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Model comparison

Kimi K2 0711 vs Kimi K2 0905

Price history, scores and specs for both models, line by line. Every value shows where it came from and when we last confirmed it.

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Moonshotai

Kimi K2 0711

Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass.

15 checked values

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Moonshotai

Kimi K2 0905

Kimi K2 0905 is the September update of Kimi K2 0711.

15 checked values

Quick take

Where each one leads

  • Kimi K2 0711 costs less to send text to: $0.570 per million tokens, against $0.600 per million tokens for Kimi K2 0905.
  • Kimi K2 0711 costs less per word it writes: $2.30 per million tokens, against $2.50 per million tokens for Kimi K2 0905.
  • Kimi K2 0905 reads more at once: 262,144 tokens, against 131,072 tokens.
  • Kimi K2 0905 scores higher on the Artificial Analysis Intelligence Index: 15.3 to 12.7.
  • More people run Kimi K2 0905 through OpenRouter than Kimi K2 0711 right now.

Each line comes from a checked value in the tables below. Pick on your workload: price and usage matter for high volume, context and scores for long documents and agent loops.

Price history

Prices side by side, day by day

Input price history
$0.568$0.585$0.6023 Sept 202610 Nov 2026
Output price history
$2.28$2.40$2.523 Sept 202610 Nov 2026

Prices are the listed OpenRouter base rates in US dollars. A day we could not confirm is left out of the line, never filled in.

Price

What each one costs now

Kimi K2 0711 vs Kimi K2 0905: What each one costs now
MeasureKimi K2 0711Kimi K2 0905
Input price$0.570 per million tokens LeadsChecked OpenRouter models API$0.600 per million tokensChecked OpenRouter models API
Output price$2.30 per million tokens LeadsChecked OpenRouter models API$2.50 per million tokensChecked OpenRouter models API

Scores

Benchmarks, with source and date

Kimi K2 0711 vs Kimi K2 0905: Benchmarks, with source and date
MeasureKimi K2 0711Kimi K2 0905
Artificial Analysis Intelligence Index12.7Checked Artificial Analysis via OpenRouter15.3 LeadsChecked Artificial Analysis via OpenRouter
Design Arena rating (Elo)1,046Checked Design Arena via OpenRouter1,103 LeadsChecked Design Arena via OpenRouter

Specs

Context, modalities and tool use

Kimi K2 0711 vs Kimi K2 0905: Context, modalities and tool use
MeasureKimi K2 0711Kimi K2 0905
Context window131,072 tokensChecked OpenRouter models API262,144 tokens LeadsChecked OpenRouter models API
ReadsTextChecked OpenRouter models APITextChecked OpenRouter models API
WritesTextChecked OpenRouter models APITextChecked OpenRouter models API
Tool callingYesChecked OpenRouter models APIYesChecked OpenRouter models API
Reasoning modeNoChecked OpenRouter models APINoChecked OpenRouter models API
Open weightsYesChecked OpenRouter models APIYesChecked OpenRouter models API
Listed since11 July 2025Checked OpenRouter models API4 Sept 2025Checked OpenRouter models API

Usage

How much each one is used

Kimi K2 0711 vs Kimi K2 0905: How much each one is used
MeasureKimi K2 0711Kimi K2 0905
Tokens served on OpenRouter in a day231.2M (for 10 Nov 2026)Checked OpenRouter model activity (748 of 748 series)492.6M Leads (for 10 Nov 2026)Checked OpenRouter model activity (748 of 748 series)
Requests on OpenRouter in a day41.4K (for 10 Nov 2026)Checked OpenRouter model activity (748 of 748 series)143.1K Leads (for 10 Nov 2026)Checked OpenRouter model activity (748 of 748 series)
Tool calls on OpenRouter in a day4.3K (for 10 Nov 2026)Checked OpenRouter model activity (748 of 748 series)4.6K Leads (for 10 Nov 2026)Checked OpenRouter model activity (748 of 748 series)
Token usage, last 7 daysUp 10% on the week before Leads (for 10 Nov 2026)Checked OpenRouter model activity (748 of 748 series)Down 1% on the week before (for 10 Nov 2026)Checked OpenRouter model activity (748 of 748 series)
Tokens served a day on OpenRouter
48.7M804.2M1.6B19 Sept 202610 Nov 2026

How this works

One link, either order

This link stays the same whichever order you name the two models in, so you can share it as it is. A line appears only when at least one model has a value we confirmed from a source; values we have not confirmed are left out, never guessed. To add a third record of any type, use the open comparison. Read how we check facts.