API cost decision in 10 seconds

Qwen2.5 72B Instruct vs GPT-5.1-Codex-Mini

Pick Qwen2.5 72B Instruct for lower cost; pick GPT-5.1-Codex-Mini only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen2.5 72B Instruct for lower cost; pick GPT-5.1-Codex-Mini only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen2.5 72B Instruct is estimated at $0.56 vs $1.25 for GPT-5.1-Codex-Mini, saving $0.69 (55.2% lower).

Cost-first pickQwen2.5 72B Instruct
Context-first pickGPT-5.1-Codex-Mini
Sample savings$0.6955.2%
10x traffic gap$6.9

GPT-5.1-Codex-Mini has more context, but Qwen2.5 72B Instruct saves $0.69 on the standard workload. At 10x that traffic, the same price gap is about $6.9. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen2.5 72B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen2.5 72B InstructGPT-5.1-Codex-Mini
Input-heavy / RAG5M input + 500K outputQwen2.5 72B Instruct$2$2.25
Balanced workload1M input + 1M outputQwen2.5 72B Instruct$0.76$2.25
Output-heavy chatbot1M input + 5M outputQwen2.5 72B Instruct$2.36$10.25
Cheaper input GPT-5.1-Codex-Mini $0.36 vs $0.25 / 1M

GPT-5.1-Codex-Mini is $0.11 cheaper per 1M input tokens (30.6% lower; 1.44x difference).

Cheaper output Qwen2.5 72B Instruct $0.4 vs $2 / 1M

Qwen2.5 72B Instruct is $1.6 cheaper per 1M output tokens (80% lower; 5x difference).

Larger context GPT-5.1-Codex-Mini 131.07K vs 400K

GPT-5.1-Codex-Mini has 268.93K more context (3.05x larger).

Sample workload Qwen2.5 72B Instruct $0.56 vs $1.25

Qwen2.5 72B Instruct is $0.69 cheaper on the standard workload (55.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen2.5 72B Instruct Calculating… Estimated API cost
GPT-5.1-Codex-Mini Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

GPT-5.1-Codex-Mini has the lower input price; Qwen2.5 72B Instruct has the lower output price; GPT-5.1-Codex-Mini offers the larger context window. For the 1M input plus 500K output sample, Qwen2.5 72B Instruct is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.56 for Qwen2.5 72B Instruct and $1.25 for GPT-5.1-Codex-Mini.

Best Fit

Choose Qwen2.5 72B Instruct when you care most about lower output-token price.

Choose GPT-5.1-Codex-Mini when you care most about lower input-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen2.5 72B Instruct is estimated at $0.56 vs $1.25 for GPT-5.1-Codex-Mini, saving $0.69 (55.2% lower).
  • Qwen2.5 72B Instruct is $0.69 cheaper on the standard workload (55.2% lower).
  • GPT-5.1-Codex-Mini is $0.11 cheaper per 1M input tokens (30.6% lower; 1.44x difference).
  • Qwen2.5 72B Instruct is $1.6 cheaper per 1M output tokens (80% lower; 5x difference).
  • GPT-5.1-Codex-Mini has 268.93K more context (3.05x larger).
Head-to-Head Specs
FeatureQwen2.5 72B Instruct
(Qwen)
GPT-5.1-Codex-Mini
(OpenAI)
Input Price
prompt tokens per 1M
$0.36$0.25
Completion Price
per 1M tokens
$0.4$2
Sample Workload Cost
1M input + 500K output
$0.56$1.25
Context Window131.07K400K
Release Date
Popularity#137#150

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen2.5 72B InstructOn the standard 1M input plus 500K output workload, Qwen2.5 72B Instruct is estimated at $0.56 vs $1.25 for GPT-5.1-Codex-Mini, saving $0.69 (55.2% lower).
High-volume input processingGPT-5.1-Codex-MiniLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen2.5 72B InstructLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5.1-Codex-MiniA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Qwen catalog

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OpenAI catalog

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Qwen2.5 72B Instruct

Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...

GPT-5.1-Codex-Mini

GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex