AllocateQwen3 Coder Next Fp8 vs Qwen3 Next 80B A3b Thinking
On provider list prices, Qwen3 Next 80B A3b Thinking costs $0.15 per million input tokens against $0.50 for Qwen3 Coder Next Fp8: 3.3x apart. Output is $1.50 against $1.20. On Allocate both bill at list plus the 7% transaction fee.
Qwen3 Coder Next Fp8 Qwen3 Next 80B A3b ThinkingSpecifications 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 $705 a month on Qwen3 Next 80B A3b Thinking and $1,020 on Qwen3 Coder Next Fp8 at list: a gap of $315, or 1.4x.
Choose Qwen3 Coder Next Fp8 for
- Fine-tuning under a permissive license (Apache 2.0)
Choose Qwen3 Next 80B A3b Thinking for
- The lower list price ($0.15 in / $1.50 out per M tokens)
- Fine-tuning under a permissive license (Apache 2.0)
Common questions
Which is cheaper, Qwen3 Coder Next Fp8 or Qwen3 Next 80B A3b Thinking?
Qwen3 Next 80B A3b Thinking, on this workload shape. At list prices it is $0.15/$1.50 per million tokens in and out against $0.50/$1.20 for Qwen3 Coder Next Fp8. Billed on Allocate: $0.16/$1.60 against $0.54/$1.28, list plus 7%.
Which has the bigger context window?
They match: both read 262,144 tokens (256K) per request.
Can I fine-tune Qwen3 Coder Next Fp8 or Qwen3 Next 80B A3b Thinking?
Both publish open weights (Qwen3 Coder Next Fp8: Apache 2.0; Qwen3 Next 80B A3b Thinking: Apache 2.0), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.
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.