Moonshot's flagship 2.8T-parameter MoE model. 256K context window. 95% cheaper than GPT-5 with comparable performance on most tasks. One unified API, no Chinese phone required.
Get $1 Free Credit โ View Code ExamplePricing per 1M tokens. Lower is better. Data verified 2026-07-19.
| Model | Input | Output | Context | vs GPT-5 |
|---|---|---|---|---|
| ๐ข Kimi K3 (TokenEase) | $0.50 | $2.00 | 256K | โ95% |
| DeepSeek V4 | $0.27 | $1.10 | 128K | โ97% |
| GLM-5.1 | $0.30 | $1.20 | 128K | โ96% |
| Qwen-Plus | $0.40 | $1.30 | 128K | โ96% |
| Claude 4 Opus | $15.00 | $75.00 | 200K | +500% |
| GPT-5 | $10.00 | $30.00 | 128K | baseline |
Mixture-of-Experts architecture. K3 activates 32B parameters per token โ only the experts you need, when you need them.
Process entire codebases or 600-page documents in a single request. Twice the context of GPT-5.
Same business outcomes for 1/20th the price. Run 1,000 GPT-5 requests for the cost of 50.
Skip the Chinese phone number, business license, and Alipay. Just an email address and you're in.
Drop-in replacement. Change base_url and api_key. Works with all OpenAI SDKs.
Top of Artificial Analysis index. Surpasses GPT-5 on MMLU-Pro (89.2%) and HumanEval+ (94.7%).
Bottom line: K3 wins on knowledge and code generation. GPT-5 leads on advanced math and software engineering. For 95% of business applications, K3 is the better deal.
Real example โ 10,000 chat requests per month
Monthly cost: K3 saves you $49.50/month โ $594/year per use case
That's it. The same SDK you already use for OpenAI. Just change the base URL.
256K context = entire knowledge base in one prompt. K3 remembers every previous conversation.
Upload 600-page legal contracts, financial reports, or research papers. Get cited answers.
94.7% on HumanEval+. Generate production-ready functions from natural language.
Native Chinese, strong in 50+ languages. Better than GPT-5 for CJK content.
Is K3 better than GPT-5?
On coding and general knowledge, K3 is on par or better (89.2% vs 87.8% MMLU-Pro). On advanced math and SWE-bench, GPT-5 still leads. For most business workloads, K3 wins on price-performance.
Why is K3 so much cheaper?
MoE architecture activates only ~32B of the 2.8T parameters per token, so compute cost is much lower. Moonshot also has cheaper domestic infrastructure.
Do I need a Chinese phone number or business account?
No. TokenEase handles the China-side setup. You just need an email.
Is my data private?
Yes. TokenEase does not log prompts. K3 runs on isolated infrastructure. Your data is not used for training.
What if I need other models too?
Same API key works for all 6 models: K3, DeepSeek V4, GLM-5, Qwen-Plus, Doubao, and Claude/GPT-5 (separate pricing).
$1 free credit. No credit card. No phone verification. Just an email.
Kimi K3: $0.50/M input ยท $2.00/M output ยท 256K context. Pay-as-you-go with overage billing.
Get $1 Free Credit โ Read API Docs