Ling 3.0 Flash Fin is $0.04 cheaper per 1M input tokens (40% lower; 1.67x difference).
API cost decision in 10 seconds
NewGranite 4.2 8B vs NewLing 3.0 Flash Fin
Pick Ling 3.0 Flash Fin 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 Flash Fin when budget and context both matter.
On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin is estimated at $0.15 vs $0.17 for Granite 4.2 8B, saving $0.02 (14.3% lower).
Cost-first pickLing 3.0 Flash Fin
Context-first pickLing 3.0 Flash Fin
Sample savings$0.0214.3%
10x traffic gap$0.25
Ling 3.0 Flash Fin is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.25. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors Ling 3.0 Flash Fin, balanced workload favors Ling 3.0 Flash Fin, and output-heavy chatbot favors Granite 4.2 8B.
| Workload shape | Token mix | Better pick | Granite 4.2 8B | Ling 3.0 Flash Fin |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ling 3.0 Flash Fin | $0.57 | $0.39 |
| Balanced workload | 1M input + 1M output | Ling 3.0 Flash Fin | $0.25 | $0.24 |
| Output-heavy chatbot | 1M input + 5M output | Granite 4.2 8B | $0.85 | $0.96 |
Granite 4.2 8B is $0.03 cheaper per 1M output tokens (16.7% lower; 1.2x difference).
Ling 3.0 Flash Fin has 131.07K more context (2x larger).
Ling 3.0 Flash Fin is $0.02 cheaper on the standard workload (14.3% 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 Flash Fin has the lower input price; Granite 4.2 8B has the lower output price; Ling 3.0 Flash Fin offers the larger context window. For the 1M input plus 500K output sample, Ling 3.0 Flash Fin is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.17 for Granite 4.2 8B and $0.15 for Ling 3.0 Flash Fin.
Choose Granite 4.2 8B when you care most about lower output-token price.
Choose Ling 3.0 Flash Fin when you care most about lower input-token price, and larger context window.
- On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin is estimated at $0.15 vs $0.17 for Granite 4.2 8B, saving $0.02 (14.3% lower).
- Ling 3.0 Flash Fin is $0.02 cheaper on the standard workload (14.3% lower).
- Ling 3.0 Flash Fin is $0.04 cheaper per 1M input tokens (40% lower; 1.67x difference).
- Granite 4.2 8B is $0.03 cheaper per 1M output tokens (16.7% lower; 1.2x difference).
- Ling 3.0 Flash Fin has 131.07K more context (2x larger).
| Feature | NewGranite 4.2 8B (IBM) | NewLing 3.0 Flash Fin (inclusionAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.1 | $0.06 |
| Completion Price per 1M tokens | $0.15 | $0.18 |
| Sample Workload Cost 1M input + 500K output | $0.17 | $0.15 |
| Context Window | 131.07K | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ling 3.0 Flash Fin | On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin is estimated at $0.15 vs $0.17 for Granite 4.2 8B, saving $0.02 (14.3% lower). |
| High-volume input processing | Ling 3.0 Flash Fin | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Granite 4.2 8B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Ling 3.0 Flash Fin | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Granite 4.0 Micro can replace Granite 4.2 8B when lower sample workload cost matters most: $0.07.
- Granite 4.1 8B can replace Granite 4.2 8B when lower sample workload cost matters most: $0.1.
- Ling 3.0 Flash Fin (free) can replace Ling 3.0 Flash Fin when lower sample workload cost matters most: $0.
- Ling 3.0 Tiny (free) can replace Ling 3.0 Flash Fin when lower sample workload cost matters most: $0.
- GLM 5.3 Flash offers 1.31M context with $0.2 sample workload cost.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.15 sample workload cost.
- GLM Flash Latest offers 1.31M context with $0.2 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.13 sample workload cost.
- GPT-5.6 Luna · OpenAI · #1
- GLM 5.3 Flash · Z.ai · #2
- DeepSeek V4 Flash 0731 · DeepSeek · #3
- Hy4 preview · Tencent · #4
Cheaper alternatives
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