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GPT-4o vs GLM 5.2

GPT-4o

OpenAI

71#114
vs
GLM 5.2

Zhipu AI

69#136
Signal-by-Signal Comparison
SignalGPT-4oDeltaGLM 5.2
Capabilities
67
--
67
Benchmarks
74
+5
69
Pricing
90
-3
93
Context window size
81
-14
96
Recency
0
-100
100
Output Capacity
67
-28
96
Overall Result
1 wins
of 6
4 wins
GLM 5.2 wins 4 of 6 signals

Score History

Score History (37 data points)
GPT-4oGLM 5.2
GPT-4o

71.2

current score

Leader

GPT-4o

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-4o

OpenAI

Per request$0.007500
Daily$25.00
Monthly$750.00
Annual$9000.00

GLM 5.2

Zhipu AI

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

GLM 5.2 saves you $396.59/month

That's $4759.08/year compared to GPT-4o at your current usage level of 100K calls/month.

53% cheaper
Choose GLM 5.2 for cost optimization

GPT-4o pricing:
Input:$2.50/M tokens
Output:$10.00/M tokens
GLM 5.2 pricing:
Input:$0.03/M tokens
Output:$7.00/M tokens
Winner
GPT-4o

OpenAI

71

Composite Score

GLM 5.2

Zhipu AI

69

Composite Score

Signal-by-Signal Comparison
MetricGPT-4oGLM 5.2Winner
Overall Score
71
69
GPT-4o
Rank#114#136
GPT-4o
Quality Rank#114#136
GPT-4o
Adoption Rank#114#136
GPT-4o
Parameters------
Context Window128K1049K
GLM 5.2
Pricing$2.50/$10.00/M$0.03/$7.00/M--
Signal Scores
Capabilities
67
67
GPT-4o
Benchmarks
74
69
GPT-4o
Pricing
90
93
GLM 5.2
Context window size
81
96
GLM 5.2
Recency
0
100
GLM 5.2
Output Capacity
67
96
GLM 5.2
Benchmark Head-to-Head(15 benchmarks)
GPT-4o: 0GLM 5.2: 1
GPT-4o
GLM 5.2
Normalized 0-100%
MMLU
88.7%-
MMLU-Pro
72.6%86%
GPQA Diamond
53.6%-
MATH-500
76.6%-
HumanEval
90.2%-
SWE-bench Verified
30.8%-
GSM8K
95.8%-
IFEval
84.3%-
BBH
83.7%-
ARC-Challenge
96.4%-
HellaSwag
95.3%-
Arena Elo
1286-
LiveBench
64.3%-
BigCodeBench
51.1%-
SimpleQA
38.2%-
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-4oStrong Performer

Scores 71/100 (rank #114), placing it in the top 61% 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

With only a 2-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-4o when you need:

  • Multimodal workflows that require image understanding

Choose GLM 5.2 when you need:

  • 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-4o
Input cost$2.50/M tokens
Output cost$10.00/M tokens
Cost per quality point$0.176
Est. monthly (1M tokens/day)$187.50
GLM 5.2Best Value
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

GLM 5.2 offers 44% better value per quality point. At 1M tokens/day, you'd spend $105.51/month with GLM 5.2 vs $187.50/month with GPT-4o - a $81.99 monthly difference.

Latency & Speed
GPT-4oFaster
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-4o

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-4o

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 ($7.00/M) reduces costs when processing thousands of records daily

GLM 5.2

Creative writing & content

Higher overall composite score (71/100) correlates with better nuance, coherence, and style in long-form content

GPT-4o

Image understanding & OCR

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

GPT-4o
Which Should You Choose?
Our recommendation:
GPT-4o

GPT-4o and GLM 5.2 are extremely close in overall performance (only 2.299999999999997 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

GPT-4o
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 - 44% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-4oGLM 5.2
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-4o

OpenAI

$16.50
estimated monthly cost

GLM 5.2

Zhipu AI

Best Value
$8.46
estimated monthly cost

GLM 5.2 saves you $8.04/month

That's 49% cheaper than GPT-4o 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-4oGLM 5.2
Context Window128K1.0M
Max Output Tokens16,384943,718
Open SourceNoYes
CreatedMay 13, 2024Jun 16, 2026
Last updated: 21m ago

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GPT-4o vs GLM 5.2 (2026) | LM Market Cap