GLM 5.3 Prime vs Qwen3 235B A22B Thinking 2507
Price, context window & benchmark comparison
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Compare different models
Verdict: Qwen3 235B A22B Thinking 2507 is 5.8× 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 131K).
| GLM 5.3 Prime | Qwen3 235B A22B Thinking 2507 | |
|---|---|---|
| Input price / 1M | $2.80 | $0.23 |
| Output price / 1M | $8.80 | $2.30 |
| Blended price (3:1) | $4.30 | $0.75 |
| Cached input / 1M | $0.56 | — |
| Context window | 1M | 131K |
| Max output | 131K | 118K |
| Intelligence index | — | 12.7 |
| Coding index | — | 22.1 |
| Providers | 1 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2026-09-23 | 2025-07-25 |
| Retirement | — | — |
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FAQ
Which is cheaper, GLM 5.3 Prime or Qwen3 235B A22B Thinking 2507?
Qwen3 235B A22B Thinking 2507 is 5.8× cheaper than GLM 5.3 Prime on a typical 3:1 input/output mix.
GLM 5.3 Prime vs Qwen3 235B A22B Thinking 2507: which has a bigger context window?
GLM 5.3 Prime: 1,000,000 tokens. Qwen3 235B A22B Thinking 2507: 131,072 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: GLM 5.3 Prime ≈ $10,000, Qwen3 235B A22B Thinking 2507 ≈ $1,610.
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