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GLM-5 Turbo vs Llama 4 Maverick

Complete pricing and performance comparison between Zhipu's GLM-5 Turbo and Meta's Llama 4 Maverick.

Quick Verdict

Cheaper
Llama 4 Maverick
4.4x cheaper input, 4.7x cheaper output
Larger Context
Llama 4 Maverick
1.0M vs 200K

Pricing Comparison

SpecGLM-5 TurboLlama 4 MaverickDifference
ProviderZhipuMeta
Input / 1M tokens$1.2$0.27Llama 4 Maverick is 78% more expensive
Output / 1M tokens$4$0.85Llama 4 Maverick is 79% more expensive
Context Window200K1.0M5x difference
Max Output128K16K

Performance Benchmarks

MetricGLM-5 TurboLlama 4 MaverickWinner
Quality Index--18N/A
Output Speed--130 tok/sN/A
Value (Quality/$)--68.1Higher = 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 TurboLlama 4 MaverickSavings
Single request
1K in / 300 out
$0.0024$0.0005Llama 4 Maverick saves $0.0019
10 requests
10K in / 3K out
$0.024$0.0053Llama 4 Maverick saves $0.019
100 requests
100K in / 30K out
$0.240$0.053Llama 4 Maverick saves $0.188
1,000 requests
1M in / 300K out
$2.40$0.525Llama 4 Maverick saves $1.88
10,000 requests
10M in / 3M out
$24.00$5.25Llama 4 Maverick saves $18.75
1M requests/mo
1B in / 300M out
$2400.00$525.00Llama 4 Maverick saves $1875.00

Pros & Cons

GLM-5 Turbo Strengths

  • +Higher max output tokens

Llama 4 Maverick Strengths

  • +Cheaper input tokens
  • +Cheaper output tokens
  • +Larger context window (1.0M vs 200K)

When to Use Each Model

Choose GLM-5 Turbo for

  • Generating long-form content or detailed code

Choose Llama 4 Maverick 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 Llama 4 Maverick?
For input tokens, Llama 4 Maverick is 4.4x cheaper at $0.27/1M tokens. For output tokens, Llama 4 Maverick is 4.7x cheaper at $0.85/1M tokens. At typical usage (1M input + 300K output), GLM-5 Turbo costs $2.40 vs Llama 4 Maverick at $0.525.
What's the context window difference?
GLM-5 Turbo supports 200K context (200,000 tokens), while Llama 4 Maverick supports 1.0M (1,048,576 tokens). Llama 4 Maverick can handle 5x more context in a single request.
Which model has better benchmarks?
When should I choose GLM-5 Turbo over Llama 4 Maverick?
Choose GLM-5 Turbo when you need: Higher max output tokens. Choose Llama 4 Maverick when you need: Cheaper input tokens, Cheaper output tokens, Larger context window (1.0M 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, Llama 4 Maverick = $5.25. At 10K input + 1K output per request (longer conversations): GLM-5 Turbo = $160.00, Llama 4 Maverick = $35.50.

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