API cost decision in 10 seconds

NewPerceptron Mk1 vs Cogito v2.1 671B

Pick Perceptron Mk1 for lower cost; pick Cogito v2.1 671B only if the larger context window matters more.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Perceptron Mk1 for lower cost; pick Cogito v2.1 671B 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 $1.88 for Cogito v2.1 671B, saving $0.97 (52% lower).

Cost-first pickPerceptron Mk1
Context-first pickCogito v2.1 671B
Sample savings$0.9752%
10x traffic gap$9.75

Cogito v2.1 671B has more context, but Perceptron Mk1 saves $0.97 on the standard workload. At 10x that traffic, the same price gap is about $9.75. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Perceptron Mk1, balanced workload favors Perceptron Mk1, and output-heavy chatbot favors Cogito v2.1 671B.

Workload shapeToken mixBetter pickPerceptron Mk1Cogito v2.1 671B
Input-heavy / RAG5M input + 500K outputPerceptron Mk1$1.5$6.88
Balanced workload1M input + 1M outputPerceptron Mk1$1.65$2.5
Output-heavy chatbot1M input + 5M outputCogito v2.1 671B$7.65$7.5
Cheaper input Perceptron Mk1 $0.15 vs $1.25 / 1M

Perceptron Mk1 is $1.1 cheaper per 1M input tokens (88% lower; 8.33x difference).

Cheaper output Cogito v2.1 671B $1.5 vs $1.25 / 1M

Cogito v2.1 671B is $0.25 cheaper per 1M output tokens (16.7% lower; 1.2x difference).

Larger context Cogito v2.1 671B 32.77K vs 128K

Cogito v2.1 671B has 95.23K more context (3.91x larger).

Sample workload Perceptron Mk1 $0.9 vs $1.88

Perceptron Mk1 is $0.97 cheaper on the standard workload (52% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Perceptron Mk1 Calculating… Estimated API cost
Cogito v2.1 671B 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; Cogito v2.1 671B has the lower output price; Cogito v2.1 671B 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 $1.88 for Cogito v2.1 671B.

Best Fit

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

Choose Cogito v2.1 671B when you care most about lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Perceptron Mk1 is estimated at $0.9 vs $1.88 for Cogito v2.1 671B, saving $0.97 (52% lower).
  • Perceptron Mk1 is $0.97 cheaper on the standard workload (52% lower).
  • Perceptron Mk1 is $1.1 cheaper per 1M input tokens (88% lower; 8.33x difference).
  • Cogito v2.1 671B is $0.25 cheaper per 1M output tokens (16.7% lower; 1.2x difference).
  • Cogito v2.1 671B has 95.23K more context (3.91x larger).
Head-to-Head Specs
FeatureNewPerceptron Mk1
(Perceptron)
Cogito v2.1 671B
(Deep Cogito)
Input Price
prompt tokens per 1M
$0.15$1.25
Completion Price
per 1M tokens
$1.5$1.25
Sample Workload Cost
1M input + 500K output
$0.9$1.88
Context Window32.77K128K
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 $1.88 for Cogito v2.1 671B, saving $0.97 (52% lower).
High-volume input processingPerceptron Mk1Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsCogito v2.1 671BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workCogito v2.1 671BA 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.
Larger context near this budget
Popular competitors
  • No popular competitor is currently available.

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

Deep Cogito catalog

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

Open Deep Cogito 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...

Cogito v2.1 671B

Cogito v2.1 671B MoE represents one of the strongest open models globally, matching performance of frontier closed and open models. This model is trained using self play with reinforcement learning...