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GPT-5.5 vs GLM 5

GPT-5.5

OpenAI

93#12
vs
GLM 5

Zhipu AI

78#109
Signal-by-Signal Comparison
SignalGPT-5.5DeltaGLM 5
Capabilities
100
+33
67
Benchmarks
93
+12
81
Pricing
70
-28
98
Context window size
96
+11
84
Recency
100
+6
94
Output Capacity
82
--
82
Overall Result
4 wins
of 6
1 wins
GPT-5.5 wins 4 of 6 signals

Score History

Score History (25 data points)
GPT-5.5GLM 5
GPT-5.5

92.7

current score

Leader

GPT-5.5

right now

GLM 5

78

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

Zhipu AI

Best Value
Per request$0.001560
Daily$5.20
Monthly$156.00
Annual$1872.00

GLM 5 saves you $1844.00/month

That's $22128.00/year compared to GPT-5.5 at your current usage level of 100K calls/month.

92% cheaper
Choose GLM 5 for cost optimization

GPT-5.5 pricing:
Input:$5.00/M tokens
Output:$30.00/M tokens
GLM 5 pricing:
Input:$0.60/M tokens
Output:$1.92/M tokens
Winner
GPT-5.5

OpenAI

93

Composite Score

GLM 5

Zhipu AI

78

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.5GLM 5Winner
Overall Score
93
78
GPT-5.5
Rank#12#109
GPT-5.5
Quality Rank#12#109
GPT-5.5
Adoption Rank#12#109
GPT-5.5
Parameters------
Context Window1050K205K
GPT-5.5
Pricing$5.00/$30.00/M$0.60/$1.92/M--
Signal Scores
Capabilities
100
67
GPT-5.5
Benchmarks
93
81
GPT-5.5
Pricing
70
98
GLM 5
Context window size
96
84
GPT-5.5
Recency
100
94
GPT-5.5
Output Capacity
82
82
GPT-5.5
Benchmark Head-to-Head(6 benchmarks)
GPT-5.5: 1GLM 5: 0
GPT-5.5
GLM 5
Normalized 0-100%
MMLU
92.4%-
MMLU-Pro
-86%
GPQA Diamond
93.6%-
SWE-bench Verified
88.7%-
Arena Elo
14751458
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 #12), placing it in the top 96% of all 290 models tracked.

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

Scores 78/100 (rank #109), placing it in the top 63% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.5 has a 15-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-5.5 when you need:

  • Processing long documents or large codebases (1050K 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-5.5
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 5Best Value
Input cost$0.60/M tokens
Output cost$1.92/M tokens
Cost per quality point$0.032
Est. monthly (1M tokens/day)$37.80

GLM 5 offers 93% better value per quality point. At 1M tokens/day, you'd spend $37.80/month with GLM 5 vs $525.00/month with GPT-5.5 - a $487.20 monthly difference.

Latency & Speed
GPT-5.5Faster
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-5.5

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-5.5

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 ($1.92/M) reduces costs when processing thousands of records daily

GLM 5

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 with a significant 14.700000000000003-point lead. For most general use cases, GPT-5.5 is the stronger choice. However, GLM 5 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 - 93% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.5GLM 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-5.5

OpenAI

$45.00
estimated monthly cost

GLM 5

Zhipu AI

Best Value
$3.38
estimated monthly cost

GLM 5 saves you $41.62/month

That's 92% 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
Context Window1.1M205K
Max Output Tokens128,000128,000
Open SourceNoYes
CreatedApr 24, 2026Feb 11, 2026
Last updated: 48m ago

相关对比

GPT-5.5 vs GLM 5 (2026) | LM Market Cap