DeepSeek V3.2 vs Kimi K2.6: API Price & Benchmark Comparison (INR)
Side-by-side pricing
| DeepSeek V3.2 | Kimi K2.6 | |
|---|---|---|
| Input price / 1M tokens | ₹27.75 | ₹66.65 |
| Output price / 1M tokens | ₹41.27 | ₹280.61 |
| Context window | 163,840 | 262,144 |
| Provider | DeepSeek | Moonshot |
Velona effective INR prices, refreshed every 6 hours (last: 2026-07-28T17:32:59Z).
When to pick which
V3.2 is roughly 3x cheaper on input ($0.21 vs $0.66 per million) and over 10x cheaper on output ($0.32 vs $3.41). Kimi K2.6 justifies the gap in specific places: a 262K context window (double V3.2's 131K) and standout agentic tool-use performance. It is one of the strongest open models for multi-step agent loops and coding agents. For cost-driven chat, extraction, and general coding help, V3.2's economics are unbeatable. For agent frameworks where each step's tool-call reliability compounds, K2.6's premium often pays for itself in fewer failed trajectories.
Benchmarks
DeepSeek V3.2
Benchmarks
Independent scores from Artificial Analysis.
Kimi K2.6
Benchmarks
Independent scores from Artificial Analysis.
Cost calculator for both models
Frequently asked questions
Which is cheaper: DeepSeek V3.2 or Kimi K2.6?
On input tokens, DeepSeek V3.2 costs ₹27.75/1M and Kimi K2.6 costs ₹66.65/1M through Velona. Output tokens: ₹41.27 vs ₹280.61 per 1M.
Can I switch between DeepSeek V3.2 and Kimi K2.6 without changing code?
Yes. Both are behind Velona's single gateway API. Change the model id in your request body and everything else stays the same, including your INR wallet.
Are these prices current?
Prices are regenerated every 6 hours from live provider pricing and the current USD→INR rate, so the figures on this page track what you'd actually be billed.
Velona is India's INR-native AI API gateway with 300+ models behind one API key, UPI top-up from ₹10, no foreign card needed.