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GPT-5.5 vs GLM 5.2

GPT-5.5

OpenAI

93#11
vs
GLM 5.2

Zhipu AI

69#136
Signal-by-Signal Comparison
SignalGPT-5.5DeltaGLM 5.2
Capabilities
100
+33
67
Benchmarks
93
+24
69
Pricing
70
-23
93
Context window size
96
+0
96
Recency
99
-1
100
Output Capacity
82
-14
96
Overall Result
3 wins
of 6
3 wins
It's a tie - both models win 3 signals each

Score History

Score History (28 data points)
GPT-5.5GLM 5.2
GPT-5.5

92.7

current score

Leader

GPT-5.5

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-5.5

OpenAI

Per request$0.020000
Daily$66.67
Monthly$2000.00
Annual$24000.00

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 $1646.59/month

That's $19759.08/year compared to GPT-5.5 at your current usage level of 100K calls/month.

82% cheaper
Choose GLM 5.2 for cost optimization

GPT-5.5 pricing:
Input:$5.00/M tokens
Output:$30.00/M tokens
GLM 5.2 pricing:
Input:$0.03/M tokens
Output:$7.00/M tokens
Winner
GPT-5.5

OpenAI

93

Composite Score

GLM 5.2

Zhipu AI

69

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.5GLM 5.2Winner
Overall Score
93
69
GPT-5.5
Rank#11#136
GPT-5.5
Quality Rank#11#136
GPT-5.5
Adoption Rank#11#136
GPT-5.5
Parameters------
Context Window1050K1049K
GPT-5.5
Pricing$5.00/$30.00/M$0.03/$7.00/M--
Signal Scores
Capabilities
100
67
GPT-5.5
Benchmarks
93
69
GPT-5.5
Pricing
70
93
GLM 5.2
Context window size
96
96
GPT-5.5
Recency
99
100
GLM 5.2
Output Capacity
82
96
GLM 5.2
Benchmark Head-to-Head(6 benchmarks)
GPT-5.5: 0GLM 5.2: 0
GPT-5.5
GLM 5.2
Normalized 0-100%
MMLU
92.4%-
MMLU-Pro
-86%
GPQA Diamond
93.6%-
SWE-bench Verified
88.7%-
Arena Elo
1475-
HLE
41.4%-
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-5.5Elite Tier

Scores 93/100 (rank #11), placing it in the top 97% 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-5.5 has a 24-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-5.5 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
  • 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-5.5
Input cost$5.00/M tokens
Output cost$30.00/M tokens
Cost per quality point$0.378
Est. monthly (1M tokens/day)$525.00
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 80% better value per quality point. At 1M tokens/day, you'd spend $105.51/month with GLM 5.2 vs $525.00/month with GPT-5.5 - a $419.49 monthly difference.

Latency & Speed
GPT-5.5Faster
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-5.5

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-5.5

Long document analysis

Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-5.5

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 (93/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.5

Image understanding & OCR

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

GPT-5.5
Which Should You Choose?
Our recommendation:
GPT-5.5

GPT-5.5 clearly outperforms GLM 5.2 with a significant 23.799999999999997-point lead. For most general use cases, GPT-5.5 is the stronger choice. However, GLM 5.2 may still excel in niche scenarios.

GPT-5.5
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 - 80% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.5GLM 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-5.5

OpenAI

$45.00
estimated monthly cost

GLM 5.2

Zhipu AI

Best Value
$8.46
estimated monthly cost

GLM 5.2 saves you $36.54/month

That's 81% cheaper than GPT-5.5 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-5.5GLM 5.2
Context Window1.1M1.0M
Max Output Tokens128,000943,718
Open SourceNoYes
CreatedApr 24, 2026Jun 16, 2026
Last updated: 34m ago

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