GLM 5.3 Prime vs Qwen3.5-9B
Price, context window & benchmark comparison
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Compare different models
Verdict: Qwen3.5-9B is 38.2× cheaper than GLM 5.3 Prime on a typical 3:1 input/output mix. GLM 5.3 Prime has the larger context window (1M vs 262K).
| GLM 5.3 Prime | Qwen3.5-9B | |
|---|---|---|
| Input price / 1M | $2.80 | $0.10 |
| Output price / 1M | $8.80 | $0.15 |
| Blended price (3:1) | $4.30 | $0.11 |
| Cached input / 1M | $0.56 | — |
| Context window | 1M | 262K |
| Max output | 131K | 33K |
| Intelligence index | — | — |
| Coding index | — | 28.7 |
| Providers | 1 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | No | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2026-09-23 | 2026-03-10 |
| Retirement | — | — |
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FAQ
Which is cheaper, GLM 5.3 Prime or Qwen3.5-9B?
Qwen3.5-9B is 38.2× cheaper than GLM 5.3 Prime on a typical 3:1 input/output mix.
GLM 5.3 Prime vs Qwen3.5-9B: which has a bigger context window?
GLM 5.3 Prime: 1,000,000 tokens. Qwen3.5-9B: 262,144 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: GLM 5.3 Prime ≈ $10,000, Qwen3.5-9B ≈ $275.00.
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