AllocateQwen3.7 Max vs GLM 5.2
On provider list prices, Qwen3.7 Max costs $1.25 per million input tokens against $1.40 for GLM 5.2: 1.1x apart. Output is $3.75 against $4.40 (1.2x). On Allocate both bill at list plus the 7% transaction fee.
Qwen3.7 MaxG GLM 5.2Specifications and provider list prices from the Allocate catalog, checked 2026-07-08. Billed price is list plus the 7% transaction fee.
What the numbers say
Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $2,813 a month on Qwen3.7 Max and $3,220 on GLM 5.2 at list: a gap of $407.50.
Qwen3.7 Max reads 1M tokens per request against 256K for GLM 5.2, 3.8x the window. That decides which one can take whole documents without splitting them.
Choose Qwen3.7 Max for
- The lower list price ($1.25 in / $3.75 out per M tokens)
- The longer context window (1M vs 256K tokens)
Choose GLM 5.2 for
- Agents on open weights
- Code and structured outputs
- Fine-tuning toward an owned model
Common questions
Which is cheaper, Qwen3.7 Max or GLM 5.2?
Qwen3.7 Max, on this workload shape. At list prices it is $1.25/$3.75 per million tokens in and out against $1.40/$4.40 for GLM 5.2. Billed on Allocate: $1.34/$4.01 against $1.50/$4.71, list plus 7%.
Which has the bigger context window?
Qwen3.7 Max: 1,000,000 tokens (1M) against 262,144 (256K) for GLM 5.2.
Can I fine-tune Qwen3.7 Max or GLM 5.2?
GLM 5.2 publishes open weights (Not listed) and can be fine-tuned on your own data. Qwen3.7 Max is a closed model served over API; its weights are not available.
Related comparisons
Run the numbers on your workload
Or don’t choose. On Allocate a route name is the contract: point yours at one model today, swap to the other tomorrow, and compare them on your live traffic with per-token metering.