API cost decision in 10 seconds

Qwen3.6 35B A3B vs DeepSeek V3.1 Terminus

Pick Qwen3.6 35B A3B when budget and context both matter.

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

Budget verdict

Pick Qwen3.6 35B A3B when budget and context both matter.

On the standard 1M input plus 500K output workload, Qwen3.6 35B A3B is estimated at $0.65 vs $0.74 for DeepSeek V3.1 Terminus, saving $0.09 (12.8% lower).

Cost-first pickQwen3.6 35B A3B
Context-first pickQwen3.6 35B A3B
Sample savings$0.0912.8%
10x traffic gap$0.95

Qwen3.6 35B A3B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.95. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Qwen3.6 35B A3B, balanced workload favors Qwen3.6 35B A3B, and output-heavy chatbot favors DeepSeek V3.1 Terminus.

Workload shapeToken mixBetter pickQwen3.6 35B A3BDeepSeek V3.1 Terminus
Input-heavy / RAG5M input + 500K outputQwen3.6 35B A3B$1.25$1.83
Balanced workload1M input + 1M outputQwen3.6 35B A3B$1.15$1.22
Output-heavy chatbot1M input + 5M outputDeepSeek V3.1 Terminus$5.15$5.02
Cheaper input Qwen3.6 35B A3B $0.15 vs $0.27 / 1M

Qwen3.6 35B A3B is $0.12 cheaper per 1M input tokens (44.4% lower; 1.8x difference).

Cheaper output DeepSeek V3.1 Terminus $1 vs $0.95 / 1M

DeepSeek V3.1 Terminus is $0.05 cheaper per 1M output tokens (5% lower; 1.05x difference).

Larger context Qwen3.6 35B A3B 262.14K vs 163.84K

Qwen3.6 35B A3B has 98.3K more context (1.6x larger).

Sample workload Qwen3.6 35B A3B $0.65 vs $0.74

Qwen3.6 35B A3B is $0.09 cheaper on the standard workload (12.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.6 35B A3B Calculating… Estimated API cost
DeepSeek V3.1 Terminus 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

Qwen3.6 35B A3B has the lower input price; DeepSeek V3.1 Terminus has the lower output price; Qwen3.6 35B A3B offers the larger context window. For the 1M input plus 500K output sample, Qwen3.6 35B A3B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.65 for Qwen3.6 35B A3B and $0.74 for DeepSeek V3.1 Terminus.

Best Fit

Choose Qwen3.6 35B A3B when you care most about lower input-token price, and larger context window.

Choose DeepSeek V3.1 Terminus when you care most about lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.6 35B A3B is estimated at $0.65 vs $0.74 for DeepSeek V3.1 Terminus, saving $0.09 (12.8% lower).
  • Qwen3.6 35B A3B is $0.09 cheaper on the standard workload (12.8% lower).
  • Qwen3.6 35B A3B is $0.12 cheaper per 1M input tokens (44.4% lower; 1.8x difference).
  • DeepSeek V3.1 Terminus is $0.05 cheaper per 1M output tokens (5% lower; 1.05x difference).
  • Qwen3.6 35B A3B has 98.3K more context (1.6x larger).
Head-to-Head Specs
FeatureQwen3.6 35B A3B
(Qwen)
DeepSeek V3.1 Terminus
(DeepSeek)
Input Price
prompt tokens per 1M
$0.15$0.27
Completion Price
per 1M tokens
$1$0.95
Sample Workload Cost
1M input + 500K output
$0.65$0.74
Context Window262.14K163.84K
Release Date
Popularity#76#91

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.6 35B A3BOn the standard 1M input plus 500K output workload, Qwen3.6 35B A3B is estimated at $0.65 vs $0.74 for DeepSeek V3.1 Terminus, saving $0.09 (12.8% lower).
High-volume input processingQwen3.6 35B A3BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsDeepSeek V3.1 TerminusLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.6 35B A3BA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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Qwen catalog

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DeepSeek catalog

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Qwen3.6 35B A3B

Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated...

DeepSeek V3.1 Terminus

DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's...