokens
Output cost$14.00/M tokens
Cost per quality point$0.174
Est. monthly (1M tokens/day)$236.25
GLM 5Best Value
Input cost$0.95/M tokens
Output cost$2.55/M tokens
Cost per quality point$0.045
Est. monthly (1M tokens/day)$52.50

GLM 5 offers 78% better value per quality point. At 1M tokens/day, you'd spend $52.50/month with GLM 5 vs $236.25/month with GPT-5.2 - a $183.75 monthly difference.

Latency & Speed
GPT-5.2Faster
Speed score0/100
GLM 5
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-5.2

Customer support chatbot

Suitable for user-facing chat with competitive response times. GLM 5 also offers lower per-token costs for high-volume support

GPT-5.2

Long document analysis

Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-5.2

Batch data extraction

Lower output pricing ($2.55/M) reduces costs when processing thousands of records daily

GLM 5

Creative writing & content

Higher overall composite score (91/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.2

Image understanding & OCR

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

GPT-5.2
Which Should You Choose?
Our recommendation:
GPT-5.2

GPT-5.2 clearly outperforms GLM 5 with a significant 12.5-point lead. For most general use cases, GPT-5.2 is the stronger choice. However, GLM 5 may still excel in niche scenarios.

GPT-5.2
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 - 78% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.2GLM 5
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-5.2

OpenAI

$19.95
estimated monthly cost

GLM 5

Zhipu AI

Best Value
$4.77
estimated monthly cost

GLM 5 saves you $15.18/month

That's 76% cheaper than GPT-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-5.2GLM 5
Context Window400K205K
Max Output Tokens128,000131,072
Open SourceNoYes
CreatedDec 10, 2025Feb 11, 2026
Last updated: 56m ago

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