GLM-5 Turbo vs Kimi K2.5
Complete pricing and performance comparison between Zhipu's GLM-5 Turbo and Moonshot's Kimi K2.5.
Quick Verdict
Cheaper
Kimi K2.5
2.0x cheaper input, 1.3x cheaper output
Larger Context
GLM-5 Turbo
200K vs 128K
Pricing Comparison
| Spec | GLM-5 Turbo | Kimi K2.5 | Difference |
|---|---|---|---|
| Provider | Zhipu | Moonshot | |
| Input / 1M tokens | $1.2 | $0.6 | Kimi K2.5 is 50% more expensive |
| Output / 1M tokens | $4 | $3 | Kimi K2.5 is 25% more expensive |
| Context Window | 200K | 128K | 2x difference |
| Max Output | 128K | 33K |
Performance Benchmarks
| Metric | GLM-5 Turbo | Kimi K2.5 | Winner |
|---|---|---|---|
| Quality Index | -- | 47 | N/A |
| Output Speed | -- | 46 tok/s | N/A |
| Value (Quality/$) | -- | 78.0 | 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).
| Usage | GLM-5 Turbo | Kimi K2.5 | Savings |
|---|---|---|---|
Single request 1K in / 300 out | $0.0024 | $0.0015 | Same |
10 requests 10K in / 3K out | $0.024 | $0.015 | Kimi K2.5 saves $0.0090 |
100 requests 100K in / 30K out | $0.240 | $0.150 | Kimi K2.5 saves $0.090 |
1,000 requests 1M in / 300K out | $2.40 | $1.50 | Kimi K2.5 saves $0.900 |
10,000 requests 10M in / 3M out | $24.00 | $15.00 | Kimi K2.5 saves $9.00 |
1M requests/mo 1B in / 300M out | $2400.00 | $1500.00 | Kimi K2.5 saves $900.00 |
Pros & Cons
GLM-5 Turbo Strengths
- +Larger context window (200K vs 128K)
- +Higher max output tokens
Kimi K2.5 Strengths
- +Cheaper input tokens
- +Cheaper output tokens
When to Use Each Model
Choose GLM-5 Turbo for
- →Long documents, large codebases, or multi-turn conversations
- →Generating long-form content or detailed code
Choose Kimi K2.5 for
- →Budget-conscious projects where cost is the primary factor
Frequently Asked Questions
Which is cheaper, GLM-5 Turbo or Kimi K2.5?
For input tokens, Kimi K2.5 is 2.0x cheaper at $0.6/1M tokens. For output tokens, Kimi K2.5 is 1.3x cheaper at $3/1M tokens. At typical usage (1M input + 300K output), GLM-5 Turbo costs $2.40 vs Kimi K2.5 at $1.50.
What's the context window difference?
GLM-5 Turbo supports 200K context (200,000 tokens), while Kimi K2.5 supports 128K (128,000 tokens). GLM-5 Turbo can handle 2x more context in a single request.
Which model has better benchmarks?
When should I choose GLM-5 Turbo over Kimi K2.5?
Choose GLM-5 Turbo when you need: Larger context window (200K vs 128K), Higher max output tokens. Choose Kimi K2.5 when you need: Cheaper input tokens, Cheaper output tokens.
How much would 10,000 API requests cost?
At 1K input + 300 output tokens per request (typical chat): GLM-5 Turbo = $24.00, Kimi K2.5 = $15.00. At 10K input + 1K output per request (longer conversations): GLM-5 Turbo = $160.00, Kimi K2.5 = $90.00.