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Comparisons

Deepseek Coder 33B Instruct vs Qwen3 Next 80B A3b Thinking

On provider list prices, Deepseek Coder 33B Instruct costs $0.80 per million input tokens against $0.15 for Qwen3 Next 80B A3b Thinking: effectively level. Output is $0.80 against $1.50 (1.9x). On Allocate both bill at list plus the 7% transaction fee.

Deepseek Coder 33B Instruct Qwen3 Next 80B A3b Thinking
LabDeepseekQwen
AccessOpen weightsOpen weights
Context window16K tokens256K tokens
List price, input$0.8 / M tokens$0.15 / M tokens
List price, output$0.8 / M tokens$1.5 / M tokens
Cached inputn/an/a
LicenseCustom licenseApache 2.0
Fine-tunableYesYes

Specifications 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 $1,240 on Deepseek Coder 33B Instruct at list: a gap of $535, or 1.8x.

Qwen3 Next 80B A3b Thinking reads 256K tokens per request against 16K for Deepseek Coder 33B Instruct, 16.0x the window. That decides which one can take whole documents without splitting them.

Qwen3 Next 80B A3b Thinking$0.15$1.50
Deepseek Coder 33B Instruct$0.80$0.80
InputOutput

Choose Deepseek Coder 33B Instruct for

  • Training toward a model you own
Deepseek Coder 33B Instruct details

Choose Qwen3 Next 80B A3b Thinking for

  • The lower list price ($0.15 in / $1.50 out per M tokens)
  • The longer context window (256K vs 16K tokens)
  • Fine-tuning under a permissive license (Apache 2.0)
Qwen3 Next 80B A3b Thinking details

Common questions

Which is cheaper, Deepseek Coder 33B Instruct 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 $0.80/$0.80 for Deepseek Coder 33B Instruct. Billed on Allocate: $0.16/$1.60 against $0.86/$0.86, list plus 7%.

Which has the bigger context window?

Qwen3 Next 80B A3b Thinking: 262,144 tokens (256K) against 16,384 (16K) for Deepseek Coder 33B Instruct.

Can I fine-tune Deepseek Coder 33B Instruct or Qwen3 Next 80B A3b Thinking?

Both publish open weights (Deepseek Coder 33B Instruct: Custom license; 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

Deepseek Coder 33B Instruct vs Qwen 2.5 14B InstructDeepseek Coder 33B Instruct vs Qwen 2.5 Coder 32B InstructDeepseek Coder 33B Instruct vs Qwen3.7 PlusDeepseek Coder 33B Instruct vs Qwen3 Next 80B A3b InstructQwen3 Next 80B A3b Thinking vs Qwen3 Next 80B A3b InstructQwen3 Next 80B A3b Thinking vs Qwen3 Coder Next Fp8

Run the numbers on your workload

LLM price comparisonAgent cost calculatorDeepseek Coder 33B InstructQwen3 Next 80B A3b Thinking

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.

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