AllocateDeepSeek V4 vs Qwen3.7 Max
On provider list prices, Qwen3.7 Max costs $1.25 per million input tokens against $1.74 for DeepSeek V4: 1.4x apart. Output is $3.75 against $3.48. On Allocate both bill at list plus the 7% transaction fee.
DeepSeek V4
Qwen3.7 MaxSpecifications 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 $3,306 on DeepSeek V4 at list: a gap of $493.50, or 1.2x.
Qwen3.7 Max reads 1M tokens per request against 512K for DeepSeek V4, 2.0x the window. That decides which one can take whole documents without splitting them.
Choose DeepSeek V4 for
- Reasoning-heavy agents
- Long-document analysis
- Cost-sensitive production routes
Choose Qwen3.7 Max for
- The lower list price ($1.25 in / $3.75 out per M tokens)
- The longer context window (1M vs 512K tokens)
Common questions
Which is cheaper, DeepSeek V4 or Qwen3.7 Max?
Qwen3.7 Max, on this workload shape. At list prices it is $1.25/$3.75 per million tokens in and out against $1.74/$3.48 for DeepSeek V4. Billed on Allocate: $1.34/$4.01 against $1.86/$3.72, list plus 7%.
Which has the bigger context window?
Qwen3.7 Max: 1,000,000 tokens (1M) against 512,000 (512K) for DeepSeek V4.
Can I fine-tune DeepSeek V4 or Qwen3.7 Max?
No. Both are closed models served over API. If you want a model you can train and own, start from an open-weights base in the catalog.
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.