Kimi K2.7 Code is $0.33 cheaper per 1M input tokens (33% lower; 1.49x difference).
API cost decision in 10 seconds
Kimi K2.7 Code vs Grok Build 0.1
Pick Grok Build 0.1 for lower cost; pick Kimi K2.7 Code only if the larger context window matters more.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Grok Build 0.1 for lower cost; pick Kimi K2.7 Code only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Grok Build 0.1 is estimated at $2 vs $2.37 for Kimi K2.7 Code, saving $0.37 (15.6% lower).
Cost-first pickGrok Build 0.1
Context-first pickKimi K2.7 Code
Sample savings$0.3715.6%
10x traffic gap$3.7
Kimi K2.7 Code has more context, but Grok Build 0.1 saves $0.37 on the standard workload. At 10x that traffic, the same price gap is about $3.7. 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 Kimi K2.7 Code, balanced workload favors Grok Build 0.1, and output-heavy chatbot favors Grok Build 0.1.
| Workload shape | Token mix | Better pick | Kimi K2.7 Code | Grok Build 0.1 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Kimi K2.7 Code | $5.05 | $6 |
| Balanced workload | 1M input + 1M output | Grok Build 0.1 | $4.07 | $3 |
| Output-heavy chatbot | 1M input + 5M output | Grok Build 0.1 | $17.67 | $11 |
Grok Build 0.1 is $1.4 cheaper per 1M output tokens (41.2% lower; 1.7x difference).
Kimi K2.7 Code has 6.14K more context (1.02x larger).
Grok Build 0.1 is $0.37 cheaper on the standard workload (15.6% 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
Kimi K2.7 Code has the lower input price; Grok Build 0.1 has the lower output price; Kimi K2.7 Code offers the larger context window. For the 1M input plus 500K output sample, Grok Build 0.1 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $2.37 for Kimi K2.7 Code and $2 for Grok Build 0.1.
Choose Kimi K2.7 Code when you care most about lower input-token price, and larger context window.
Choose Grok Build 0.1 when you care most about lower output-token price.
- On the standard 1M input plus 500K output workload, Grok Build 0.1 is estimated at $2 vs $2.37 for Kimi K2.7 Code, saving $0.37 (15.6% lower).
- Grok Build 0.1 is $0.37 cheaper on the standard workload (15.6% lower).
- Kimi K2.7 Code is $0.33 cheaper per 1M input tokens (33% lower; 1.49x difference).
- Grok Build 0.1 is $1.4 cheaper per 1M output tokens (41.2% lower; 1.7x difference).
- Kimi K2.7 Code has 6.14K more context (1.02x larger).
| Feature | Kimi K2.7 Code (MoonshotAI) | Grok Build 0.1 (SpaceXAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.67 | $1 |
| Completion Price per 1M tokens | $3.4 | $2 |
| Sample Workload Cost 1M input + 500K output | $2.37 | $2 |
| Context Window | 262.14K | 256K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Grok Build 0.1 | On the standard 1M input plus 500K output workload, Grok Build 0.1 is estimated at $2 vs $2.37 for Kimi K2.7 Code, saving $0.37 (15.6% lower). |
| High-volume input processing | Kimi K2.7 Code | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Grok Build 0.1 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Kimi K2.7 Code | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Kimi K2.7 Code (free) can replace Kimi K2.7 Code when lower sample workload cost matters most: $0.
- Kimi K2.6 (free) can replace Kimi K2.7 Code when lower sample workload cost matters most: $0.
- Kimi K2.5 can replace Kimi K2.7 Code when lower sample workload cost matters most: $1.57.
- Kimi K2 0711 can replace Kimi K2.7 Code when lower sample workload cost matters most: $1.72.
- Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Ox Alpha · stealth · #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 hubsMoonshotAI catalog
Review all tracked MoonshotAI models before deciding whether this matchup is the right shortlist.
Open MoonshotAI modelsSpaceXAI catalog
Check other SpaceXAI models with comparable pricing, context, or release timing.
Open SpaceXAI modelsMoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts...
Grok Build 0.1 is SpaceXAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized for interactive coding...