DeepSeek vs Moonshot AI Kimi — API Comparison
Head-to-head comparison of pricing, features, and use case fit. Updated August 31, 2026.
⚡ Verdict: DeepSeek wins on price and reasoning; Kimi wins on 128K context window.
💰 Pricing Comparison
| Metric | DeepSeek | Moonshot AI Kimi |
|---|---|---|
| Input Price | DeepSeek-V3: ¥0.14/M token (≈$0.02), R1: ¥0.14/M | K3: ¥2/M cached, ¥20/M uncached; K2.7/K2.6: ¥1.10-¥1.30/M cached, ¥6.50/M uncached |
| Output Price | DeepSeek-V3: ¥0.28/M token (≈$0.04), R1: ¥0.28/M | K3: ¥100/M; K2.7/K2.6: ¥27/M |
| China Access | ✅ Direct access in China | ✅ Direct access intended for Mainland China |
| Free Tier | The ¥15 new-user coupon cannot be used for Kimi K3; recharge required | |
| Models | 3+ | 3+ |
| Overall Rank | #4 | #9 |
🤖 Supported Models
DeepSeek
Moonshot AI Kimi
✨ Pros
DeepSeek
- ✓ Industry-lowest pricing: DeepSeek-V3 ¥0.14/M input
- ✓ R1 reasoning model: o1-comparable capabilities at ¥0.14/M
- ✓ Direct China access, no proxy needed
- ✓ ¥500 free credits on signup, generous trial
- ✓ Fully open-source model series, active community
- ✓ Chinese-optimized, excellent for local use cases
Moonshot AI Kimi
- ✓ Kimi K3: 2.8T parameters, 1M-token context, native vision
- ✓ K3 supports Tool Calls, tool_choice, dynamic tool loading, and JSON Schema
- ✓ Automatic context caching for long-running coding agents
- ✓ K2.7 Code / K2.6 offer lower-cost 256K alternatives
⚠️ Cons
DeepSeek
- × Limited model selection (only 3)
- × API occasional instability under high China traffic
- × English capabilities slightly behind GPT-4o/Claude
- × No multimodal output
- × Limited Function Calling (R1 doesn't support, V3 limited)
Moonshot AI Kimi
- × High K3 output price (¥100/M)
- × K3 always reasons; reasoning_effort currently supports max only
- × Official docs say web search is being upgraded; not recommended for production
- × K3 is excluded from the ¥15 new-user coupon
🎯 Best For
DeepSeek
China-based developers; cost-sensitive applications; reasoning tasks (R1); bilingual scenarios
Moonshot AI Kimi
China-based developers needing 1M context, vision, and long-running agents; long documents and repository-scale coding
❓ FAQ
Which is cheaper, DeepSeek or Moonshot AI Kimi? ▼
DeepSeek — Input: DeepSeek-V3: ¥0.14/M token (≈$0.02), R1: ¥0.14/M, Output: DeepSeek-V3: ¥0.28/M token (≈$0.04), R1: ¥0.28/M. Moonshot AI Kimi — Input: K3: ¥2/M cached, ¥20/M uncached; K2.7/K2.6: ¥1.10-¥1.30/M cached, ¥6.50/M uncached, Output: K3: ¥100/M; K2.7/K2.6: ¥27/M.
Which is better for China access? ▼
DeepSeek: ✅ Direct access in China. Moonshot AI Kimi: ✅ Direct access intended for Mainland China.
What is the overall verdict? ▼
DeepSeek wins on price and reasoning; Kimi wins on 128K context window.