DeepSeek V4 Pro is $0.3 cheaper per 1M input tokens (41.2% lower; 1.7x difference).
API cost decision in 10 seconds
🔥Kimi K2.6 vs 🔥DeepSeek V4 Pro
Pick DeepSeek V4 Pro when budget and context both matter.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick DeepSeek V4 Pro when budget and context both matter.
On the standard 1M input plus 500K output workload, DeepSeek V4 Pro is estimated at $0.87 vs $2.49 for Kimi K2.6, saving $1.62 (65.1% lower).
Cost-first pickDeepSeek V4 Pro
Context-first pickDeepSeek V4 Pro
Sample savings$1.6265.1%
10x traffic gap$16.2
DeepSeek V4 Pro is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $16.2. Use the calculator below to replace the sample workload with your own token volume.
DeepSeek V4 Pro is $2.63 cheaper per 1M output tokens (75.1% lower; 4.02x difference).
DeepSeek V4 Pro has 786.43K more context (4x larger).
DeepSeek V4 Pro is $1.62 cheaper on the standard workload (65.1% 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
DeepSeek V4 Pro has the lower input price; DeepSeek V4 Pro has the lower output price; DeepSeek V4 Pro offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V4 Pro is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $2.49 for Kimi K2.6 and $0.87 for DeepSeek V4 Pro.
Choose Kimi K2.6 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose DeepSeek V4 Pro when you care most about lower input-token price, lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, DeepSeek V4 Pro is estimated at $0.87 vs $2.49 for Kimi K2.6, saving $1.62 (65.1% lower).
- DeepSeek V4 Pro is $1.62 cheaper on the standard workload (65.1% lower).
- DeepSeek V4 Pro is $0.3 cheaper per 1M input tokens (41.2% lower; 1.7x difference).
- DeepSeek V4 Pro is $2.63 cheaper per 1M output tokens (75.1% lower; 4.02x difference).
- DeepSeek V4 Pro has 786.43K more context (4x larger).
| Feature | 🔥Kimi K2.6 (MoonshotAI) | 🔥DeepSeek V4 Pro (DeepSeek) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.74 | $0.435 |
| Completion Price per 1M tokens | $3.5 | $0.87 |
| Sample Workload Cost 1M input + 500K output | $2.49 | $0.87 |
| Context Window | 262.14K | 1.05M |
| Release Date | 2026-04-20 | 2026-04-24 |
| Popularity Rank current rank | #5 | #8 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | DeepSeek V4 Pro | On the standard 1M input plus 500K output workload, DeepSeek V4 Pro is estimated at $0.87 vs $2.49 for Kimi K2.6, saving $1.62 (65.1% lower). |
| High-volume input processing | DeepSeek V4 Pro | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | DeepSeek V4 Pro | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek V4 Pro | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
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Open DeepSeek 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...
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...