Kimi K2.6 vs Grok 4.20 Beta
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | Kimi K2.6 | Grok 4.20 Beta |
|---|---|---|
| Provider | Moonshot AI | xAI |
| Input Price (1M) | $0.95 | $1.25 |
| Output Price (1M) | $4.00 | $2.50 |
| Context Window | 262,144 | 1,000,000 |
Verdict
Kimi K2.6 costs $0.95 per 1M input tokens and $4.00 per 1M output tokens. Grok 4.20 Beta costs $1.25 per 1M input tokens and $2.50 per 1M output tokens. Kimi K2.6 is 24% cheaper on input tokens than Grok 4.20 Beta. For output tokens, Grok 4.20 Beta is the more affordable option at $2.50/1M vs $4.00.
On context window, Grok 4.20 Beta supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose Kimi K2.6
- ✓ You need the lowest input token cost ($ 0.95/1M)
- ✓ You are already integrated with Moonshot AI
When to choose Grok 4.20 Beta
- ✓ Your workload is output-heavy — Grok 4.20 Beta generates text cheaper
- ✓ You need a larger context window (1,000,000 tokens)
- ✓ You are already integrated with xAI
Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.
Frequently Asked Questions
Is Kimi K2.6 cheaper than Grok 4.20 Beta? ▼
Kimi K2.6 is cheaper on input tokens at $0.95/1M vs $1.25/1M for Grok 4.20 Beta — a 24% saving.
What is the context window of Kimi K2.6 vs Grok 4.20 Beta? ▼
Kimi K2.6 has a 262,144-token context window. Grok 4.20 Beta has a 1,000,000-token context window. Grok 4.20 Beta supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: Kimi K2.6 or Grok 4.20 Beta? ▼
The best choice depends on your use case. For cost efficiency on input tokens, Kimi K2.6 is the cheaper option. For maximum context length, Grok 4.20 Beta supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.