Ling 3.0 Tiny (free) is free for input tokens while DeepSeek V4 Flash 0423 costs $0.05 per 1M tokens.
API cost decision in 10 seconds
🔥DeepSeek V4 Flash 0423 vs Ling 3.0 Tiny (free)
Pick Ling 3.0 Tiny (free) for lower cost; pick DeepSeek V4 Flash 0423 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 (free) for lower cost; pick DeepSeek V4 Flash 0423 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Ling 3.0 Tiny (free) is estimated at $0 vs $0.1 for DeepSeek V4 Flash 0423, saving $0.1 (100% lower).
Cost-first pickLing 3.0 Tiny (free)
Context-first pickDeepSeek V4 Flash 0423
Sample savings$0.1100%
10x traffic gap$1.01
DeepSeek V4 Flash 0423 has more context, but Ling 3.0 Tiny (free) saves $0.1 on the standard workload. At 10x that traffic, the same price gap is about $1.01. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Ling 3.0 Tiny (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | DeepSeek V4 Flash 0423 | Ling 3.0 Tiny (free) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ling 3.0 Tiny (free) | $0.3 | $0 |
| Balanced workload | 1M input + 1M output | Ling 3.0 Tiny (free) | $0.15 | $0 |
| Output-heavy chatbot | 1M input + 5M output | Ling 3.0 Tiny (free) | $0.55 | $0 |
Ling 3.0 Tiny (free) is free for output tokens while DeepSeek V4 Flash 0423 costs $0.1 per 1M tokens.
DeepSeek V4 Flash 0423 has 786.43K more context (4x larger).
Ling 3.0 Tiny (free) is free for the standard workload while the other model is estimated at $0.1.
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 (free) has the lower input price; Ling 3.0 Tiny (free) has the lower output price; DeepSeek V4 Flash 0423 offers the larger context window. For the 1M input plus 500K output sample, Ling 3.0 Tiny (free) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.1 for DeepSeek V4 Flash 0423 and $0 for Ling 3.0 Tiny (free).
Choose DeepSeek V4 Flash 0423 when you care most about larger context window.
Choose Ling 3.0 Tiny (free) 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 (free) is estimated at $0 vs $0.1 for DeepSeek V4 Flash 0423, saving $0.1 (100% lower).
- Ling 3.0 Tiny (free) is free for the standard workload while the other model is estimated at $0.1.
- Ling 3.0 Tiny (free) is free for input tokens while DeepSeek V4 Flash 0423 costs $0.05 per 1M tokens.
- Ling 3.0 Tiny (free) is free for output tokens while DeepSeek V4 Flash 0423 costs $0.1 per 1M tokens.
- DeepSeek V4 Flash 0423 has 786.43K more context (4x larger).
| Feature | 🔥DeepSeek V4 Flash 0423 (DeepSeek) | Ling 3.0 Tiny (free) (inclusionAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.0503 | $0 |
| Completion Price per 1M tokens | $0.1005 | $0 |
| Sample Workload Cost 1M input + 500K output | $0.1 | $0 |
| Context Window | 1.05M | 262.14K |
| Release Date | ||
| Popularity | #5 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ling 3.0 Tiny (free) | On the standard 1M input plus 500K output workload, Ling 3.0 Tiny (free) is estimated at $0 vs $0.1 for DeepSeek V4 Flash 0423, saving $0.1 (100% lower). |
| High-volume input processing | Ling 3.0 Tiny (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Ling 3.0 Tiny (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek V4 Flash 0423 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- DeepSeek V4 Flash (free) can replace DeepSeek V4 Flash 0423 when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Ox Alpha · stealth · #4
Cheaper alternatives
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Open inclusionAI modelsDeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...
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...