API cost decision in 10 seconds

Qwen3.5-35B-A3B vs Mistral Large 3 2512

Pick Qwen3.5-35B-A3B when budget is the priority.

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

Budget verdict

Pick Qwen3.5-35B-A3B when budget is the priority.

On the standard 1M input plus 500K output workload, Qwen3.5-35B-A3B is estimated at $0.64 vs $1.25 for Mistral Large 3 2512, saving $0.61 (48.9% lower).

Cost-first pickQwen3.5-35B-A3B
Context-first pickBoth models
Sample savings$0.6148.9%
10x traffic gap$6.11

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $6.11. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3.5-35B-A3B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.5-35B-A3BMistral Large 3 2512
Input-heavy / RAG5M input + 500K outputQwen3.5-35B-A3B$1.2$3.25
Balanced workload1M input + 1M outputQwen3.5-35B-A3B$1.14$2
Output-heavy chatbot1M input + 5M outputQwen3.5-35B-A3B$5.14$8
Cheaper input Qwen3.5-35B-A3B $0.139 vs $0.5 / 1M

Qwen3.5-35B-A3B is $0.36 cheaper per 1M input tokens (72.2% lower; 3.6x difference).

Cheaper output Qwen3.5-35B-A3B $1 vs $1.5 / 1M

Qwen3.5-35B-A3B is $0.5 cheaper per 1M output tokens (33.3% lower; 1.5x difference).

Larger context Tie 262.14K vs 262.14K

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

Sample workload Qwen3.5-35B-A3B $0.64 vs $1.25

Qwen3.5-35B-A3B is $0.61 cheaper on the standard workload (48.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.5-35B-A3B Calculating… Estimated API cost
Mistral Large 3 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

Qwen3.5-35B-A3B has the lower input price; Qwen3.5-35B-A3B has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Qwen3.5-35B-A3B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.64 for Qwen3.5-35B-A3B and $1.25 for Mistral Large 3 2512.

Best Fit

Choose Qwen3.5-35B-A3B when you care most about lower input-token price, and lower output-token price.

Choose Mistral Large 3 2512 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.5-35B-A3B is estimated at $0.64 vs $1.25 for Mistral Large 3 2512, saving $0.61 (48.9% lower).
  • Qwen3.5-35B-A3B is $0.61 cheaper on the standard workload (48.9% lower).
  • Qwen3.5-35B-A3B is $0.36 cheaper per 1M input tokens (72.2% lower; 3.6x difference).
  • Qwen3.5-35B-A3B is $0.5 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
  • Both models report the same context window at 262.14K tokens.
Head-to-Head Specs
FeatureQwen3.5-35B-A3B
(Qwen)
Mistral Large 3 2512
(Mistral)
Input Price
prompt tokens per 1M
$0.139$0.5
Completion Price
per 1M tokens
$1$1.5
Sample Workload Cost
1M input + 500K output
$0.64$1.25
Context Window262.14K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.5-35B-A3BOn the standard 1M input plus 500K output workload, Qwen3.5-35B-A3B is estimated at $0.64 vs $1.25 for Mistral Large 3 2512, saving $0.61 (48.9% lower).
High-volume input processingQwen3.5-35B-A3BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3.5-35B-A3BLower 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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Larger context alternatives

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Provider catalogs

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

Open provider hubs

Qwen catalog

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

Open Qwen models

Mistral catalog

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

Open Mistral models
Qwen3.5-35B-A3B

The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall...

Mistral Large 3 2512

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.