Which is cheaper, Kimi K3 or Gemini 2.5 Pro?

Kimi K3 is cheaper at the input + output rate combined: $1.50 versus $11.25 per million tokens.

Which has higher quality, Kimi K3 or Gemini 2.5 Pro?

Gemini 2.5 Pro has the higher AA Intelligence Index score: 87 versus 80.

Can I switch between Kimi K3 and Gemini 2.5 Pro via one API?

Both Kimi K3 and Gemini 2.5 Pro 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 Gemini 2.5 Pro

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

Gemini 2.5 Pro

Google · released 2025-09-01

Quality (AA Index)87

Input price$1.25

Output price$10.00

Context1M

Throughput140 tok/s

P50 latency0.8s

View full pricing

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Head-to-head specs

Green column = winner per metric

Metric	Kimi K3	Gemini 2.5 Pro	Verdict
Input price /1M tokens	$0.30	$1.25	Kimi K3 −76%
Output price /1M tokens	$1.20	$10.00	Kimi K3 −88%
Context window max input length	200K	1M	Gemini 2.5 Pro +5.0×
AA Quality AA Intelligence Index (0–100)	80	87	Gemini 2.5 Pro +7pt
Arena Elo LMArena human-pref Elo (800–2000)	—	—	Tied
Throughput tokens per second	150	140	Kimi K3 +7%
P50 latency first token	0.8s	0.8s	Tied
Vision multimodal	—
Function calling tool use			Tied
Reasoning mode chain-of-thought	—

Monthly cost across common scenarios

Default usage assumptions

Scenario	Kimi K3	Gemini 2.5 Pro
customer support 1000K req · 600/180 tok	$396	$2.5K
chat with docs 300K req · 4000/300 tok	$468	$2.4K
code generation 500K req · 2000/500 tok	$600	$3.8K
voice assistant 600K req · 800/200 tok	$288	$1.8K

Our pick

For most workloads, choose Kimi K3.

76% cheaper input price, which compounds at scale
7% faster throughput — matters for streaming UX and voice agents

Choose Gemini 2.5 Pro instead if: Largest context window in the top tier (1M tokens). Tradeoff: pricier than DeepSeek and slower TTFT than GPT-5 — pick when whole-codebase or whole-PDF tasks matter.

Read our deep analysis

GPT-5 dominated the AI conversation this week

Why pick? Use both with smart routing

Phase 2 · gateway with fallback chain

Set Kimi K3 as primary, Gemini 2.5 Pro 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": ["google/gemini-2-5-pro"]
    },
    "messages": [{"role": "user", "content": "..."}]
  }'