Kimi K3.1 Pro Pricing, Benchmarks & Channels

Kimi K3.1 Pro is a 2026-10-23 model from Moonshot AI (Kimi) featuring a 1M context window and extended reasoning capabilities. Lowest rate on OpenRouter ($2 in / $10 out per 1M tokens).

⚖️ Compare in Radar Workbench 🧮 Monthly Cost Simulator
Input Price / 1M
$1.9437
Output Price / 1M
$10.1671
Cache Read / 1M
$0.1944
Context Window
1M
Generation Speed
43 TPS
Access Grade
A · CN Direct

F.A.R.E. Four-Dimension Score Breakdown

A · Accurate (Capability) 94/100 · Elo 1512 F · Fast (Speed & Latency) 43 Token/s · TTFT 4960ms R · Reliable (Stability & Access) Grade A · CN Domestic / CN Direct E · Economical (Cost) $1.9437 in · $10.1671 out
Scenario Capability Breakdown (0–100):
💻 Coding
94/100
✍️ Writing
94/100
📚 Long-Doc RAG
97/100
👁️ Vision OCR
93/100
F.A.R.E. CAPABILITY RADAR
A · Accurate F · Fast E · Economical R · Reachable

Kimi K3.1 Pro Multi-Platform Price Comparison (6 Verified Channels)

All prices are in USD per 1M tokens. Domestic developers can prioritize channels marked "Direct in CN" for compliant access and local billing.

Platform / Gateway Network Access Input ($/1M) Output ($/1M) Cache Hit ($/1M) Billing & Notes Link
OpenRouter Lowest Price Direct in CN $2 $10 $0.2 Direct CN access · RMB billing Visit Official →
Together AI Global Network $2 $10 $0.2 Global cloud billing Visit Official →
Fireworks AI Global Network $2 $10 $0.2 Global cloud billing Visit Official →
DeepInfra Global Network $2 $10 $0.2 Global cloud billing Visit Official →
Moonshot CN Official Direct in CN $1.9437 $10.1671 $0.1944 Direct CN access · RMB billing Visit Official →
302.AI Gateway Direct in CN $2.4 $12 $0.24 Direct CN access · RMB billing Visit Official →

✅ Core Strengths & Ideal Workloads

  • Top-tier empirical capability score (94 index)
  • Direct access in mainland China with RMB enterprise billing
  • Open weights available for private self-hosting (~248GB VRAM at INT4)

⚠️ Limitations & Practical Caveats

  • Direct domestic API and global endpoints; Kimi K3.1 Pro leads open-weight coding and 1M+ long-context tasks.
  • Extended thinking generates internal reasoning tokens (~1.8x output multiplier)