Which is cheaper, Kimi K3 or DeepSeek R2?

Kimi K3 is cheaper at the input + output rate combined: $1.50 versus $2.75 per million tokens.

Which has higher quality, Kimi K3 or DeepSeek R2?

DeepSeek R2 has the higher AA Intelligence Index score: 86 versus 80.

Can I switch between Kimi K3 and DeepSeek R2 via one API?

Both Kimi K3 and DeepSeek R2 are accessible through OpenRouter's unified gateway, which lets you switch models with one API key. Phase 2 of AIpricly will add scenario-routed automatic primary + fallback chains.

Kimi K3 vs DeepSeek R2

Side-by-side pricing, capabilities, real-world cost across common scenarios, and our editorial pick.

添加模型最多可对比 4 个模型

全部价格按美元 / 百万 token 计

OVERALL WINNER

Kimi K3

Moonshot · released 2026-03-15

Quality (AA Index)80

Input price$0.30

Output price$1.20

Context200K

Throughput150 tok/s

P50 latency0.8s

View full pricing

DeepSeek R2

DeepSeek · released 2026-02-15

Quality (AA Index)86

Input price$0.55

Output price$2.20

Context128K

Throughput110 tok/s

P50 latency1.2s

View full pricing

通过 OpenRouter 试用 Kimi K3 通过 OpenRouter 试用 DeepSeek R2

链接通过我们的 OpenRouter 推荐链接在新标签页打开。查看推广披露

规格对比

绿色列 = 该指标获胜方

Metric	Kimi K3	DeepSeek R2	Verdict
Input price /百万 tokens	$0.30	$0.55	Kimi K3 −45%
Output price /百万 tokens	$1.20	$2.20	Kimi K3 −45%
Context window max input length	200K	128K	Kimi K3 +1.6×
AA Quality AA Intelligence Index (0–100)	80	86	DeepSeek R2 +6pt
Arena Elo LMArena human-pref Elo (800–2000)	—	—	Tied
Throughput tokens per second	150	110	Kimi K3 +36%
P50 latency first token	0.8s	1.2s	Kimi K3 −33%
Vision multimodal	—	—	Tied
Function calling tool use			Tied
Reasoning mode chain-of-thought	—

常见场景月度费用

默认用量假设

Scenario	Kimi K3	DeepSeek R2
customer support 1000K req · 600/180 tok	$396	$726
chat with docs 300K req · 4000/300 tok	$468	$858
code generation 500K req · 2000/500 tok	$600	$1.1K
voice assistant 600K req · 800/200 tok	$288	$528

Our pick

For most workloads, choose Kimi K3.

45% cheaper input price, which compounds at scale
1.6× the context window — better for long documents and agents
36% faster throughput — matters for streaming UX and voice agents

Choose DeepSeek R2 instead if: 尚未记录这对模型的具体取舍。两者质量差距可能很小，最终决定因素更多是工作负载契合度、集成成本与团队熟悉度。

为何选择？通过智能路由同时使用两者

第二阶段 · 带故障转移链的网关

Set Kimi K3 as primary, DeepSeek R2 as fallback. One key, one bill, automatic failover when Kimi K3 errors.

第二阶段预览 · 网关尚未上线该接口目前不存在。网关计划在第二阶段上线——下面只是规划中的接口形态预览，不是可用的 API。上线时会通过 newsletter 通知订阅者。

查看计划中的 API 调用形态

$ curl https://api.aipricly.com/v1/chat/completions \
  -H "Authorization: Bearer $AIPC_KEY" \
  -d '{
    "routing": {
      "primary": "moonshot/kimi-k3",
      "fallback": ["deepseek/deepseek-r2"]
    },
    "messages": [{"role": "user", "content": "..."}]
  }'