Last verified 2026-03-12 (left) · 2026-04-21 (right)
DeepSeek Chat vs Kimi K2.6 — Pricing & Capability Comparison
DeepSeek Chat charges $0.27 per million input tokens and $1.10 per million output tokens. Kimi K2.6 comes in at $0.95 / $4.00. Context windows span 64K vs 262K tokens respectively.
TL;DR — Quick Comparison
- ✓DeepSeek Chat is cheaper overall: $1.37 per 1M tokens (in+out) vs $4.95 for Kimi K2.6 — saves $3.58 per 1M tokens
- ✓Input pricing: DeepSeek Chat $0.27/1M vs Kimi K2.6 $0.95/1M
- ✓Output pricing: DeepSeek Chat $1.10/1M vs Kimi K2.6 $4.00/1M
- ✓Context window: Kimi K2.6 offers more (262K vs 64K)
- ✓Use our calculator below to estimate costs for your specific usage pattern
Input price (per 1M)
DeepSeek Chat
$0.27
Kimi K2.6
$0.95
DeepSeek Chat leads here
Output price (per 1M)
DeepSeek Chat
$1.10
Kimi K2.6
$4.00
DeepSeek Chat leads here
Context window
DeepSeek Chat
64,000 tokens
Kimi K2.6
262,144 tokens
Kimi K2.6 leads here
Cached input
DeepSeek Chat
$0.070
Kimi K2.6
$0.160
DeepSeek Chat leads here
Which one should you choose?
Skip the spreadsheet if you just need the practical takeaway. Use these rules when deciding between DeepSeek Chat and Kimi K2.6.
Choose DeepSeek Chat if input tokens dominate your bill
DeepSeek Chat has the lower input rate, which usually matters most for chat, RAG, classification, and long-prompt workflows where prompt volume stays much larger than generated output.
Choose DeepSeek Chat if you generate long answers
DeepSeek Chat is cheaper on output tokens, so it tends to win for report generation, coding assistance, reasoning traces, and any workflow where completions are long.
Choose Kimi K2.6 if context size is the blocker
Kimi K2.6 offers the larger published context window, which is more important than small pricing differences when you need to fit large files, long chats, or multi-document prompts into one request.
Cost comparison for 10K-token workloads
Side-by-side pricing for identical workloads (10,000 total tokens per request) across different distributions.
| Scenario | DeepSeek Chat | Kimi K2.6 | DeepSeek Chat cached | Kimi K2.6 cached |
|---|---|---|---|---|
Balanced conversation 50% input · 50% output | $0.0069 | $0.0248 | $0.0059 | $0.0208 |
Input-heavy workflow 80% input · 20% output | $0.0044 | $0.0156 | $0.0028 | $0.0093 |
Generation heavy 30% input · 70% output | $0.0085 | $0.0309 | $0.0079 | $0.0285 |
Cached system prompt 90% cached input · 10% fresh output | $0.0035 | $0.0125 | $0.0017 | $0.0054 |
Frequently asked questions
Which is cheaper: DeepSeek Chat or Kimi K2.6?
DeepSeek Chat is cheaper for input tokens at $0.27 per 1M tokens compared to $0.95. For output, DeepSeek Chat costs $1.10 per 1M tokens versus $4.00 for Kimi K2.6.
What is the cost per 1M tokens for DeepSeek Chat?
DeepSeek Chat pricing: $0.27 per 1M input tokens and $1.10 per 1M output tokens. Context window: 64,000 tokens.
What is the cost per 1M tokens for Kimi K2.6?
Kimi K2.6 pricing: $0.95 per 1M input tokens and $4.00 per 1M output tokens. Context window: 262,144 tokens.
How much does it cost per 1K tokens?
Per 1K tokens: DeepSeek Chat costs $0.0003 input / $0.0011 output. Kimi K2.6 costs $0.0009 input / $0.0040 output. This is useful for calculating small-scale usage costs.
Which model supports a larger context window?
Kimi K2.6 offers 262,144 tokens (262K) versus 64K for DeepSeek Chat.
What is the estimated monthly cost for typical usage?
For a typical workload of 10M input + 2M output tokens per month: DeepSeek Chat would cost approximately $4.90, while Kimi K2.6 would cost $17.50. DeepSeek Chat is more economical for this usage pattern.
Do these models support prompt caching?
DeepSeek Chat supports prompt caching at $0.070 per 1M cached tokens, reducing costs for repeated context by up to 74%. Kimi K2.6 supports caching at $0.160 per 1M tokens, saving up to 83%.
Which model is best for my use case?
Choose DeepSeek Chat for cost-sensitive applications with high input volume. Choose Kimi K2.6 if you need 262K context for long documents or conversations. Consider prompt caching if you have repeated context. Use our token calculator to model your specific usage pattern.
Keep exploring this decision
Start from the pricing hub to compare calculators, cost pages, and top decision paths.
Estimate DeepSeek Chat cost with your own token mix.
Estimate Kimi K2.6 cost with your own token mix.
Model the same prompt volume across multiple models before you commit.
See a simplified 100K-token cost view for DeepSeek Chat.
See a simplified 100K-token cost view for Kimi K2.6.
Jump to other side-by-side model pricing comparisons.