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.

Add a modelUp to 4 models can be compared

all prices in USD per 1M tokens

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

Try Kimi K3 on OpenRouter Try DeepSeek R2 on OpenRouter

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Head-to-head specs

Green column = winner per metric

Metric	Kimi K3	DeepSeek R2	Verdict
Input price /1M tokens	$0.30	$0.55	Kimi K3 −45%
Output price /1M 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	—

Monthly cost across common scenarios

Default usage assumptions

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: Tradeoffs for this pair have not yet been documented. The quality difference may be small enough that workload fit, integration cost, and team familiarity decide the choice.

Why pick? Use both with smart routing

Phase 2 · gateway with fallback chain

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

PHASE 2 PREVIEW · gateway not live yetThis endpoint does not exist yet. The gateway is in Phase 2 — what you see below is a design preview of the planned interface, not a live API. We will email subscribers when it launches.

Preview the planned API call

$ 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": "..."}]
  }'