API cost decision in 10 seconds

NewPerceptron Mk1 vs Qwen3.5-27B

Pick Perceptron Mk1 for lower cost; pick Qwen3.5-27B 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 Perceptron Mk1 for lower cost; pick Qwen3.5-27B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Perceptron Mk1 is estimated at $0.9 vs $0.98 for Qwen3.5-27B, saving $0.08 (7.7% lower).

Cost-first pickPerceptron Mk1
Context-first pickQwen3.5-27B
Sample savings$0.087.7%
10x traffic gap$0.75

Qwen3.5-27B has more context, but Perceptron Mk1 saves $0.08 on the standard workload. At 10x that traffic, the same price gap is about $0.75. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Perceptron Mk1 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickPerceptron Mk1Qwen3.5-27B
Input-heavy / RAG5M input + 500K outputPerceptron Mk1$1.5$1.75
Balanced workload1M input + 1M outputPerceptron Mk1$1.65$1.76
Output-heavy chatbot1M input + 5M outputPerceptron Mk1$7.65$8
Cheaper input Perceptron Mk1 $0.15 vs $0.195 / 1M

Perceptron Mk1 is $0.05 cheaper per 1M input tokens (23.1% lower; 1.3x difference).

Cheaper output Perceptron Mk1 $1.5 vs $1.56 / 1M

Perceptron Mk1 is $0.06 cheaper per 1M output tokens (3.8% lower; 1.04x difference).

Larger context Qwen3.5-27B 32.77K vs 262.14K

Qwen3.5-27B has 229.38K more context (8x larger).

Sample workload Perceptron Mk1 $0.9 vs $0.98

Perceptron Mk1 is $0.08 cheaper on the standard workload (7.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Perceptron Mk1 Calculating… Estimated API cost
Qwen3.5-27B 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

Perceptron Mk1 has the lower input price; Perceptron Mk1 has the lower output price; Qwen3.5-27B offers the larger context window. For the 1M input plus 500K output sample, Perceptron Mk1 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 $0.98 for Qwen3.5-27B.

Best Fit

Choose Perceptron Mk1 when you care most about lower input-token price, and lower output-token price.

Choose Qwen3.5-27B when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Perceptron Mk1 is estimated at $0.9 vs $0.98 for Qwen3.5-27B, saving $0.08 (7.7% lower).
  • Perceptron Mk1 is $0.08 cheaper on the standard workload (7.7% lower).
  • Perceptron Mk1 is $0.05 cheaper per 1M input tokens (23.1% lower; 1.3x difference).
  • Perceptron Mk1 is $0.06 cheaper per 1M output tokens (3.8% lower; 1.04x difference).
  • Qwen3.5-27B has 229.38K more context (8x larger).
Head-to-Head Specs
FeatureNewPerceptron Mk1
(Perceptron)
Qwen3.5-27B
(Qwen)
Input Price
prompt tokens per 1M
$0.15$0.195
Completion Price
per 1M tokens
$1.5$1.56
Sample Workload Cost
1M input + 500K output
$0.9$0.98
Context Window32.77K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionPerceptron Mk1On the standard 1M input plus 500K output workload, Perceptron Mk1 is estimated at $0.9 vs $0.98 for Qwen3.5-27B, saving $0.08 (7.7% lower).
High-volume input processingPerceptron Mk1Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsPerceptron Mk1Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.5-27BA 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...

Qwen3.5-27B

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...