Perceptron Mk1.5 is $3.85 cheaper per 1M input tokens (96.2% lower; 26.7x difference).
API cost decision in 10 seconds
NewMuse Wonder vs Perceptron Mk1.5
Pick Perceptron Mk1.5 for lower cost; pick Muse Wonder only if the larger context window matters more.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Perceptron Mk1.5 for lower cost; pick Muse Wonder only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Perceptron Mk1.5 is estimated at $0.9 vs $14 for Muse Wonder, saving $13.1 (93.6% lower).
Cost-first pickPerceptron Mk1.5
Context-first pickMuse Wonder
Sample savings$13.193.6%
10x traffic gap$131
Muse Wonder has more context, but Perceptron Mk1.5 saves $13.1 on the standard workload. At 10x that traffic, the same price gap is about $131. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Perceptron Mk1.5 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Muse Wonder | Perceptron Mk1.5 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Perceptron Mk1.5 | $30 | $1.5 |
| Balanced workload | 1M input + 1M output | Perceptron Mk1.5 | $24 | $1.65 |
| Output-heavy chatbot | 1M input + 5M output | Perceptron Mk1.5 | $104 | $7.65 |
Perceptron Mk1.5 is $18.5 cheaper per 1M output tokens (92.5% lower; 13.3x difference).
Muse Wonder has 1.01M more context (28.4x larger).
Perceptron Mk1.5 is $13.1 cheaper on the standard workload (93.6% lower).
Estimate your workload cost
Your Workload Cost
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
Perceptron Mk1.5 has the lower input price; Perceptron Mk1.5 has the lower output price; Muse Wonder offers the larger context window. For the 1M input plus 500K output sample, Perceptron Mk1.5 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $14 for Muse Wonder and $0.9 for Perceptron Mk1.5.
Choose Muse Wonder when you care most about larger context window.
Choose Perceptron Mk1.5 when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Perceptron Mk1.5 is estimated at $0.9 vs $14 for Muse Wonder, saving $13.1 (93.6% lower).
- Perceptron Mk1.5 is $13.1 cheaper on the standard workload (93.6% lower).
- Perceptron Mk1.5 is $3.85 cheaper per 1M input tokens (96.2% lower; 26.7x difference).
- Perceptron Mk1.5 is $18.5 cheaper per 1M output tokens (92.5% lower; 13.3x difference).
- Muse Wonder has 1.01M more context (28.4x larger).
| Feature | NewMuse Wonder (Meta) | Perceptron Mk1.5 (Perceptron) |
|---|---|---|
| Input Price prompt tokens per 1M | $4 | $0.15 |
| Completion Price per 1M tokens | $20 | $1.5 |
| Sample Workload Cost 1M input + 500K output | $14 | $0.9 |
| Context Window | 1.05M | 36.86K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Perceptron Mk1.5 | On the standard 1M input plus 500K output workload, Perceptron Mk1.5 is estimated at $0.9 vs $14 for Muse Wonder, saving $13.1 (93.6% lower). |
| High-volume input processing | Perceptron Mk1.5 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Perceptron Mk1.5 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Muse Wonder | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Llama 3.3 70B Instruct (free) can replace Muse Wonder when lower sample workload cost matters most: $0.
- Llama 3.2 3B Instruct (free) can replace Muse Wonder when lower sample workload cost matters most: $0.
- Llama 3.1 8B Instruct can replace Muse Wonder when lower sample workload cost matters most: $0.09.
- Llama 3.2 1B Instruct can replace Muse Wonder when lower sample workload cost matters most: $0.13.
- Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Llama 4 Scout offers 1.31M context with $0.47 sample workload cost.
- MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.
- DeepSeek V4.1 Flash · DeepSeek · #1
- Step 5 Preview · StepFun · #2
- GLM 5.3 Flash · Z.ai · #3
- MiMo-V2.6-Flash · Xiaomi · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsMeta catalog
Review all tracked Meta models before deciding whether this matchup is the right shortlist.
Open Meta modelsPerceptron catalog
Check other Perceptron models with comparable pricing, context, or release timing.
Open Perceptron modelsMuse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...
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,...