GLM 5.3 vs Kimi K2.6
Price, context window & benchmark comparison
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Verdict: GLM 5.3 is 25% cheaper than Kimi K2.6 on a typical 3:1 input/output mix. GLM 5.3 scores higher on the Artificial Analysis Intelligence Index (44.8 vs 27). GLM 5.3 has the larger context window (1.3M vs 262K).
| GLM 5.3 | Kimi K2.6 | |
|---|---|---|
| Input price / 1M | $0.84 | $0.95 |
| Output price / 1M | $2.64 | $4.00 |
| Blended price (3:1) | $1.29 | $1.71 |
| Cached input / 1M | $0.16 | $0.16 |
| Context window | 1.3M | 262K |
| Max output | 131K | 236K |
| Intelligence index | 44.8 | 27 |
| Coding index | 74.8 | 61.8 |
| Providers | 34 | 22 |
| Best provider uptime (30m) | 100.0% | 100.0% |
| Vision input | No | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2026-08-18 | 2026-04-20 |
| Retirement | — | — |
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FAQ
Which is cheaper, GLM 5.3 or Kimi K2.6?
GLM 5.3 is 25% cheaper than Kimi K2.6 on a typical 3:1 input/output mix.
GLM 5.3 vs Kimi K2.6: which has a bigger context window?
GLM 5.3: 1,310,720 tokens. Kimi K2.6: 262,144 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: GLM 5.3 ≈ $3,000, Kimi K2.6 ≈ $3,900.
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