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Gemini 3 Pro vs GLM-5 Turbo

Complete pricing and performance comparison between Google's Gemini 3 Pro and Zhipu's GLM-5 Turbo.

Quick Verdict

Cheaper
GLM-5 Turbo
1.7x cheaper input, 3.0x cheaper output
Larger Context
Gemini 3 Pro
1.0M vs 200K

Pricing Comparison

SpecGemini 3 ProGLM-5 TurboDifference
ProviderGoogleZhipu
Input / 1M tokens$2$1.2GLM-5 Turbo is 40% more expensive
Output / 1M tokens$12$4GLM-5 Turbo is 67% more expensive
Context Window1.0M200K5x difference
Max Output66K128K

Performance Benchmarks

MetricGemini 3 ProGLM-5 TurboWinner
Quality Index48--N/A
Output Speed120 tok/s--N/A
Value (Quality/$)24.2--Higher = 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).

UsageGemini 3 ProGLM-5 TurboSavings
Single request
1K in / 300 out
$0.0056$0.0024GLM-5 Turbo saves $0.0032
10 requests
10K in / 3K out
$0.056$0.024GLM-5 Turbo saves $0.032
100 requests
100K in / 30K out
$0.560$0.240GLM-5 Turbo saves $0.320
1,000 requests
1M in / 300K out
$5.60$2.40GLM-5 Turbo saves $3.20
10,000 requests
10M in / 3M out
$56.00$24.00GLM-5 Turbo saves $32.00
1M requests/mo
1B in / 300M out
$5600.00$2400.00GLM-5 Turbo saves $3200.00

Pros & Cons

Gemini 3 Pro Strengths

  • +Larger context window (1.0M vs 200K)

GLM-5 Turbo Strengths

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

When to Use Each Model

Choose Gemini 3 Pro for

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

Choose GLM-5 Turbo for

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

Frequently Asked Questions

Which is cheaper, Gemini 3 Pro or GLM-5 Turbo?
For input tokens, GLM-5 Turbo is 1.7x cheaper at $1.2/1M tokens. For output tokens, GLM-5 Turbo is 3.0x cheaper at $4/1M tokens. At typical usage (1M input + 300K output), Gemini 3 Pro costs $5.60 vs GLM-5 Turbo at $2.40.
What's the context window difference?
Gemini 3 Pro supports 1.0M context (1,048,576 tokens), while GLM-5 Turbo supports 200K (200,000 tokens). Gemini 3 Pro can handle 5x more context in a single request.
Which model has better benchmarks?
When should I choose Gemini 3 Pro over GLM-5 Turbo?
Choose Gemini 3 Pro when you need: Larger context window (1.0M vs 200K). Choose GLM-5 Turbo when you need: Cheaper input tokens, Cheaper output tokens, Higher max output tokens.
How much would 10,000 API requests cost?
At 1K input + 300 output tokens per request (typical chat): Gemini 3 Pro = $56.00, GLM-5 Turbo = $24.00. At 10K input + 1K output per request (longer conversations): Gemini 3 Pro = $320.00, GLM-5 Turbo = $160.00.

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