API cost decision in 10 seconds

🔥DeepSeek V3.2 vs NewPerceptron Mk1

Pick DeepSeek V3.2 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 DeepSeek V3.2 when budget and context both matter.

On the standard 1M input plus 500K output workload, DeepSeek V3.2 is estimated at $0.44 vs $0.9 for Perceptron Mk1, saving $0.46 (51% lower).

Cost-first pickDeepSeek V3.2
Context-first pickDeepSeek V3.2
Sample savings$0.4651%
10x traffic gap$4.59

DeepSeek V3.2 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $4.59. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

DeepSeek V3.2 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickDeepSeek V3.2Perceptron Mk1
Input-heavy / RAG5M input + 500K outputDeepSeek V3.2$1.45$1.5
Balanced workload1M input + 1M outputDeepSeek V3.2$0.63$1.65
Output-heavy chatbot1M input + 5M outputDeepSeek V3.2$2.14$7.65
Cheaper input Perceptron Mk1 $0.252 vs $0.15 / 1M

Perceptron Mk1 is $0.1 cheaper per 1M input tokens (40.5% lower; 1.68x difference).

Cheaper output DeepSeek V3.2 $0.378 vs $1.5 / 1M

DeepSeek V3.2 is $1.12 cheaper per 1M output tokens (74.8% lower; 3.97x difference).

Larger context DeepSeek V3.2 131.07K vs 32.77K

DeepSeek V3.2 has 98.3K more context (4x larger).

Sample workload DeepSeek V3.2 $0.44 vs $0.9

DeepSeek V3.2 is $0.46 cheaper on the standard workload (51% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V3.2 Calculating… Estimated API cost
Perceptron Mk1 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; DeepSeek V3.2 has the lower output price; DeepSeek V3.2 offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V3.2 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.44 for DeepSeek V3.2 and $0.9 for Perceptron Mk1.

Best Fit

Choose DeepSeek V3.2 when you care most about lower output-token price, and larger context window.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, DeepSeek V3.2 is estimated at $0.44 vs $0.9 for Perceptron Mk1, saving $0.46 (51% lower).
  • DeepSeek V3.2 is $0.46 cheaper on the standard workload (51% lower).
  • Perceptron Mk1 is $0.1 cheaper per 1M input tokens (40.5% lower; 1.68x difference).
  • DeepSeek V3.2 is $1.12 cheaper per 1M output tokens (74.8% lower; 3.97x difference).
  • DeepSeek V3.2 has 98.3K more context (4x larger).
Head-to-Head Specs
Feature🔥DeepSeek V3.2
(DeepSeek)
NewPerceptron Mk1
(Perceptron)
Input Price
prompt tokens per 1M
$0.252$0.15
Completion Price
per 1M tokens
$0.378$1.5
Sample Workload Cost
1M input + 500K output
$0.44$0.9
Context Window131.07K32.77K
Release Date
Popularity#8

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionDeepSeek V3.2On the standard 1M input plus 500K output workload, DeepSeek V3.2 is estimated at $0.44 vs $0.9 for Perceptron Mk1, saving $0.46 (51% lower).
High-volume input processingPerceptron Mk1Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsDeepSeek V3.2Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workDeepSeek V3.2A larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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DeepSeek catalog

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Perceptron catalog

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

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DeepSeek V3.2

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

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...