API cost decision in 10 seconds

Inkling Small (free) vs Perceptron Mk1

Pick Inkling Small (free) 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 Inkling Small (free) when budget and context both matter.

On the standard 1M input plus 500K output workload, Inkling Small (free) is estimated at $0 vs $0.9 for Perceptron Mk1, saving $0.9 (100% lower).

Cost-first pickInkling Small (free)
Context-first pickInkling Small (free)
Sample savings$0.9100%
10x traffic gap$9

Inkling Small (free) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $9. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Inkling Small (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickInkling Small (free)Perceptron Mk1
Input-heavy / RAG5M input + 500K outputInkling Small (free)$0$1.5
Balanced workload1M input + 1M outputInkling Small (free)$0$1.65
Output-heavy chatbot1M input + 5M outputInkling Small (free)$0$7.65
Cheaper input Inkling Small (free) $0 vs $0.15 / 1M

Inkling Small (free) is free for input tokens while Perceptron Mk1 costs $0.15 per 1M tokens.

Cheaper output Inkling Small (free) $0 vs $1.5 / 1M

Inkling Small (free) is free for output tokens while Perceptron Mk1 costs $1.5 per 1M tokens.

Larger context Inkling Small (free) 262.14K vs 32.77K

Inkling Small (free) has 229.38K more context (8x larger).

Sample workload Inkling Small (free) $0 vs $0.9

Inkling Small (free) is free for the standard workload while the other model is estimated at $0.9.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Inkling Small (free) 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

Inkling Small (free) has the lower input price; Inkling Small (free) has the lower output price; Inkling Small (free) offers the larger context window. For the 1M input plus 500K output sample, Inkling Small (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Inkling Small (free) and $0.9 for Perceptron Mk1.

Best Fit

Choose Inkling Small (free) when you care most about lower input-token price, lower output-token price, and larger context window.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, Inkling Small (free) is estimated at $0 vs $0.9 for Perceptron Mk1, saving $0.9 (100% lower).
  • Inkling Small (free) is free for the standard workload while the other model is estimated at $0.9.
  • Inkling Small (free) is free for input tokens while Perceptron Mk1 costs $0.15 per 1M tokens.
  • Inkling Small (free) is free for output tokens while Perceptron Mk1 costs $1.5 per 1M tokens.
  • Inkling Small (free) has 229.38K more context (8x larger).
Head-to-Head Specs
FeatureInkling Small (free)
(Thinking Machines)
Perceptron Mk1
(Perceptron)
Input Price
prompt tokens per 1M
$0$0.15
Completion Price
per 1M tokens
$0$1.5
Sample Workload Cost
1M input + 500K output
$0$0.9
Context Window262.14K32.77K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionInkling Small (free)On the standard 1M input plus 500K output workload, Inkling Small (free) is estimated at $0 vs $0.9 for Perceptron Mk1, saving $0.9 (100% lower).
High-volume input processingInkling Small (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsInkling Small (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workInkling Small (free)A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • No lower-cost same-provider swap is currently tracked for this pair.

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

Thinking Machines catalog

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

Open Thinking Machines models

Perceptron catalog

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

Open Perceptron models
Inkling Small (free)

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...

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...