Chinese labs were first to ship dedicated coding model tiers at commodity prices, and in 2026 the gap between "cheap" and "capable" has effectively closed for most production coding workloads. This guide covers the coding-capable Chinese lineup available via API today, what each is actually good for, and what a real month of agentic coding costs on each.
The coding lineup at a glance (Sep 2026)
| Model | Lab | Price per 1M (in/out) | Context | Role in your stack |
|---|---|---|---|---|
| kimi-k2.7-code | Moonshot | $0.67 / $3.40 | — | Agentic coding specialist (IDE agents, CI bots) |
| kimi-k2.7-code-highspeed | Moonshot | $2.073 / $8.61 | — | Latency-sensitive agent loops |
| deepseek-v4-flash | DeepSeek | $0.08 / $0.17 | 1M | Bulk code tasks: linting, migration, test gen |
| deepseek-v4-pro | DeepSeek | $0.57 / $1.15 | 1M | Hard reasoning, architecture-level refactors |
| kimi-k3 | Moonshot | $2.90 / $14.50 | 1M | Repository-scale understanding, flagship quality |
| qwen3.8-max | Alibaba | $1.84 / $5.52 | 256K | Generalist flagship, multilingual codebases |
| glm-5.3 | Zhipu | $1.25 / $4.00 | 1M | Balanced coding + tool calling; free flash tiers for prototyping |
| doubao-seed-2.0-code | ByteDance | $0.448 / $2.24 | — | Dedicated code tier from Volcano Engine |
| minimax-m3 | MiniMax | $0.30 / $1.20 | — | Cost-efficient generalist with solid code output |
All prices are NovAI list rates — provider price, zero platform fee.
What a month of agentic coding actually costs
Assume a heavy individual developer: ~2B input and 400M output tokens per month (IDE agent running all day, long system prompts, repo context stuffed into most calls):
| Model | Monthly cost (2B in + 400M out) |
|---|---|
| deepseek-v4-flash | ~$228 |
| minimax-m3 | ~$1,080 |
| kimi-k2.7-code | ~$2,700 |
| deepseek-v4-pro | ~$1,600 |
| glm-5.3 | ~$4,100 |
| kimi-k3 | ~$11,600 |
Two practical takeaways: (1) routing matters more than model choice — a flash model for mechanical passes and a flagship for hard steps cuts cost several-fold; (2) even flagship-tier Chinese coding models price below US coding-flagship list rates at comparable volumes.
Picking by workload
IDE agents (Claude Code, Cline, Roo, Cursor)
These tools fire many sequential calls with big contexts. kimi-k2.7-code is purpose-built for this loop, and its highspeed tier exists specifically to keep interactive latency down. If your agent runs unattended (CI, batch refactors), deepseek-v4-flash drives cost to rounding-error levels. We have step-by-step wiring guides for Claude Code, Cline & Roo, Cursor and Codex CLI.
Repository-scale understanding
Whole-repo questions need context, not just quality. kimi-k3, deepseek-v4-pro and glm-5.3 all offer 1M-token contexts — enough to stuff a mid-size service into a single call and ask cross-cutting questions.
Bulk mechanical work
Migrations, test generation, lint-fix loops, docstrings: deepseek-v4-flash at $0.08/$0.17 is the volume king; doubao-seed-2.0-lite ($0.075/$0.45) and qwen-plus ($0.185/$0.53) are strong alternates when you want vendor diversity.
Prototyping for free
Zhipu's glm-4.7-flash and glm-4.6v-flash are free and unlimited on NovAI — fine for hacking on prompts and UI glue before you promote the workload to a paid tier.
One base URL, whole lineup
# Any OpenAI-compatible client: swap base_url, keep everything else
client = OpenAI(api_key="sk-novai-YOUR_KEY",
base_url="https://aiapi-pro.com/v1")
resp = client.chat.completions.create(
model="kimi-k2.7-code", # or deepseek-v4-pro, qwen3.8-max, glm-5.3...
messages=[{"role":"user","content":"Refactor this module for testability:\n..."}],
)
# Note: Kimi routes on NovAI use a fixed temperature (upstream requirement)Sign-up takes about a minute, includes $2 free credit without a card, and top-ups accept USDT (TRC20) or Visa / Mastercard / UnionPay — no Chinese phone number or Alipay required.
FAQ
Is Kimi K2.7 Code better than DeepSeek for coding?
They fill different slots: K2.7 Code is a specialist tier tuned for agentic loops (and has a highspeed variant for latency); DeepSeek V4 Pro is a general flagship that codes very well at 1M context for less. Many teams run both — DeepSeek for bulk, Kimi for interactive agent work.
Do these models work in Claude Code / Cursor / Cline?
Yes — all are OpenAI-compatible via NovAI's base URL. Each tool has a dedicated setup guide linked above.
Why is temperature fixed on Kimi models?
The upstream Moonshot route accepts only temperature=1; NovAI pins it automatically so your existing client code does not error.
Every Chinese coding model, one API key
Kimi K2.7 Code, DeepSeek V4, Qwen, GLM, Doubao — at provider list price with zero platform fee. $2 free credit, no card required.
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