API cost decision in 10 seconds

NewPerceptron Mk1 vs Ling-2.6-1T

Pick Ling-2.6-1T 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 Ling-2.6-1T when budget and context both matter.

On the standard 1M input plus 500K output workload, Ling-2.6-1T is estimated at $0.39 vs $0.9 for Perceptron Mk1, saving $0.51 (56.9% lower).

Cost-first pickLing-2.6-1T
Context-first pickLing-2.6-1T
Sample savings$0.5156.9%
10x traffic gap$5.12

Ling-2.6-1T is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $5.12. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Ling-2.6-1T stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickPerceptron Mk1Ling-2.6-1T
Input-heavy / RAG5M input + 500K outputLing-2.6-1T$1.5$0.69
Balanced workload1M input + 1M outputLing-2.6-1T$1.65$0.7
Output-heavy chatbot1M input + 5M outputLing-2.6-1T$7.65$3.2
Cheaper input Ling-2.6-1T $0.15 vs $0.075 / 1M

Ling-2.6-1T is $0.07 cheaper per 1M input tokens (50% lower; 2x difference).

Cheaper output Ling-2.6-1T $1.5 vs $0.625 / 1M

Ling-2.6-1T is $0.88 cheaper per 1M output tokens (58.3% lower; 2.4x difference).

Larger context Ling-2.6-1T 32.77K vs 262.14K

Ling-2.6-1T has 229.38K more context (8x larger).

Sample workload Ling-2.6-1T $0.9 vs $0.39

Ling-2.6-1T is $0.51 cheaper on the standard workload (56.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Perceptron Mk1 Calculating… Estimated API cost
Ling-2.6-1T 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

Ling-2.6-1T has the lower input price; Ling-2.6-1T has the lower output price; Ling-2.6-1T offers the larger context window. For the 1M input plus 500K output sample, Ling-2.6-1T 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 $0.39 for Ling-2.6-1T.

Best Fit

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

Choose Ling-2.6-1T when you care most about lower input-token price, lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Ling-2.6-1T is estimated at $0.39 vs $0.9 for Perceptron Mk1, saving $0.51 (56.9% lower).
  • Ling-2.6-1T is $0.51 cheaper on the standard workload (56.9% lower).
  • Ling-2.6-1T is $0.07 cheaper per 1M input tokens (50% lower; 2x difference).
  • Ling-2.6-1T is $0.88 cheaper per 1M output tokens (58.3% lower; 2.4x difference).
  • Ling-2.6-1T has 229.38K more context (8x larger).
Head-to-Head Specs
FeatureNewPerceptron Mk1
(Perceptron)
Ling-2.6-1T
(inclusionAI)
Input Price
prompt tokens per 1M
$0.15$0.075
Completion Price
per 1M tokens
$1.5$0.625
Sample Workload Cost
1M input + 500K output
$0.9$0.39
Context Window32.77K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLing-2.6-1TOn the standard 1M input plus 500K output workload, Ling-2.6-1T is estimated at $0.39 vs $0.9 for Perceptron Mk1, saving $0.51 (56.9% lower).
High-volume input processingLing-2.6-1TLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLing-2.6-1TLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workLing-2.6-1TA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Ling-2.6-flash can replace Ling-2.6-1T when lower sample workload cost matters most: $0.03.
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.

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Perceptron catalog

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

Open Perceptron models

inclusionAI catalog

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

Open inclusionAI 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...

Ling-2.6-1T

Ling-2.6-1T is an instant (instruct) model from inclusionAI and the company’s trillion-parameter flagship, designed for real-world agents that require fast execution and high efficiency at scale. It uses a “fast...