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Best Chinese LLM for Agents & Long Documents (2026)

Agent workloads are context-hungry: long histories, tool loops, whole documents. The winning move is a model with a 256K context window and cached-input billing so repeated context stops costing. Here is the hierarchy.

The picks

1

Kimi K3 Flagship

Moonshot AI

$3.08 / $15.42 $2.47 / $12.34 save 20% per 1M tokens

The maximum-context flagship โ€” 256K tokens for whole-repo review and long-horizon agent loops. The most capable long-context model on Bridge, 20% below official.

โ‰ˆ $42.72/mo at 10M tokens ยท cache $0.25 ยท model page โ†’

2

Kimi K2.6 Value

Moonshot AI

$0.56 / $1.13 per 1M tokens

The value workhorse โ€” the same 256K context at a fraction of K3 cost ($0.56/$1.13). For most production agents, this is the right default.

โ‰ˆ $6.35/mo at 10M tokens ยท cache $0.056 ยท model page โ†’

3

MiniMax M3 Value

MiniMax

$0.28 / $0.59 per 1M tokens

The budget agent โ€” 128K context at $0.28/$0.59 for agents whose conversations stay shorter and whose budgets are hard.

โ‰ˆ $3.32/mo at 10M tokens ยท cache $0.06 ยท model page โ†’

How we pick: the same rules as the picker on the models page โ€” match the workload to a quality band (Flagship / Value / High-volume / Embedding), then rank within the band by real per-1M-token prices from the live price table. No benchmarks, no affiliate bias: these are the prices the API actually bills.

Decision matrix โ€” agents & long documents

PriorityPickWhy
Lowest costMiniMax M3 $0.28 / $0.59MiniMax M3 โ€” 128K context at $0.28/$0.59 for cost-sensitive agents.
BalancedKimi K2.6 $0.56 / $1.13Kimi K2.6 โ€” full 256K context at value pricing; the production default.
Best qualityKimi K3 $2.47 / $12.34Kimi K3 โ€” the flagship 256K model when agent quality is the constraint.

When to pick something else

For agents that also write code, Kimi K2.7 Code keeps the 256K context with a coding-tuned profile. If your "agent" is really a long RAG pipeline, check the RAG guide โ€” the generation companion (DeepSeek V4 Flash) is dramatically cheaper.

FAQ

Which Chinese model has the largest context window?
Kimi K3 and Kimi K2.6 both offer 256K tokens. K3 is the flagship at $2.47/$12.34 (20% below official); K2.6 is the value tier at $0.56/$1.13.

How do agent token costs stay under control?
Two levers: cached-input billing (repeat context billed at roughly 1/10 on Bridge models that support it) and picking the value tier that fits your quality bar. Kimi K2.6 at $0.56/$1.13 is the common production answer.

Is Kimi K3 worth it over Kimi K2.6 for agents?
K3 buys the strongest reasoning for long-horizon planning and hard tool-use decisions. If your agents mostly retrieve and summarize, K2.6 is the value call โ€” same context, a fraction of the price.

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