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GPT-5 vs GLM 5.2

GPT-5

OpenAI

89#36
vs
GLM 5.2

Zhipu AI

79#68
Signal-by-Signal Comparison
SignalGPT-5DeltaGLM 5.2
Capabilities
100
+33
67
Benchmarks
88
+7
81
Pricing
90
-8
98
Context window size
89
-7
96
Recency
68
-32
100
Output Capacity
85
0
85
Overall Result
2 wins
of 6
4 wins
GLM 5.2 wins 4 of 6 signals

Score History

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

88.7

current score

Leader

GPT-5

right now

GLM 5.2

78.5

current score

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

GPT-5

OpenAI

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

GLM 5.2

Zhipu AI

Best Value
Per request$0.001890
Daily$6.30
Monthly$189.00
Annual$2268.00

GLM 5.2 saves you $436.00/month

That's $5232.00/year compared to GPT-5 at your current usage level of 100K calls/month.

70% cheaper
Choose GLM 5.2 for cost optimization

GPT-5 pricing:
Input:$1.25/M tokens
Output:$10.00/M tokens
GLM 5.2 pricing:
Input:$0.73/M tokens
Output:$2.31/M tokens
Winner
GPT-5

OpenAI

89

Composite Score

GLM 5.2

Zhipu AI

79

Composite Score

Signal-by-Signal Comparison
MetricGPT-5GLM 5.2Winner
Overall Score
89
79
GPT-5
Rank#36#68
GPT-5
Quality Rank#36#68
GPT-5
Adoption Rank#36#68
GPT-5
Parameters------
Context Window400K1049K
GLM 5.2
Pricing$1.25/$10.00/M$0.73/$2.31/M--
Signal Scores
Capabilities
100
67
GPT-5
Benchmarks
88
81
GPT-5
Pricing
90
98
GLM 5.2
Context window size
89
96
GLM 5.2
Recency
68
100
GLM 5.2
Output Capacity
85
85
GLM 5.2
Benchmark Head-to-Head(11 benchmarks)
GPT-5: 1GLM 5.2: 1
GPT-5
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
14651457
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-5Elite Tier

Scores 89/100 (rank #36), placing it in the top 88% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5.2Strong Performer

Scores 79/100 (rank #68), placing it in the top 77% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5 has a 10-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 when you need:

  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose GLM 5.2 when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1049K token context)
  • 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
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
GLM 5.2Best Value
Input cost$0.73/M tokens
Output cost$2.31/M tokens
Cost per quality point$0.039
Est. monthly (1M tokens/day)$45.67

GLM 5.2 offers 73% better value per quality point. At 1M tokens/day, you'd spend $45.67/month with GLM 5.2 vs $168.75/month with GPT-5 - a $123.08 monthly difference.

Latency & Speed
GPT-5Faster
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

Customer support chatbot

Suitable for user-facing chat with competitive response times. GLM 5.2 also offers lower per-token costs for high-volume support

GPT-5

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

GLM 5.2

Batch data extraction

Lower output pricing ($2.31/M) reduces costs when processing thousands of records daily

GLM 5.2

Creative writing & content

Higher overall composite score (89/100) correlates with better nuance, coherence, and style in long-form content

GPT-5

Image understanding & OCR

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

GPT-5
Which Should You Choose?
Our recommendation:
GPT-5

GPT-5 clearly outperforms GLM 5.2 with a significant 10.200000000000003-point lead. For most general use cases, GPT-5 is the stronger choice. However, GLM 5.2 may still excel in niche scenarios.

GPT-5
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 - 73% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5GLM 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

OpenAI

$14.25
estimated monthly cost

GLM 5.2

Zhipu AI

Best Value
$4.09
estimated monthly cost

GLM 5.2 saves you $10.16/month

That's 71% cheaper than GPT-5 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-5GLM 5.2
Context Window400K1.0M
Max Output Tokens128,000131,072
Open SourceNoYes
CreatedAug 7, 2025Jun 16, 2026
Last updated: 56m ago

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