API cost decision in 10 seconds
Granite 4.1 8B vs 🔥Kimi K2.6
Pick Granite 4.1 8B for lower cost; pick Kimi K2.6 only if the larger context window matters more.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Granite 4.1 8B for lower cost; pick Kimi K2.6 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Granite 4.1 8B is estimated at $0.1 vs $2.48 for Kimi K2.6, saving $2.38 (96% lower).
Cost-first pickGranite 4.1 8B
Context-first pickKimi K2.6
Sample savings$2.3896%
10x traffic gap$23.75
Kimi K2.6 has more context, but Granite 4.1 8B saves $2.38 on the standard workload. At 10x that traffic, the same price gap is about $23.75. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Granite 4.1 8B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Granite 4.1 8B | Kimi K2.6 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Granite 4.1 8B | $0.3 | $5.39 |
| Balanced workload | 1M input + 1M output | Granite 4.1 8B | $0.15 | $4.22 |
| Output-heavy chatbot | 1M input + 5M output | Granite 4.1 8B | $0.55 | $18.18 |
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 4.1 8B has the lower input price, Granite 4.1 8B has the lower output price, and Kimi K2.6 offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.1 for Granite 4.1 8B and $2.48 for Kimi K2.6.
Choose Granite 4.1 8B when you care most about lower input-token price, and lower output-token price.
Choose Kimi K2.6 when you care most about larger context window.
| Feature | Granite 4.1 8B (IBM) | 🔥Kimi K2.6 (MoonshotAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.05 | $0.73 |
| Completion Price per 1M tokens | $0.1 | $3.49 |
| Sample Workload Cost 1M input + 500K output | $0.1 | $2.48 |
| Context Window | 131.07K | 262.14K |
| Release Date | 2026-04-30 | 2026-04-20 |
| Popularity | #12 |
Granite 4.1 8B is a dense, decoder-only 8-billion-parameter language model from IBM, part of the Granite 4.1 family. It supports a 131K-token context window and is designed for enterprise tasks...
Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Granite 4.1 8B | On the standard 1M input plus 500K output workload, Granite 4.1 8B is estimated at $0.1 vs $2.48 for Kimi K2.6, saving $2.38 (96% lower). |
| High-volume input processing | Granite 4.1 8B | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | Granite 4.1 8B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Kimi K2.6 | A larger context window leaves more room for retrieved passages and source files. |