API cost decision in 10 seconds

Qwen3.5-35B-A3B vs DeepSeek V3.1 Nex N1

Pick DeepSeek V3.1 Nex N1 for lower cost; pick Qwen3.5-35B-A3B 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 DeepSeek V3.1 Nex N1 for lower cost; pick Qwen3.5-35B-A3B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, DeepSeek V3.1 Nex N1 is estimated at $0.39 vs $0.64 for Qwen3.5-35B-A3B, saving $0.25 (39.7% lower).

Cost-first pickDeepSeek V3.1 Nex N1
Context-first pickQwen3.5-35B-A3B
Sample savings$0.2539.7%
10x traffic gap$2.54

Qwen3.5-35B-A3B has more context, but DeepSeek V3.1 Nex N1 saves $0.25 on the standard workload. At 10x that traffic, the same price gap is about $2.54. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

DeepSeek V3.1 Nex N1 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.5-35B-A3BDeepSeek V3.1 Nex N1
Input-heavy / RAG5M input + 500K outputDeepSeek V3.1 Nex N1$1.2$0.93
Balanced workload1M input + 1M outputDeepSeek V3.1 Nex N1$1.14$0.64
Output-heavy chatbot1M input + 5M outputDeepSeek V3.1 Nex N1$5.14$2.63
Cheaper input DeepSeek V3.1 Nex N1 $0.139 vs $0.135 / 1M

DeepSeek V3.1 Nex N1 is $0.004 cheaper per 1M input tokens (2.9% lower; 1.03x difference).

Cheaper output DeepSeek V3.1 Nex N1 $1 vs $0.5 / 1M

DeepSeek V3.1 Nex N1 is $0.5 cheaper per 1M output tokens (50% lower; 2x difference).

Larger context Qwen3.5-35B-A3B 262.14K vs 131.07K

Qwen3.5-35B-A3B has 131.07K more context (2x larger).

Sample workload DeepSeek V3.1 Nex N1 $0.64 vs $0.39

DeepSeek V3.1 Nex N1 is $0.25 cheaper on the standard workload (39.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.5-35B-A3B Calculating… Estimated API cost
DeepSeek V3.1 Nex N1 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

DeepSeek V3.1 Nex N1 has the lower input price; DeepSeek V3.1 Nex N1 has the lower output price; Qwen3.5-35B-A3B offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V3.1 Nex N1 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 $0.39 for DeepSeek V3.1 Nex N1.

Best Fit

Choose Qwen3.5-35B-A3B when you care most about larger context window.

Choose DeepSeek V3.1 Nex N1 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, DeepSeek V3.1 Nex N1 is estimated at $0.39 vs $0.64 for Qwen3.5-35B-A3B, saving $0.25 (39.7% lower).
  • DeepSeek V3.1 Nex N1 is $0.25 cheaper on the standard workload (39.7% lower).
  • DeepSeek V3.1 Nex N1 is $0.004 cheaper per 1M input tokens (2.9% lower; 1.03x difference).
  • DeepSeek V3.1 Nex N1 is $0.5 cheaper per 1M output tokens (50% lower; 2x difference).
  • Qwen3.5-35B-A3B has 131.07K more context (2x larger).
Head-to-Head Specs
FeatureQwen3.5-35B-A3B
(Qwen)
DeepSeek V3.1 Nex N1
(Nex AGI)
Input Price
prompt tokens per 1M
$0.139$0.135
Completion Price
per 1M tokens
$1$0.5
Sample Workload Cost
1M input + 500K output
$0.64$0.39
Context Window262.14K131.07K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionDeepSeek V3.1 Nex N1On the standard 1M input plus 500K output workload, DeepSeek V3.1 Nex N1 is estimated at $0.39 vs $0.64 for Qwen3.5-35B-A3B, saving $0.25 (39.7% lower).
High-volume input processingDeepSeek V3.1 Nex N1Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsDeepSeek V3.1 Nex N1Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.5-35B-A3BA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Popular competitors
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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.

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Nex AGI catalog

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

Open Nex AGI 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...

DeepSeek V3.1 Nex N1

DeepSeek V3.1 Nex-N1 is the flagship release of the Nex-N1 series — a post-trained model designed to highlight agent autonomy, tool use, and real-world productivity. Nex-N1 demonstrates competitive performance across...