Home › Guides › Best Chinese LLM API for Coding (2026)
Coding workloads split three ways: hard reasoning on complex refactors, long agentic sessions across a repo, and high-volume generation of boilerplate. Here is the pick for each — with the prices actually on our price table, not marketing numbers.
$1.27 / $3.80 $0.28 / $0.82 save 78% per 1M tokens
The default coding flagship — frontier code reasoning at 78% below official peak pricing, flat around the clock. If your team only adds one coding model, this is it.
≈ $3.68/mo at 10M tokens · cache $0.028 · model page →
$0.56 / $1.13 per 1M tokens
The coding specialist — 256K context for whole-repo review and agentic code sessions, at value pricing with no official anchor games.
≈ $6.35/mo at 10M tokens · cache $0.056 · model page →
$0.42 / $1.27 $0.14 / $0.28 save 67% per 1M tokens
The budget pick — 67% off official for high-volume generation, tests and simple edits where latency-to-first-token matters more than peak reasoning.
≈ $1.58/mo at 10M tokens · cache $0.014 · model page →
| Priority | Pick | Why |
|---|---|---|
| Lowest cost | DeepSeek V4 Flash $0.14 / $0.28 | DeepSeek V4 Flash — 67% off official, fastest payback at scale. |
| Balanced | Kimi K2.7 Code $0.56 / $1.13 | Kimi K2.7 Code — the specialist balance: 256K context, strong code reasoning, value price. |
| Best quality | DeepSeek V4 Pro $0.28 / $0.82 | DeepSeek V4 Pro — the reasoning flagship, and still 78% below official peak. |
If your coding agents hold very long conversations in context, Kimi K2.6 shares K2.7 Code's 256K context at the same price for general agent work. If you need image understanding alongside code (screenshots of UIs, diagrams), GLM-5.2 is the only vision-capable model in the catalog.
Which Chinese model is best for coding?
DeepSeek V4 Pro is the default: frontier code reasoning at $0.28/$0.82 per 1M tokens — 78% below official peak pricing with no peak-hour surcharges. Kimi K2.7 Code is the coding-specialist alternative with 256K context, and DeepSeek V4 Flash covers cheap high-volume generation.
Is Kimi K2.7 Code better than DeepSeek V4 Pro for coding?
It depends on the workload. K2.7 Code is tuned for code-specific tasks and long agentic sessions with its 256K context, at $0.56/$1.13. DeepSeek V4 Pro is the stronger general reasoning model and is cheaper ($0.28/$0.82). Try both — one API key, swap by changing one string.
What does DeepSeek V4 Pro cost for a typical month?
At a typical 10M input + 2M output tokens/month with 30% cache hits, DeepSeek V4 Pro costs about $3.68/month on Bridge — versus roughly $17 at official peak rates.