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GLM-5 Turbo vs GPT-5

Complete pricing and performance comparison between Zhipu's GLM-5 Turbo and OpenAI's GPT-5.

Quick Verdict

Cheaper
GLM-5 Turbo
1.0x cheaper input, 2.5x cheaper output
Larger Context
GPT-5
400K vs 200K

Pricing Comparison

SpecGLM-5 TurboGPT-5Difference
ProviderZhipuOpenAI
Input / 1M tokens$1.2$1.25GLM-5 Turbo is 4% more expensive
Output / 1M tokens$4$10GLM-5 Turbo is 60% more expensive
Context Window200K400K2x difference
Max Output128K16K
Tokenizercl100k_baseo200k_base

Performance Benchmarks

MetricGLM-5 TurboGPT-5Winner
Quality Index--45N/A
Output Speed--60 tok/sN/A
Value (Quality/$)--35.7Higher = better value

Benchmark data from Artificial Analysis. Quality Index is a composite score across reasoning, coding, and knowledge tasks.

Cost at Scale

Estimated cost at different usage levels (3:1 input-to-output token ratio, typical for chat).

UsageGLM-5 TurboGPT-5Savings
Single request
1K in / 300 out
$0.0024$0.0042GLM-5 Turbo saves $0.0018
10 requests
10K in / 3K out
$0.024$0.042GLM-5 Turbo saves $0.018
100 requests
100K in / 30K out
$0.240$0.425GLM-5 Turbo saves $0.185
1,000 requests
1M in / 300K out
$2.40$4.25GLM-5 Turbo saves $1.85
10,000 requests
10M in / 3M out
$24.00$42.50GLM-5 Turbo saves $18.50
1M requests/mo
1B in / 300M out
$2400.00$4250.00GLM-5 Turbo saves $1850.00

Pros & Cons

GLM-5 Turbo Strengths

  • +Cheaper input tokens
  • +Cheaper output tokens
  • +Higher max output tokens

GPT-5 Strengths

  • +Larger context window (400K vs 200K)

When to Use Each Model

Choose GLM-5 Turbo for

  • Budget-conscious projects where cost is the primary factor
  • Generating long-form content or detailed code

Choose GPT-5 for

  • Long documents, large codebases, or multi-turn conversations

Frequently Asked Questions

Which is cheaper, GLM-5 Turbo or GPT-5?
For input tokens, GLM-5 Turbo is 1.0x cheaper at $1.2/1M tokens. For output tokens, GLM-5 Turbo is 2.5x cheaper at $4/1M tokens. At typical usage (1M input + 300K output), GLM-5 Turbo costs $2.40 vs GPT-5 at $4.25.
What's the context window difference?
GLM-5 Turbo supports 200K context (200,000 tokens), while GPT-5 supports 400K (400,000 tokens). GPT-5 can handle 2x more context in a single request.
Which model has better benchmarks?
When should I choose GLM-5 Turbo over GPT-5?
Choose GLM-5 Turbo when you need: Cheaper input tokens, Cheaper output tokens, Higher max output tokens. Choose GPT-5 when you need: Larger context window (400K vs 200K).
How much would 10,000 API requests cost?
At 1K input + 300 output tokens per request (typical chat): GLM-5 Turbo = $24.00, GPT-5 = $42.50. At 10K input + 1K output per request (longer conversations): GLM-5 Turbo = $160.00, GPT-5 = $225.00.

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