GLM 5.3 FlashX vs Qwen3.6 27B
Price, context window & benchmark comparison
VS
Compare different models
Verdict: GLM 5.3 FlashX is 36% cheaper than Qwen3.6 27B on a typical 3:1 input/output mix. GLM 5.3 FlashX has the larger context window (1M vs 262K).
| GLM 5.3 FlashX | Qwen3.6 27B | |
|---|---|---|
| Input price / 1M | $0.37 | $0.32 |
| Output price / 1M | $1.25 | $2.70 |
| Blended price (3:1) | $0.59 | $0.92 |
| Cached input / 1M | $0.09 | $0.15 |
| Context window | 1M | 262K |
| Max output | 131K | 262K |
| Intelligence index | — | 21.4 |
| Coding index | — | 53.7 |
| Providers | 1 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | Yes | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2026-09-18 | 2026-04-27 |
| Retirement | — | — |
Cost calculator
FAQ
Which is cheaper, GLM 5.3 FlashX or Qwen3.6 27B?
GLM 5.3 FlashX is 36% cheaper than Qwen3.6 27B on a typical 3:1 input/output mix.
GLM 5.3 FlashX vs Qwen3.6 27B: which has a bigger context window?
GLM 5.3 FlashX: 1,048,576 tokens. Qwen3.6 27B: 262,144 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: GLM 5.3 FlashX ≈ $1,365, Qwen3.6 27B ≈ $1,990.
More comparisons
GLM 5.3 FlashX vs GLM 5.3 PrimeGLM 5.3 FlashX vs Qwen3.8 Max PrimeGLM 5.3 FlashX vs Command A+GLM 5.3 FlashX vs GPT-6 Luna ProGLM 5.3 FlashX vs GPT-6 LunaGLM 5.3 FlashX vs GPT-6 Sol ProGLM 5.3 FlashX vs GPT-6 SolGLM 5.3 FlashX vs Claude Opus 5.5GLM 5.3 FlashX vs MiMo-V2.6-Pro-UltraSpeedGLM 5.3 FlashX vs MiMo-V2.6-FlashGLM 5.3 FlashX vs Grok 4.7GLM 5.3 FlashX vs Qwen3.8 Omni FlashGLM 5.3 FlashX vs DeepSeek V4.1 FlashGLM 5.3 FlashX vs GPT-6 AstraGLM 5.3 FlashX vs GPT-6 Astra ProGLM 5.3 FlashX vs Qwen3.8 Max (0902)Qwen3.6 27B vs GLM 5.3 PrimeQwen3.6 27B vs Qwen3.8 Max PrimeQwen3.6 27B vs Command A+Qwen3.6 27B vs GPT-6 Luna ProQwen3.6 27B vs GPT-6 LunaQwen3.6 27B vs GPT-6 Sol ProQwen3.6 27B vs GPT-6 SolQwen3.6 27B vs Claude Opus 5.5