API cost decision in 10 seconds

Qwen3.5-35B-A3B vs Qwen3.5 Plus 2026-02-15

Pick Qwen3.5-35B-A3B for lower cost; pick Qwen3.5 Plus 2026-02-15 only if the larger context window matters more.

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

Budget verdict

Pick Qwen3.5-35B-A3B for lower cost; pick Qwen3.5 Plus 2026-02-15 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3.5-35B-A3B is estimated at $0.64 vs $1.04 for Qwen3.5 Plus 2026-02-15, saving $0.4 (38.6% lower).

Cost-first pickQwen3.5-35B-A3B
Context-first pickQwen3.5 Plus 2026-02-15
Sample savings$0.438.6%
10x traffic gap$4.01

Qwen3.5 Plus 2026-02-15 has more context, but Qwen3.5-35B-A3B saves $0.4 on the standard workload. At 10x that traffic, the same price gap is about $4.01. 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-A3BQwen3.5 Plus 2026-02-15
Input-heavy / RAG5M input + 500K outputQwen3.5-35B-A3B$1.2$2.08
Balanced workload1M input + 1M outputQwen3.5-35B-A3B$1.14$1.82
Output-heavy chatbot1M input + 5M outputQwen3.5-35B-A3B$5.14$8.06
Cheaper input Qwen3.5-35B-A3B $0.139 vs $0.26 / 1M

Qwen3.5-35B-A3B is $0.12 cheaper per 1M input tokens (46.5% lower; 1.87x difference).

Cheaper output Qwen3.5-35B-A3B $1 vs $1.56 / 1M

Qwen3.5-35B-A3B is $0.56 cheaper per 1M output tokens (35.9% lower; 1.56x difference).

Larger context Qwen3.5 Plus 2026-02-15 262.14K vs 1M

Qwen3.5 Plus 2026-02-15 has 737.86K more context (3.81x larger).

Sample workload Qwen3.5-35B-A3B $0.64 vs $1.04

Qwen3.5-35B-A3B is $0.4 cheaper on the standard workload (38.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.5-35B-A3B Calculating… Estimated API cost
Qwen3.5 Plus 2026-02-15 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; Qwen3.5 Plus 2026-02-15 offers the larger 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 $1.04 for Qwen3.5 Plus 2026-02-15.

Best Fit

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

Choose Qwen3.5 Plus 2026-02-15 when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.5-35B-A3B is estimated at $0.64 vs $1.04 for Qwen3.5 Plus 2026-02-15, saving $0.4 (38.6% lower).
  • Qwen3.5-35B-A3B is $0.4 cheaper on the standard workload (38.6% lower).
  • Qwen3.5-35B-A3B is $0.12 cheaper per 1M input tokens (46.5% lower; 1.87x difference).
  • Qwen3.5-35B-A3B is $0.56 cheaper per 1M output tokens (35.9% lower; 1.56x difference).
  • Qwen3.5 Plus 2026-02-15 has 737.86K more context (3.81x larger).
Head-to-Head Specs
FeatureQwen3.5-35B-A3B
(Qwen)
Qwen3.5 Plus 2026-02-15
(Qwen)
Input Price
prompt tokens per 1M
$0.139$0.26
Completion Price
per 1M tokens
$1$1.56
Sample Workload Cost
1M input + 500K output
$0.64$1.04
Context Window262.14K1M
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 $1.04 for Qwen3.5 Plus 2026-02-15, saving $0.4 (38.6% 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 workQwen3.5 Plus 2026-02-15A 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

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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.

Open Qwen 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...

Qwen3.5 Plus 2026-02-15

The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of...