API cost decision in 10 seconds

Devstral 2 2512 vs Qwen2.5 72B Instruct

Pick Qwen2.5 72B Instruct for lower cost; pick Devstral 2 2512 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 Devstral 2 2512 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 $1.4 for Devstral 2 2512, saving $0.84 (60% lower).

Cost-first pickQwen2.5 72B Instruct
Context-first pickDevstral 2 2512
Sample savings$0.8460%
10x traffic gap$8.4

Devstral 2 2512 has more context, but Qwen2.5 72B Instruct saves $0.84 on the standard workload. At 10x that traffic, the same price gap is about $8.4. 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 pickDevstral 2 2512Qwen2.5 72B Instruct
Input-heavy / RAG5M input + 500K outputQwen2.5 72B Instruct$3$2
Balanced workload1M input + 1M outputQwen2.5 72B Instruct$2.4$0.76
Output-heavy chatbot1M input + 5M outputQwen2.5 72B Instruct$10.4$2.36
Cheaper input Qwen2.5 72B Instruct $0.4 vs $0.36 / 1M

Qwen2.5 72B Instruct is $0.04 cheaper per 1M input tokens (10% lower; 1.11x difference).

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

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

Larger context Devstral 2 2512 262.14K vs 131.07K

Devstral 2 2512 has 131.07K more context (2x larger).

Sample workload Qwen2.5 72B Instruct $1.4 vs $0.56

Qwen2.5 72B Instruct is $0.84 cheaper on the standard workload (60% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Devstral 2 2512 Calculating… Estimated API cost
Qwen2.5 72B Instruct 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

Qwen2.5 72B Instruct has the lower input price; Qwen2.5 72B Instruct has the lower output price; Devstral 2 2512 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 $1.4 for Devstral 2 2512 and $0.56 for Qwen2.5 72B Instruct.

Best Fit

Choose Devstral 2 2512 when you care most about larger context window.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen2.5 72B Instruct is estimated at $0.56 vs $1.4 for Devstral 2 2512, saving $0.84 (60% lower).
  • Qwen2.5 72B Instruct is $0.84 cheaper on the standard workload (60% lower).
  • Qwen2.5 72B Instruct is $0.04 cheaper per 1M input tokens (10% lower; 1.11x difference).
  • Qwen2.5 72B Instruct is $1.6 cheaper per 1M output tokens (80% lower; 5x difference).
  • Devstral 2 2512 has 131.07K more context (2x larger).
Head-to-Head Specs
FeatureDevstral 2 2512
(Mistral)		Qwen2.5 72B Instruct
(Qwen)
Input Price
prompt tokens per 1M		$0.4$0.36
Completion Price
per 1M tokens		$2$0.4
Sample Workload Cost
1M input + 500K output		$1.4$0.56
Context Window262.14K131.07K
Release Date
Popularity#98#139

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 $1.4 for Devstral 2 2512, saving $0.84 (60% lower).
High-volume input processingQwen2.5 72B InstructLower 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 workDevstral 2 2512A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Mistral Nemo can replace Devstral 2 2512 when lower sample workload cost matters most: $0.04.
  • Mistral Small 3 can replace Devstral 2 2512 when lower sample workload cost matters most: $0.09.
  • Ministral 3 3B 2512 can replace Devstral 2 2512 when lower sample workload cost matters most: $0.15.
  • Mistral Small 3.2 24B can replace Devstral 2 2512 when lower sample workload cost matters most: $0.17.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Owl Alpha offers 1.05M context with $0 sample workload cost.
  • DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
  • MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

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Mistral catalog

Review all tracked Mistral models before deciding whether this matchup is the right shortlist.

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Qwen catalog

Check other Qwen models with comparable pricing, context, or release timing.

Open Qwen models
Devstral 2 2512

Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256K context window. Devstral 2 supports exploring...

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...