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GLM-5 Turbo vs GPT-5 Mini

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

Quick Verdict

Cheaper
GPT-5 Mini
4.8x cheaper input, 2.0x cheaper output
Larger Context
GPT-5 Mini
400K vs 200K

Pricing Comparison

SpecGLM-5 TurboGPT-5 MiniDifference
ProviderZhipuOpenAI
Input / 1M tokens$1.2$0.25GPT-5 Mini is 79% more expensive
Output / 1M tokens$4$2GPT-5 Mini is 50% more expensive
Context Window200K400K2x difference
Max Output128K16K
Tokenizercl100k_baseo200k_base

Performance Benchmarks

MetricGLM-5 TurboGPT-5 MiniWinner
Quality Index--41N/A
Output Speed--82 tok/sN/A
Value (Quality/$)--164.8Higher = 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-5 MiniSavings
Single request
1K in / 300 out
$0.0024$0.0008GPT-5 Mini saves $0.0015
10 requests
10K in / 3K out
$0.024$0.0085GPT-5 Mini saves $0.015
100 requests
100K in / 30K out
$0.240$0.085GPT-5 Mini saves $0.155
1,000 requests
1M in / 300K out
$2.40$0.850GPT-5 Mini saves $1.55
10,000 requests
10M in / 3M out
$24.00$8.50GPT-5 Mini saves $15.50
1M requests/mo
1B in / 300M out
$2400.00$850.00GPT-5 Mini saves $1550.00

Pros & Cons

GLM-5 Turbo Strengths

  • +Higher max output tokens

GPT-5 Mini Strengths

  • +Cheaper input tokens
  • +Cheaper output tokens
  • +Larger context window (400K vs 200K)

When to Use Each Model

Choose GLM-5 Turbo for

  • Generating long-form content or detailed code

Choose GPT-5 Mini for

  • Budget-conscious projects where cost is the primary factor
  • Long documents, large codebases, or multi-turn conversations

Frequently Asked Questions

Which is cheaper, GLM-5 Turbo or GPT-5 Mini?
For input tokens, GPT-5 Mini is 4.8x cheaper at $0.25/1M tokens. For output tokens, GPT-5 Mini is 2.0x cheaper at $2/1M tokens. At typical usage (1M input + 300K output), GLM-5 Turbo costs $2.40 vs GPT-5 Mini at $0.850.
What's the context window difference?
GLM-5 Turbo supports 200K context (200,000 tokens), while GPT-5 Mini supports 400K (400,000 tokens). GPT-5 Mini can handle 2x more context in a single request.
Which model has better benchmarks?
When should I choose GLM-5 Turbo over GPT-5 Mini?
Choose GLM-5 Turbo when you need: Higher max output tokens. Choose GPT-5 Mini when you need: Cheaper input tokens, Cheaper output tokens, 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 Mini = $8.50. At 10K input + 1K output per request (longer conversations): GLM-5 Turbo = $160.00, GPT-5 Mini = $45.00.

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