Kimi K2.6 is $4.27 cheaper per 1M input tokens (85.4% lower; 6.85x difference).
API cost decision in 10 seconds
🔥Kimi K2.6 vs 🔥Claude Opus 4.6
Pick Kimi K2.6 for lower cost; pick Claude Opus 4.6 only if the larger context window matters more.
Budget verdict
Pick Kimi K2.6 for lower cost; pick Claude Opus 4.6 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Kimi K2.6 is estimated at $2.48 vs $17.5 for Claude Opus 4.6, saving $15.03 (85.9% lower).
Claude Opus 4.6 has more context, but Kimi K2.6 saves $15.03 on the standard workload. At 10x that traffic, the same price gap is about $150.25. Use the calculator below to replace the sample workload with your own token volume.
Kimi K2.6 is $21.51 cheaper per 1M output tokens (86% lower; 7.16x difference).
Claude Opus 4.6 has 737.86K more context (3.81x larger).
Kimi K2.6 is $15.03 cheaper on the standard workload (85.9% 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 K2.6 has the lower input price; Kimi K2.6 has the lower output price; Claude Opus 4.6 offers the larger context window. For the 1M input plus 500K output sample, Kimi K2.6 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $2.48 for Kimi K2.6 and $17.5 for Claude Opus 4.6.
Choose Kimi K2.6 when you care most about lower input-token price, and lower output-token price.
Choose Claude Opus 4.6 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Kimi K2.6 is estimated at $2.48 vs $17.5 for Claude Opus 4.6, saving $15.03 (85.9% lower).
- Kimi K2.6 is $15.03 cheaper on the standard workload (85.9% lower).
- Kimi K2.6 is $4.27 cheaper per 1M input tokens (85.4% lower; 6.85x difference).
- Kimi K2.6 is $21.51 cheaper per 1M output tokens (86% lower; 7.16x difference).
- Claude Opus 4.6 has 737.86K more context (3.81x larger).
| Feature | 🔥Kimi K2.6 (MoonshotAI) | 🔥Claude Opus 4.6 (Anthropic) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.73 | $5 |
| Completion Price per 1M tokens | $3.49 | $25 |
| Sample Workload Cost 1M input + 500K output | $2.48 | $17.5 |
| Context Window | 262.14K | 1M |
| Release Date | ||
| Popularity Rank current rank | #9 | #11 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Kimi K2.6 | On the standard 1M input plus 500K output workload, Kimi K2.6 is estimated at $2.48 vs $17.5 for Claude Opus 4.6, saving $15.03 (85.9% lower). |
| High-volume input processing | Kimi K2.6 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Kimi K2.6 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Claude Opus 4.6 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Kimi K2.5 can replace Kimi K2.6 when lower sample workload cost matters most: $1.35.
- Kimi K2 0711 can replace Kimi K2.6 when lower sample workload cost matters most: $1.72.
- Kimi K2 Thinking can replace Kimi K2.6 when lower sample workload cost matters most: $1.85.
- Kimi K2 0905 can replace Kimi K2.6 when lower sample workload cost matters most: $1.85.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- GPT-5.5 offers 1.05M context with $20 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
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Open provider hubsMoonshotAI catalog
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Open Anthropic modelsKimi 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...
Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...