Ling 3.0 Tiny is $0.68 cheaper per 1M input tokens (97.9% lower; 46.7x difference).
API cost decision in 10 seconds
Mistral Large 4 vs Ling 3.0 Tiny
Pick Ling 3.0 Tiny for lower cost; pick Mistral Large 4 only if the larger context window matters more.
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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 for lower cost; pick Mistral Large 4 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Ling 3.0 Tiny is estimated at $0.04 vs $1.75 for Mistral Large 4, saving $1.71 (97.9% lower).
Cost-first pickLing 3.0 Tiny
Context-first pickMistral Large 4
Sample savings$1.7197.9%
10x traffic gap$17.12
Mistral Large 4 has more context, but Ling 3.0 Tiny saves $1.71 on the standard workload. At 10x that traffic, the same price gap is about $17.12. 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 | Mistral Large 4 | Ling 3.0 Tiny |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ling 3.0 Tiny | $4.55 | $0.1 |
| Balanced workload | 1M input + 1M output | Ling 3.0 Tiny | $2.8 | $0.06 |
| Output-heavy chatbot | 1M input + 5M output | Ling 3.0 Tiny | $11.2 | $0.24 |
Ling 3.0 Tiny is $2.06 cheaper per 1M output tokens (97.9% lower; 46.7x difference).
Mistral Large 4 has 786.43K more context (4x larger).
Ling 3.0 Tiny is $1.71 cheaper on the standard workload (97.9% 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; Mistral Large 4 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 $1.75 for Mistral Large 4 and $0.04 for Ling 3.0 Tiny.
Choose Mistral Large 4 when you care most about larger context window.
Choose Ling 3.0 Tiny when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Ling 3.0 Tiny is estimated at $0.04 vs $1.75 for Mistral Large 4, saving $1.71 (97.9% lower).
- Ling 3.0 Tiny is $1.71 cheaper on the standard workload (97.9% lower).
- Ling 3.0 Tiny is $0.68 cheaper per 1M input tokens (97.9% lower; 46.7x difference).
- Ling 3.0 Tiny is $2.06 cheaper per 1M output tokens (97.9% lower; 46.7x difference).
- Mistral Large 4 has 786.43K more context (4x larger).
| Feature | Mistral Large 4 (Mistral) | Ling 3.0 Tiny (inclusionAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.7 | $0.015 |
| Completion Price per 1M tokens | $2.1 | $0.045 |
| Sample Workload Cost 1M input + 500K output | $1.75 | $0.04 |
| Context Window | 1.05M | 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 $1.75 for Mistral Large 4, saving $1.71 (97.9% 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 | Mistral Large 4 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Mistral Nemo can replace Mistral Large 4 when lower sample workload cost matters most: $0.04.
- Mistral Small 3 can replace Mistral Large 4 when lower sample workload cost matters most: $0.09.
- Ministral 3 8B 2512 (batch) can replace Mistral Large 4 when lower sample workload cost matters most: $0.11.
- Ministral 3 3B 2512 can replace Mistral Large 4 when lower sample workload cost matters most: $0.15.
- 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-6.1 Terra Pro (batch) offers 1.05M context with $1.75 sample workload cost.
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