API cost decision in 10 seconds

NewPerceptron Mk1.5 vs LongCat 2.0

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Both models are estimated at $0.9 for the standard 1M input plus 500K output workload.

Cost-first pickTie
Context-first pickLongCat 2.0
Sample savings$00%
10x traffic gap$0

Context-window winner: LongCat 2.0. Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Perceptron Mk1.5, balanced workload favors LongCat 2.0, and output-heavy chatbot favors LongCat 2.0.

Workload shapeToken mixBetter pickPerceptron Mk1.5LongCat 2.0
Input-heavy / RAG5M input + 500K outputPerceptron Mk1.5$1.5$2.1
Balanced workload1M input + 1M outputLongCat 2.0$1.65$1.5
Output-heavy chatbot1M input + 5M outputLongCat 2.0$7.65$6.3
Cheaper input Perceptron Mk1.5 $0.15 vs $0.3 / 1M

Perceptron Mk1.5 is $0.15 cheaper per 1M input tokens (50% lower; 2x difference).

Cheaper output LongCat 2.0 $1.5 vs $1.2 / 1M

LongCat 2.0 is $0.3 cheaper per 1M output tokens (20% lower; 1.25x difference).

Larger context LongCat 2.0 36.86K vs 1.05M

LongCat 2.0 has 1.01M more context (28.4x larger).

Sample workload LongCat 2.0 $0.9 vs $0.9

LongCat 2.0 is $0 cheaper on the standard workload (0% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Perceptron Mk1.5 Calculating… Estimated API cost
LongCat 2.0 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 Mk1.5 has the lower input price; LongCat 2.0 has the lower output price; LongCat 2.0 offers the larger context window. For the 1M input plus 500K output sample, LongCat 2.0 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 Mk1.5 and $0.9 for LongCat 2.0.

Best Fit

Choose Perceptron Mk1.5 when you care most about lower input-token price.

Choose LongCat 2.0 when you care most about lower output-token price, and larger context window.

Decision Notes
  • Both models are estimated at $0.9 for the standard 1M input plus 500K output workload.
  • LongCat 2.0 is $0 cheaper on the standard workload (0% lower).
  • Perceptron Mk1.5 is $0.15 cheaper per 1M input tokens (50% lower; 2x difference).
  • LongCat 2.0 is $0.3 cheaper per 1M output tokens (20% lower; 1.25x difference).
  • LongCat 2.0 has 1.01M more context (28.4x larger).
Head-to-Head Specs
FeatureNewPerceptron Mk1.5
(Perceptron)
LongCat 2.0
(Meituan)
Input Price
prompt tokens per 1M
$0.15$0.3
Completion Price
per 1M tokens
$1.5$1.2
Sample Workload Cost
1M input + 500K output
$0.9$0.9
Context Window36.86K1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionTieBoth models are estimated at $0.9 for the standard 1M input plus 500K output workload.
High-volume input processingPerceptron Mk1.5Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLongCat 2.0Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workLongCat 2.0A 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

Perceptron catalog

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

Open Perceptron models

Meituan catalog

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

Open Meituan models
Perceptron Mk1.5

Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, tracks,...

LongCat 2.0

LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizon problem solving, and agentic...