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GPT-5.5 Pro vs GLM 5.2

GPT-5.5 Pro

OpenAI

92#6
vs
GLM 5.2

Zhipu AI

76#65
Signal-by-Signal Comparison
SignalGPT-5.5 ProDeltaGLM 5.2
Capabilities
100
+33
67
Benchmarks
92
+17
74
Pricing
5
-92
97
Context window size
86
--
86
Recency
100
--
100
Output Capacity
85
--
85
Overall Result
2 wins
of 6
1 wins
GPT-5.5 Pro wins 2 of 6 signals

Score History

Score History (13 data points)
GPT-5.5 ProGLM 5.2
GPT-5.5 Pro

92.2

current score

Leader

GPT-5.5 Pro

right now

GLM 5.2

75.8

current score

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

GPT-5.5 Pro

OpenAI

Per request$0.120000
Daily$400.00
Monthly$12000.00
Annual$144000.00

GLM 5.2

Zhipu AI

Best Value
Per request$0.002390
Daily$7.97
Monthly$239.04
Annual$2868.48

GLM 5.2 saves you $11760.96/month

That's $141131.52/year compared to GPT-5.5 Pro at your current usage level of 100K calls/month.

98% cheaper
Choose GLM 5.2 for cost optimization

GPT-5.5 Pro pricing:
Input:$30.00/M tokens
Output:$180.00/M tokens
GLM 5.2 pricing:
Input:$0.93/M tokens
Output:$2.92/M tokens
Winner
GPT-5.5 Pro

OpenAI

92

Composite Score

GLM 5.2

Zhipu AI

76

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.5 ProGLM 5.2Winner
Overall Score
92
76
GPT-5.5 Pro
Rank#6#65
GPT-5.5 Pro
Quality Rank#6#65
GPT-5.5 Pro
Adoption Rank#6#65
GPT-5.5 Pro
Parameters------
Context Window1050K1049K
GPT-5.5 Pro
Pricing$30.00/$180.00/M$0.93/$2.92/M--
Signal Scores
Capabilities
100
67
GPT-5.5 Pro
Benchmarks
92
74
GPT-5.5 Pro
Pricing
5
97
GLM 5.2
Context window size
86
86
GPT-5.5 Pro
Recency
100
100
GPT-5.5 Pro
Output Capacity
85
85
GPT-5.5 Pro
Benchmark Head-to-Head(4 benchmarks)
GPT-5.5 Pro: 0GLM 5.2: 0
GPT-5.5 Pro
GLM 5.2
Normalized 0-100%
MMLU
92.4%-
GPQA Diamond
93.6%-
SWE-bench Verified
88.7%-
Arena Elo
-1457
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-5.5 ProElite Tier

Scores 92/100 (rank #6), placing it in the top 98% of all 290 models tracked.

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

Scores 76/100 (rank #65), placing it in the top 78% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.5 Pro has a 16-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 Pro 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 Pro
Input cost$30.00/M tokens
Output cost$180.00/M tokens
Cost per quality point$2.278
Est. monthly (1M tokens/day)$3150.00
GLM 5.2Best Value
Input cost$0.93/M tokens
Output cost$2.92/M tokens
Cost per quality point$0.051
Est. monthly (1M tokens/day)$57.77

GLM 5.2 offers 98% better value per quality point. At 1M tokens/day, you'd spend $57.77/month with GLM 5.2 vs $3150.00/month with GPT-5.5 Pro - a $3092.23 monthly difference.

Latency & Speed
GPT-5.5 ProFaster
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 Pro

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 Pro

Long document analysis

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

GPT-5.5 Pro

Batch data extraction

Lower output pricing ($2.92/M) reduces costs when processing thousands of records daily

GLM 5.2

Creative writing & content

Higher overall composite score (92/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.5 Pro

Image understanding & OCR

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

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

GPT-5.5 Pro clearly outperforms GLM 5.2 with a significant 16.400000000000006-point lead. For most general use cases, GPT-5.5 Pro is the stronger choice. However, GLM 5.2 may still excel in niche scenarios.

GPT-5.5 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 - 98% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.5 ProGLM 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 Pro

OpenAI

$270.00
estimated monthly cost

GLM 5.2

Zhipu AI

Best Value
$5.18
estimated monthly cost

GLM 5.2 saves you $264.82/month

That's 98% cheaper than GPT-5.5 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-5.5 ProGLM 5.2
Context Window1.1M1.0M
Max Output Tokens128,000128,000
Open SourceNoYes
CreatedApr 24, 2026Jun 16, 2026
Last updated: 13m ago

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