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Comparisons

Deepseek Coder 33B Instruct vs Qwen 2.5 14B Instruct

On provider list prices, Deepseek Coder 33B Instruct costs $0.80 per million input tokens against $0.80 for Qwen 2.5 14B Instruct: effectively level. Output is $0.80 against $0.80. On Allocate both bill at list plus the 7% transaction fee.

Deepseek Coder 33B Instruct Qwen 2.5 14B Instruct
LabDeepseekQwen
AccessOpen weightsOpen weights
Context window16K tokens32K tokens
List price, input$0.8 / M tokens$0.8 / M tokens
List price, output$0.8 / M tokens$0.8 / 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 $1,240 a month on Deepseek Coder 33B Instruct and $1,240 on Qwen 2.5 14B Instruct at list: a gap of $0.

Qwen 2.5 14B Instruct reads 32K tokens per request against 16K for Deepseek Coder 33B Instruct, 2.0x the window. That decides which one can take whole documents without splitting them.

Deepseek Coder 33B Instruct$0.80$0.80
Qwen 2.5 14B Instruct$0.80$0.80
InputOutput

Choose Deepseek Coder 33B Instruct for

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

Choose Qwen 2.5 14B Instruct for

  • The longer context window (32K vs 16K tokens)
  • Fine-tuning under a permissive license (Apache 2.0)
Qwen 2.5 14B Instruct details

Common questions

Which is cheaper, Deepseek Coder 33B Instruct or Qwen 2.5 14B Instruct?

Deepseek Coder 33B Instruct, on this workload shape. At list prices it is $0.80/$0.80 per million tokens in and out against $0.80/$0.80 for Qwen 2.5 14B Instruct. Billed on Allocate: $0.86/$0.86 against $0.86/$0.86, list plus 7%.

Which has the bigger context window?

Qwen 2.5 14B Instruct: 32,768 tokens (32K) against 16,384 (16K) for Deepseek Coder 33B Instruct.

Can I fine-tune Deepseek Coder 33B Instruct or Qwen 2.5 14B Instruct?

Both publish open weights (Deepseek Coder 33B Instruct: Custom license; Qwen 2.5 14B Instruct: 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 Coder 32B InstructDeepseek Coder 33B Instruct vs Qwen3.7 PlusDeepseek Coder 33B Instruct vs Qwen3 Next 80B A3b InstructDeepseek Coder 33B Instruct vs Qwen3 Next 80B A3b ThinkingDeepseek Coder 33B Instruct vs Gemma-2 Instruct (27B)Qwen 2.5 14B Instruct vs Gemma-2 Instruct (27B)

Run the numbers on your workload

LLM price comparisonAgent cost calculatorDeepseek Coder 33B InstructQwen 2.5 14B Instruct

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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