API cost decision in 10 seconds
🔥DeepSeek V4 Flash vs Granite 4.0 Micro
Pick Granite 4.0 Micro for lower cost; pick DeepSeek V4 Flash only if the larger context window matters more.
Budget verdict
Pick Granite 4.0 Micro for lower cost; pick DeepSeek V4 Flash only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Granite 4.0 Micro is estimated at $0.07 vs $0.2 for DeepSeek V4 Flash, saving $0.13 (63.5% lower).
DeepSeek V4 Flash has more context, but Granite 4.0 Micro saves $0.13 on the standard workload. At 10x that traffic, the same price gap is about $1.27. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Granite 4.0 Micro stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | DeepSeek V4 Flash | Granite 4.0 Micro |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Granite 4.0 Micro | $0.6 | $0.14 |
| Balanced workload | 1M input + 1M output | Granite 4.0 Micro | $0.3 | $0.13 |
| Output-heavy chatbot | 1M input + 5M output | Granite 4.0 Micro | $1.1 | $0.58 |
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
Granite 4.0 Micro has the lower input price, Granite 4.0 Micro has the lower output price, and DeepSeek V4 Flash offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.2 for DeepSeek V4 Flash and $0.07 for Granite 4.0 Micro.
Choose DeepSeek V4 Flash when you care most about larger context window.
Choose Granite 4.0 Micro when you care most about lower input-token price, and lower output-token price.
| Feature | 🔥DeepSeek V4 Flash (DeepSeek) | Granite 4.0 Micro (IBM) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.1 | $0.02 |
| Completion Price per 1M tokens | $0.2 | $0.11 |
| Sample Workload Cost 1M input + 500K output | $0.2 | $0.07 |
| Context Window | 1.05M | 131K |
| Release Date | 2026-04-24 | 2025-10-20 |
| Popularity | #1 |
DeepSeek 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...
Granite-4.0-H-Micro is a 3B parameter from the Granite 4 family of models. These models are the latest in a series of models released by IBM. They are fine-tuned for long...
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Granite 4.0 Micro | On the standard 1M input plus 500K output workload, Granite 4.0 Micro is estimated at $0.07 vs $0.2 for DeepSeek V4 Flash, saving $0.13 (63.5% lower). |
| High-volume input processing | Granite 4.0 Micro | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | Granite 4.0 Micro | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek V4 Flash | A larger context window leaves more room for retrieved passages and source files. |