MoonshotAI: Kimi K2 0711 Rank
Kimi K2 0711 has an overall score of 62 out of 100, tied for rank 185 of 291. The published scores are price 61, context 44, 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 185 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 68 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 44 | 131K tokens, output 98.3K | AI Context Window |
| Parameters | 75 | 1T total, 32B active | AI Parameter Count |
| Price | 61 | $1 / 1M blended, $0.57 / 1M input, $2.3 / 1M output | AI Token Price |
184 listed models have a higher overall score. Among MoonshotAI models, it ranks 7 of 7.
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. It is optimized for...
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Frequently asked questions
What is the Kimi K2 0711 rank?
Kimi K2 0711 has an overall score of 62 out of 100, tied for rank 185 of 291. The published scores are price 61, context 44, 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 0711 rank?
Kimi K2 0711 is tied for rank 185 of 291. 184 listed models have a higher overall score. Among MoonshotAI models, it ranks 7 of 7.
What scores make up Kimi K2 0711?
Kimi K2 0711 scores price 61 (AI Token Price), context 44 (AI Context Window), parameters 75 (AI Parameter Count), and freshness 68 (AI Knowledge Cutoff). The overall score of 62 is the average of those 4.