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GLM-5 Turbo vs Grok 4

Complete pricing and performance comparison between Zhipu's GLM-5 Turbo and xAI's Grok 4.

Quick Verdict

Cheaper
GLM-5 Turbo
2.5x cheaper input, 3.8x cheaper output
Larger Context
Grok 4
2.0M vs 200K

Pricing Comparison

SpecGLM-5 TurboGrok 4Difference
ProviderZhipuxAI
Input / 1M tokens$1.2$3GLM-5 Turbo is 60% more expensive
Output / 1M tokens$4$15GLM-5 Turbo is 73% more expensive
Context Window200K2.0M10x difference
Max Output128K16K

Performance Benchmarks

MetricGLM-5 TurboGrok 4Winner
Quality Index--42N/A
Output Speed--49 tok/sN/A
Value (Quality/$)--13.8Higher = 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 TurboGrok 4Savings
Single request
1K in / 300 out
$0.0024$0.0075GLM-5 Turbo saves $0.0051
10 requests
10K in / 3K out
$0.024$0.075GLM-5 Turbo saves $0.051
100 requests
100K in / 30K out
$0.240$0.750GLM-5 Turbo saves $0.510
1,000 requests
1M in / 300K out
$2.40$7.50GLM-5 Turbo saves $5.10
10,000 requests
10M in / 3M out
$24.00$75.00GLM-5 Turbo saves $51.00
1M requests/mo
1B in / 300M out
$2400.00$7500.00GLM-5 Turbo saves $5100.00

Pros & Cons

GLM-5 Turbo Strengths

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

Grok 4 Strengths

  • +Larger context window (2.0M 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 Grok 4 for

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

Frequently Asked Questions

Which is cheaper, GLM-5 Turbo or Grok 4?
For input tokens, GLM-5 Turbo is 2.5x cheaper at $1.2/1M tokens. For output tokens, GLM-5 Turbo is 3.8x cheaper at $4/1M tokens. At typical usage (1M input + 300K output), GLM-5 Turbo costs $2.40 vs Grok 4 at $7.50.
What's the context window difference?
GLM-5 Turbo supports 200K context (200,000 tokens), while Grok 4 supports 2.0M (2,000,000 tokens). Grok 4 can handle 10x more context in a single request.
Which model has better benchmarks?
When should I choose GLM-5 Turbo over Grok 4?
Choose GLM-5 Turbo when you need: Cheaper input tokens, Cheaper output tokens, Higher max output tokens. Choose Grok 4 when you need: Larger context window (2.0M 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, Grok 4 = $75.00. At 10K input + 1K output per request (longer conversations): GLM-5 Turbo = $160.00, Grok 4 = $450.00.

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