Kimi K2 0905 is $0.4 cheaper per 1M input tokens (40% lower; 1.67x difference).
API cost decision in 10 seconds
Kimi K2 0905 vs NewGrok Build 0.1
Pick Kimi K2 0905 when budget and context both matter.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Kimi K2 0905 when budget and context both matter.
On the standard 1M input plus 500K output workload, Kimi K2 0905 is estimated at $1.85 vs $2 for Grok Build 0.1, saving $0.15 (7.5% lower).
Cost-first pickKimi K2 0905
Context-first pickKimi K2 0905
Sample savings$0.157.5%
10x traffic gap$1.5
Kimi K2 0905 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.5. 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 0905, balanced workload favors Grok Build 0.1, and output-heavy chatbot favors Grok Build 0.1.
| Workload shape | Token mix | Better pick | Kimi K2 0905 | Grok Build 0.1 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Kimi K2 0905 | $4.25 | $6 |
| Balanced workload | 1M input + 1M output | Grok Build 0.1 | $3.1 | $3 |
| Output-heavy chatbot | 1M input + 5M output | Grok Build 0.1 | $13.1 | $11 |
Grok Build 0.1 is $0.5 cheaper per 1M output tokens (20% lower; 1.25x difference).
Kimi K2 0905 has 6.14K more context (1.02x larger).
Kimi K2 0905 is $0.15 cheaper on the standard workload (7.5% 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 0905 has the lower input price; Grok Build 0.1 has the lower output price; Kimi K2 0905 offers the larger context window. For the 1M input plus 500K output sample, Kimi K2 0905 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.85 for Kimi K2 0905 and $2 for Grok Build 0.1.
Choose Kimi K2 0905 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, Kimi K2 0905 is estimated at $1.85 vs $2 for Grok Build 0.1, saving $0.15 (7.5% lower).
- Kimi K2 0905 is $0.15 cheaper on the standard workload (7.5% lower).
- Kimi K2 0905 is $0.4 cheaper per 1M input tokens (40% lower; 1.67x difference).
- Grok Build 0.1 is $0.5 cheaper per 1M output tokens (20% lower; 1.25x difference).
- Kimi K2 0905 has 6.14K more context (1.02x larger).
| Feature | Kimi K2 0905 (MoonshotAI) | NewGrok Build 0.1 (xAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.6 | $1 |
| Completion Price per 1M tokens | $2.5 | $2 |
| Sample Workload Cost 1M input + 500K output | $1.85 | $2 |
| Context Window | 262.14K | 256K |
| Release Date | ||
| Popularity | #70 | #119 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Kimi K2 0905 | On the standard 1M input plus 500K output workload, Kimi K2 0905 is estimated at $1.85 vs $2 for Grok Build 0.1, saving $0.15 (7.5% lower). |
| High-volume input processing | Kimi K2 0905 | 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 0905 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Kimi K2.5 can replace Kimi K2 0905 when lower sample workload cost matters most: $1.35.
- Kimi K2 0711 can replace Kimi K2 0905 when lower sample workload cost matters most: $1.72.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
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Open xAI modelsKimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32...
Grok Build 0.1 is xAI’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...