API cost decision in 10 seconds

Qwen3.6 Max Preview vs Devstral 2 2512

Pick Devstral 2 2512 when budget is the priority.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Devstral 2 2512 when budget is the priority.

On the standard 1M input plus 500K output workload, Devstral 2 2512 is estimated at $1.4 vs $4.16 for Qwen3.6 Max Preview, saving $2.76 (66.3% lower).

Cost-first pickDevstral 2 2512
Context-first pickBoth models
Sample savings$2.7666.3%
10x traffic gap$27.6

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $27.6. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Devstral 2 2512 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.6 Max PreviewDevstral 2 2512
Input-heavy / RAG5M input + 500K outputDevstral 2 2512$8.32$3
Balanced workload1M input + 1M outputDevstral 2 2512$7.28$2.4
Output-heavy chatbot1M input + 5M outputDevstral 2 2512$32.24$10.4
Cheaper input Devstral 2 2512 $1.04 vs $0.4 / 1M

Devstral 2 2512 is $0.64 cheaper per 1M input tokens (61.5% lower; 2.6x difference).

Cheaper output Devstral 2 2512 $6.24 vs $2 / 1M

Devstral 2 2512 is $4.24 cheaper per 1M output tokens (67.9% lower; 3.12x difference).

Larger context Tie 262.14K vs 262.14K

Both models report the same context window at 262.14K tokens.

Sample workload Devstral 2 2512 $4.16 vs $1.4

Devstral 2 2512 is $2.76 cheaper on the standard workload (66.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.6 Max Preview Calculating… Estimated API cost
Devstral 2 2512 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

Devstral 2 2512 has the lower input price; Devstral 2 2512 has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Devstral 2 2512 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $4.16 for Qwen3.6 Max Preview and $1.4 for Devstral 2 2512.

Best Fit

Choose Qwen3.6 Max Preview when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Devstral 2 2512 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, Devstral 2 2512 is estimated at $1.4 vs $4.16 for Qwen3.6 Max Preview, saving $2.76 (66.3% lower).
  • Devstral 2 2512 is $2.76 cheaper on the standard workload (66.3% lower).
  • Devstral 2 2512 is $0.64 cheaper per 1M input tokens (61.5% lower; 2.6x difference).
  • Devstral 2 2512 is $4.24 cheaper per 1M output tokens (67.9% lower; 3.12x difference).
  • Both models report the same context window at 262.14K tokens.
Head-to-Head Specs
FeatureQwen3.6 Max Preview
(Qwen)
Devstral 2 2512
(Mistral)
Input Price
prompt tokens per 1M
$1.04$0.4
Completion Price
per 1M tokens
$6.24$2
Sample Workload Cost
1M input + 500K output
$4.16$1.4
Context Window262.14K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionDevstral 2 2512On the standard 1M input plus 500K output workload, Devstral 2 2512 is estimated at $1.4 vs $4.16 for Qwen3.6 Max Preview, saving $2.76 (66.3% lower).
High-volume input processingDevstral 2 2512Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsDevstral 2 2512Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workTieA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

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Cheaper alternatives

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Larger context alternatives

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

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Provider catalogs

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Qwen catalog

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

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Mistral catalog

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

Open Mistral models
Qwen3.6 Max Preview

Qwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse mixture-of-experts architecture with approximately 1 trillion total parameters. It is optimized for agentic coding, tool use, and...

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...