Kimi K3 is Moonshot AI's flagship model. It sits in an interesting position: not the cheapest (that's DeepSeek V4 Flash), not the largest context (that's DeepSeek V4 Pro's 1M), but offering a strong balance of quality and cost.
Specs and Pricing
| Kimi K3 | DeepSeek V4 Flash | GLM-5 | |
|---|---|---|---|
| Input (USD/1M) | $0.30 | $0.14 | $0.20 |
| Output (USD/1M) | $0.90 | $0.28 | $0.60 |
| Context window | 128K | 1M | 128K |
| Max output | 8K tokens | 384K tokens | 8K tokens |
K3 is priced between DeepSeek V4 Flash and GLM-5. Roughly 2x more than V4 Flash for stronger reasoning.
Coding Performance
Moonshot positions K3 as a general-purpose model rather than a coding specialist. In practice:
- Standard coding (function writing, bug fixes, refactoring): Solid, comparable to GLM-5
- Large codebase analysis: Limited by 128K context. DeepSeek V4 Pro's 1M handles this better
- Multi-file changes: Adequate for 3-5 files within a single context
- Debugging: Good at following instructions, occasionally misses subtle bugs that V4 Pro catches
For day-to-day coding in Cursor, Continue, or similar tools, K3 works well. It's not the best coding model — DeepSeek V4 Pro holds that title — but reliable for most tasks.
Reasoning
- Math and logic: Strong. Handles multi-step calculations accurately
- Data analysis: Good at interpreting structured data and drawing conclusions
- Code explanation: Clear, detailed explanations of complex code
- Creative tasks: Better than most models at maintaining consistency in longer outputs
128K Context in Practice
128K tokens is roughly 100K English words. Sufficient for most API calls. Limiting when:
- Analyzing entire repositories
- Processing very long documents
- Multi-turn conversations that accumulate context
If you regularly exceed 128K, DeepSeek V4 Pro at 1M tokens is the better choice — and it's cheaper per token.
Cost Analysis
100 API calls/day, 3K input + 1.5K output per call, 22 working days/month.
| Model | Monthly Cost |
|---|---|
| Kimi K3 | $4.95 |
| DeepSeek V4 Flash | $1.65 |
| GLM-5 | $2.86 |
| GPT-4o | $59.40 |
K3 costs roughly 3x more than V4 Flash but 12x less than GPT-4o. The sweet spot: better reasoning than V4 Flash without paying for V4 Pro's premium.
When to Pick Kimi K3
Good fit:
- General coding assistance where you want better reasoning than V4 Flash
- API applications with moderate context needs (< 100K per request)
- Chat-based products where response quality matters more than speed
- Budget-conscious teams that find V4 Pro overkill
Not ideal:
- Large codebase analysis (need 1M context → DeepSeek V4 Pro)
- High-volume autocomplete (need lowest cost → DeepSeek V4 Flash)
- Chinese-language-heavy workloads (GLM-5 handles Chinese better)
Getting Started
All Moonshot models are available through AIWave with a single API key. No Chinese payment method needed — PayPal works. The $1 free credit covers about 200 Kimi K3 calls, enough to evaluate.
from openai import OpenAI
client = OpenAI(api_key="***", base_url="https://aiwave.live/v1")
response = client.chat.completions.create(
model="kimi-k3",
messages=[{"role": "user", "content": "Explain this code"}]
)
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