API cost decision in 10 seconds

Qwen3.6 35B A3B vs GPT-5.1

Pick Qwen3.6 35B A3B for lower cost; pick GPT-5.1 only if the larger context window matters more.

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

Budget verdict

Pick Qwen3.6 35B A3B for lower cost; pick GPT-5.1 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3.6 35B A3B is estimated at $0.65 vs $6.25 for GPT-5.1, saving $5.6 (89.6% lower).

Cost-first pickQwen3.6 35B A3B
Context-first pickGPT-5.1
Sample savings$5.689.6%
10x traffic gap$56

GPT-5.1 has more context, but Qwen3.6 35B A3B saves $5.6 on the standard workload. At 10x that traffic, the same price gap is about $56. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3.6 35B A3B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.6 35B A3BGPT-5.1
Input-heavy / RAG5M input + 500K outputQwen3.6 35B A3B$1.25$11.25
Balanced workload1M input + 1M outputQwen3.6 35B A3B$1.15$11.25
Output-heavy chatbot1M input + 5M outputQwen3.6 35B A3B$5.15$51.25
Cheaper input Qwen3.6 35B A3B $0.15 vs $1.25 / 1M

Qwen3.6 35B A3B is $1.1 cheaper per 1M input tokens (88% lower; 8.33x difference).

Cheaper output Qwen3.6 35B A3B $1 vs $10 / 1M

Qwen3.6 35B A3B is $9 cheaper per 1M output tokens (90% lower; 10x difference).

Larger context GPT-5.1 262.14K vs 400K

GPT-5.1 has 137.86K more context (1.53x larger).

Sample workload Qwen3.6 35B A3B $0.65 vs $6.25

Qwen3.6 35B A3B is $5.6 cheaper on the standard workload (89.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.6 35B A3B Calculating… Estimated API cost
GPT-5.1 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; Qwen3.6 35B A3B has the lower output price; GPT-5.1 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 $6.25 for GPT-5.1.

Best Fit

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

Choose GPT-5.1 when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.6 35B A3B is estimated at $0.65 vs $6.25 for GPT-5.1, saving $5.6 (89.6% lower).
  • Qwen3.6 35B A3B is $5.6 cheaper on the standard workload (89.6% lower).
  • Qwen3.6 35B A3B is $1.1 cheaper per 1M input tokens (88% lower; 8.33x difference).
  • Qwen3.6 35B A3B is $9 cheaper per 1M output tokens (90% lower; 10x difference).
  • GPT-5.1 has 137.86K more context (1.53x larger).
Head-to-Head Specs
FeatureQwen3.6 35B A3B
(Qwen)
GPT-5.1
(OpenAI)
Input Price
prompt tokens per 1M
$0.15$1.25
Completion Price
per 1M tokens
$1$10
Sample Workload Cost
1M input + 500K output
$0.65$6.25
Context Window262.14K400K
Release Date

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 $6.25 for GPT-5.1, saving $5.6 (89.6% 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 chatbotsQwen3.6 35B A3BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5.1A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Larger context near this budget

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

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

Open largest context models

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

OpenAI catalog

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

Open OpenAI models
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...

GPT-5.1

GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning...