Side-by-side comparison · models
Kimi K2 0711 vs Kimi K2.5
What we have checked about each, line by line. Every value shows where it came from and when we last confirmed it.
Models
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.
Models
Kimi K2.5
Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm.
Checked facts
Line by line
| Measure | Kimi K2 0711 | Kimi K2.5 |
|---|---|---|
| Input price | $0.570 per million tokens | $0.532 per million tokens |
| Output price | $2.30 per million tokens | $3.33 per million tokens |
| Price on novita | $0.570 per million input tokens | $0.570 per million input tokens |
| Price on novita | $2.30 per million output tokens | $2.85 per million output tokens |
| Price on amazon-bedrock | Not checked yet | $0.600 per million input tokens |
| Price on amazon-bedrock | Not checked yet | $3.00 per million output tokens |
| Price on atlas-cloud | Not checked yet | $0.200 per million cached input tokens |
| Price on atlas-cloud | Not checked yet | $0.490 per million input tokens |
| Price on atlas-cloud | Not checked yet | $2.50 per million output tokens |
| Price on novita | Not checked yet | $0.095 per million cached input tokens |
| Price on siliconflow | Not checked yet | $0.150 per million cached input tokens |
| Price on siliconflow | Not checked yet | $0.500 per million input tokens |
| Price on siliconflow | Not checked yet | $2.50 per million output tokens |
| Price on venice | Not checked yet | $0.209 per million cached input tokens |
| Price on venice | Not checked yet | $0.532 per million input tokens |
| Price on venice | Not checked yet | $3.33 per million output tokens |
| Latest version | moonshotai/kimi-k2 | moonshotai/kimi-k2.5-0127 |
| Time to first token (ms) | 1,900 | 1,780 |
| Time to first token (ms) on novita | 1,444 | 1,374 |
| Output speed (tokens a second) | 42.8 | 45.4 |
| Output speed (tokens a second) on novita | 36 | 38 |
| Time to first token (ms) on amazon-bedrock | Not checked yet | 1,140 |
| Time to first token (ms) on atlas-cloud | Not checked yet | 817 |
| Time to first token (ms) on siliconflow | Not checked yet | 1,549 |
| Time to first token (ms) on venice | Not checked yet | 1,011 |
| Output speed (tokens a second) on amazon-bedrock | Not checked yet | 52 |
| Output speed (tokens a second) on atlas-cloud | Not checked yet | 45 |
| Output speed (tokens a second) on siliconflow | Not checked yet | 22 |
| Output speed (tokens a second) on venice | Not checked yet | 22 |
| Tokens served on OpenRouter in a day | 231.2M (for 10 Nov 2026) | 3.8B (for 10 Nov 2026) |
| Tool calls on OpenRouter in a day | 4.3K (for 10 Nov 2026) | 46.7K (for 10 Nov 2026) |
| Artificial Analysis Intelligence Index | 12.7 | 23.5 |
| Design Arena rating (Elo) | 1,046 | 1,245 |
| Artificial Analysis Coding Index | Not checked yet | 46.8 |
| LMArena text rating (Elo) | Not checked yet | 1,445 |
| LMArena web development rating (Elo) | Not checked yet | 1,436 |
| LMArena vision rating (Elo) | Not checked yet | 1,269 |
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