MoonshotAI: Kimi K2 0905 Rank
Kimi K2 0905 has an overall score of 64 out of 100, tied for rank 161 of 291. The published scores are price 60, context 53, parameters 75, and freshness 68. The overall score is their average. recency is not published and is left out of the average.
Data sourced from OpenRouter API and manual data collection | Last updated: Nov 3, 2026, 8:01 AM UTC
Component scores are ranked in
tied for rank 161 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 68 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 53 | 262K tokens, output 98.3K | AI Context Window |
| Parameters | 75 | 1T total | AI Parameter Count |
| Price | 60 | $1.07 / 1M blended, $0.6 / 1M input, $2.5 / 1M output | AI Token Price |
160 listed models have a higher overall score. Among MoonshotAI models, it ranks 6 of 7.
Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32...
Higher overall scores
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Frequently asked questions
What is the Kimi K2 0905 rank?
Kimi K2 0905 has an overall score of 64 out of 100, tied for rank 161 of 291. The published scores are price 60, context 53, parameters 75, and freshness 68. The overall score is their average. recency is not published and is left out of the average.
Where does Kimi K2 0905 rank?
Kimi K2 0905 is tied for rank 161 of 291. 160 listed models have a higher overall score. Among MoonshotAI models, it ranks 6 of 7.
What scores make up Kimi K2 0905?
Kimi K2 0905 scores price 60 (AI Token Price), context 53 (AI Context Window), parameters 75 (AI Parameter Count), and freshness 68 (AI Knowledge Cutoff). The overall score of 64 is the average of those 4.