API cost decision in 10 seconds

Devstral 2 2512 vs Llama 3.1 70B Instruct

Pick Llama 3.1 70B 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 Llama 3.1 70B 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, Llama 3.1 70B Instruct is estimated at $0.6 vs $1.4 for Devstral 2 2512, saving $0.8 (57.1% lower).

Cost-first pickLlama 3.1 70B Instruct
Context-first pickDevstral 2 2512
Sample savings$0.857.1%
10x traffic gap$8

Devstral 2 2512 has more context, but Llama 3.1 70B Instruct saves $0.8 on the standard workload. At 10x that traffic, the same price gap is about $8. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Llama 3.1 70B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickDevstral 2 2512Llama 3.1 70B Instruct
Input-heavy / RAG5M input + 500K outputLlama 3.1 70B Instruct$3$2.2
Balanced workload1M input + 1M outputLlama 3.1 70B Instruct$2.4$0.8
Output-heavy chatbot1M input + 5M outputLlama 3.1 70B Instruct$10.4$2.4
Cheaper input Tie $0.4 vs $0.4 / 1M

Both models report the same input price at $0.4 per 1M tokens.

Cheaper output Llama 3.1 70B Instruct $2 vs $0.4 / 1M

Llama 3.1 70B 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 Llama 3.1 70B Instruct $1.4 vs $0.6

Llama 3.1 70B Instruct is $0.8 cheaper on the standard workload (57.1% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Devstral 2 2512 Calculating… Estimated API cost
Llama 3.1 70B 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

both models tie on input price; Llama 3.1 70B Instruct has the lower output price; Devstral 2 2512 offers the larger context window. For the 1M input plus 500K output sample, Llama 3.1 70B 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 $0.6 for Llama 3.1 70B Instruct.

Best Fit

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

Choose Llama 3.1 70B Instruct when you care most about lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Llama 3.1 70B Instruct is estimated at $0.6 vs $1.4 for Devstral 2 2512, saving $0.8 (57.1% lower).
  • Llama 3.1 70B Instruct is $0.8 cheaper on the standard workload (57.1% lower).
  • Both models report the same input price at $0.4 per 1M tokens.
  • Llama 3.1 70B 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)		Llama 3.1 70B Instruct
(Meta)
Input Price
prompt tokens per 1M		$0.4$0.4
Completion Price
per 1M tokens		$2$0.4
Sample Workload Cost
1M input + 500K output		$1.4$0.6
Context Window262.14K131.07K
Release Date
Popularity#98#107

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLlama 3.1 70B InstructOn the standard 1M input plus 500K output workload, Llama 3.1 70B Instruct is estimated at $0.6 vs $1.4 for Devstral 2 2512, saving $0.8 (57.1% lower).
High-volume input processingTieLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLlama 3.1 70B 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.

Open Mistral models

Meta catalog

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

Open Meta 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...

Llama 3.1 70B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...