AllocateQwen 2 Instruct (1.5B) vs Ox Alpha
On provider list prices, Ox Alpha costs $0 per million input tokens against $0.02 for Qwen 2 Instruct (1.5B): 200.0x apart. Output is $0 against $0.02 (200.0x).
Qwen 2 Instruct (1.5B)O Ox AlphaSpecifications and provider list prices from the Allocate catalog, checked 2026-07-21.
What the numbers say
Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $0 a month on Ox Alpha and $31 on Qwen 2 Instruct (1.5B) at list: a gap of $31, or Infinityx.
Ox Alpha reads 1M tokens per request against 32K for Qwen 2 Instruct (1.5B), 32.0x the window. That decides which one can take whole documents without splitting them.
Choose Qwen 2 Instruct (1.5B) for
- Open weights you can fine-tune and own
Choose Ox Alpha for
- The lower list price ($0 in / $0 out per M tokens)
- The longer context window (1M vs 32K tokens)
Common questions
Which is cheaper, Qwen 2 Instruct (1.5B) or Ox Alpha?
Ox Alpha, on this workload shape. At list prices it is $0/$0 per million tokens in and out against $0.02/$0.02 for Qwen 2 Instruct (1.5B). Billed on Allocate: $0/$0 against $0.021/$0.021.
Which has the bigger context window?
Ox Alpha: 1,048,576 tokens (1M) against 32,768 (32K) for Qwen 2 Instruct (1.5B).
Can I fine-tune Qwen 2 Instruct (1.5B) or Ox Alpha?
Qwen 2 Instruct (1.5B) publishes open weights (Qwen license) and can be fine-tuned on your own data. Ox Alpha 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.