Granite 4.2 8B is $0.36 cheaper per 1M input tokens (85.6% lower; 6.95x difference).
API cost decision in 10 seconds
NewHy4 vs Granite 4.2 8B
Pick Granite 4.2 8B for lower cost; pick Hy4 only if the larger context window matters more.
Budget verdict
Pick Granite 4.2 8B for lower cost; pick Hy4 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Granite 4.2 8B is estimated at $0.18 vs $1.04 for Hy4, saving $0.86 (82.2% lower).
Hy4 has more context, but Granite 4.2 8B saves $0.86 on the standard workload. At 10x that traffic, the same price gap is about $8.57. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Granite 4.2 8B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Hy4 | Granite 4.2 8B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Granite 4.2 8B | $2.71 | $0.42 |
| Balanced workload | 1M input + 1M output | Granite 4.2 8B | $1.67 | $0.31 |
| Output-heavy chatbot | 1M input + 5M output | Granite 4.2 8B | $6.67 | $1.31 |
Granite 4.2 8B is $1 cheaper per 1M output tokens (80% lower; 5x difference).
Hy4 has 917.5K more context (8x larger).
Granite 4.2 8B is $0.86 cheaper on the standard workload (82.2% 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
Granite 4.2 8B has the lower input price; Granite 4.2 8B has the lower output price; Hy4 offers the larger context window. For the 1M input plus 500K output sample, Granite 4.2 8B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.04 for Hy4 and $0.18 for Granite 4.2 8B.
Choose Hy4 when you care most about larger context window.
Choose Granite 4.2 8B when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Granite 4.2 8B is estimated at $0.18 vs $1.04 for Hy4, saving $0.86 (82.2% lower).
- Granite 4.2 8B is $0.86 cheaper on the standard workload (82.2% lower).
- Granite 4.2 8B is $0.36 cheaper per 1M input tokens (85.6% lower; 6.95x difference).
- Granite 4.2 8B is $1 cheaper per 1M output tokens (80% lower; 5x difference).
- Hy4 has 917.5K more context (8x larger).
| Feature | NewHy4 (Tencent) | Granite 4.2 8B (IBM) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.417 | $0.06 |
| Completion Price per 1M tokens | $1.2505 | $0.25 |
| Sample Workload Cost 1M input + 500K output | $1.04 | $0.18 |
| Context Window | 1.05M | 131.07K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Granite 4.2 8B | On the standard 1M input plus 500K output workload, Granite 4.2 8B is estimated at $0.18 vs $1.04 for Hy4, saving $0.86 (82.2% lower). |
| High-volume input processing | Granite 4.2 8B | 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 | Hy4 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Hy3 (free) can replace Hy4 when lower sample workload cost matters most: $0.
- Hy-MT2-1.8B can replace Hy4 when lower sample workload cost matters most: $0.13.
- Hy-MT2-30B-A3B can replace Hy4 when lower sample workload cost matters most: $0.22.
- Hy-MT2-7B can replace Hy4 when lower sample workload cost matters most: $0.22.
- 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.
- Kimi K3.1 Pro · MoonshotAI · #1
- DeepSeek V4.1 Flash 1017 · DeepSeek · #2
- GLM 5.3 Flash · Z.ai · #3
- DeepSeek V4.1 Flash · DeepSeek · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsTencent catalog
Review all tracked Tencent models before deciding whether this matchup is the right shortlist.
Open Tencent modelsIBM catalog
Check other IBM models with comparable pricing, context, or release timing.
Open IBM modelsThe official release of Hy4 delivers comprehensive and substantial improvements over Hy4 Preview, with particularly strong gains in agentic capabilities and performance across a wide range of long-horizon, real-world productivity...
Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning. It supports full, low-effort,...