Ling 3.0 Tiny is $0.14 cheaper per 1M input tokens (90% lower; 10x difference).
API cost decision in 10 seconds
Perceptron Mk1.5 vs Ling 3.0 Tiny
Pick Ling 3.0 Tiny when budget and context both matter.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Ling 3.0 Tiny when budget and context both matter.
On the standard 1M input plus 500K output workload, Ling 3.0 Tiny is estimated at $0.04 vs $0.9 for Perceptron Mk1.5, saving $0.86 (95.8% lower).
Cost-first pickLing 3.0 Tiny
Context-first pickLing 3.0 Tiny
Sample savings$0.8695.8%
10x traffic gap$8.62
Ling 3.0 Tiny is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $8.62. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Ling 3.0 Tiny stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Perceptron Mk1.5 | Ling 3.0 Tiny |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ling 3.0 Tiny | $1.5 | $0.1 |
| Balanced workload | 1M input + 1M output | Ling 3.0 Tiny | $1.65 | $0.06 |
| Output-heavy chatbot | 1M input + 5M output | Ling 3.0 Tiny | $7.65 | $0.24 |
Ling 3.0 Tiny is $1.46 cheaper per 1M output tokens (97% lower; 33.3x difference).
Ling 3.0 Tiny has 225.28K more context (7.11x larger).
Ling 3.0 Tiny is $0.86 cheaper on the standard workload (95.8% 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
Ling 3.0 Tiny has the lower input price; Ling 3.0 Tiny has the lower output price; Ling 3.0 Tiny offers the larger context window. For the 1M input plus 500K output sample, Ling 3.0 Tiny 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 $0.04 for Ling 3.0 Tiny.
Choose Perceptron Mk1.5 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose Ling 3.0 Tiny when you care most about lower input-token price, lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, Ling 3.0 Tiny is estimated at $0.04 vs $0.9 for Perceptron Mk1.5, saving $0.86 (95.8% lower).
- Ling 3.0 Tiny is $0.86 cheaper on the standard workload (95.8% lower).
- Ling 3.0 Tiny is $0.14 cheaper per 1M input tokens (90% lower; 10x difference).
- Ling 3.0 Tiny is $1.46 cheaper per 1M output tokens (97% lower; 33.3x difference).
- Ling 3.0 Tiny has 225.28K more context (7.11x larger).
| Feature | Perceptron Mk1.5 (Perceptron) | Ling 3.0 Tiny (inclusionAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $0.015 |
| Completion Price per 1M tokens | $1.5 | $0.045 |
| Sample Workload Cost 1M input + 500K output | $0.9 | $0.04 |
| Context Window | 36.86K | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ling 3.0 Tiny | On the standard 1M input plus 500K output workload, Ling 3.0 Tiny is estimated at $0.04 vs $0.9 for Perceptron Mk1.5, saving $0.86 (95.8% lower). |
| High-volume input processing | Ling 3.0 Tiny | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Ling 3.0 Tiny | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Ling 3.0 Tiny | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Ling 3.0 Flash VL (free) can replace Ling 3.0 Tiny when lower sample workload cost matters most: $0.
- Ling 3.0 Flash Sante (free) can replace Ling 3.0 Tiny when lower sample workload cost matters most: $0.
- Ling 3.0 Flash Fin (free) can replace Ling 3.0 Tiny when lower sample workload cost matters most: $0.
- Ling 3.0 Tiny (free) can replace Ling 3.0 Tiny when lower sample workload cost matters most: $0.
- Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
- GPT-6 Luna offers 1.05M context with $0.35 sample workload cost.
- GPT-5.6 Luna offers 1.05M context with $0.8 sample workload cost.
- GPT-6 Luna Pro offers 1.05M context with $0.35 sample workload cost.
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Open inclusionAI modelsPerceptron 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,...
Ling 3.0 Tiny is a mixture-of-experts model from InclusionAI, with 1.3B active parameters out of 7.9B total. It is designed for responsive agents, instruction following, and multi-turn conversations, with switchable...