API cost decision in 10 seconds

NewPerceptron Mk1 vs Qwen3.6 35B A3B

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 $0.9 for Perceptron Mk1, saving $0.25 (27.8% lower).

Cost-first pickQwen3.6 35B A3B
Context-first pickQwen3.6 35B A3B
Sample savings$0.2527.8%
10x traffic gap$2.5

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 $2.5. 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 pickPerceptron Mk1Qwen3.6 35B A3B
Input-heavy / RAG5M input + 500K outputQwen3.6 35B A3B$1.5$1.25
Balanced workload1M input + 1M outputQwen3.6 35B A3B$1.65$1.15
Output-heavy chatbot1M input + 5M outputQwen3.6 35B A3B$7.65$5.15
Cheaper input Tie $0.15 vs $0.15 / 1M

Both models report the same input price at $0.15 per 1M tokens.

Cheaper output Qwen3.6 35B A3B $1.5 vs $1 / 1M

Qwen3.6 35B A3B is $0.5 cheaper per 1M output tokens (33.3% lower; 1.5x difference).

Larger context Qwen3.6 35B A3B 32.77K vs 262.14K

Qwen3.6 35B A3B has 229.38K more context (8x larger).

Sample workload Qwen3.6 35B A3B $0.9 vs $0.65

Qwen3.6 35B A3B is $0.25 cheaper on the standard workload (27.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Perceptron Mk1 Calculating… Estimated API cost
Qwen3.6 35B A3B 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

both models tie on input price; Qwen3.6 35B A3B 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 $0.9 for Perceptron Mk1 and $0.65 for Qwen3.6 35B A3B.

Best Fit

Choose Perceptron Mk1 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.6 35B A3B is estimated at $0.65 vs $0.9 for Perceptron Mk1, saving $0.25 (27.8% lower).
  • Qwen3.6 35B A3B is $0.25 cheaper on the standard workload (27.8% lower).
  • Both models report the same input price at $0.15 per 1M tokens.
  • Qwen3.6 35B A3B is $0.5 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
  • Qwen3.6 35B A3B has 229.38K more context (8x larger).
Head-to-Head Specs
FeatureNewPerceptron Mk1
(Perceptron)
Qwen3.6 35B A3B
(Qwen)
Input Price
prompt tokens per 1M
$0.15$0.15
Completion Price
per 1M tokens
$1.5$1
Sample Workload Cost
1M input + 500K output
$0.9$0.65
Context Window32.77K262.14K
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 $0.9 for Perceptron Mk1, saving $0.25 (27.8% lower).
High-volume input processingTieLower 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 workQwen3.6 35B A3BA 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

Perceptron catalog

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

Open Perceptron models

Qwen catalog

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

Open Qwen models
Perceptron Mk1

Perceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It accepts image and video inputs paired with natural language queries, and produces detailed visual understanding...

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...