Kimi-k1.5 vs Nova Micro
Kimi-k1.5 leads the LLM Stats Score 17.1 to 2.4.
Moonshot AI · Amazon · Updated for 2026
Which is better?
Kimi-k1.5 leads the overall LLM Stats Score 17.1 to 2.4, ranking #234 overall.
The models split the 2 individual benchmarks reported for both models evenly.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Kimi-k1.5
- overall performance matters — it scores 17.1 and ranks #234 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you want the most recent training data — it shipped Jan 2025
Choose Nova Micro
- you want predictable pricing at $0.03/M input and $0.14/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for Kimi-k1.5 · 17 for Nova Micro
Kimi-k1.5 outperforms in 1 benchmarks (MMLU), while Nova Micro is better at 0 benchmarks.
Kimi-k1.5 has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only Nova Micro specifies input context (128,000 tokens). Only Nova Micro specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Kimi-k1.5 supports multimodal inputs, whereas Nova Micro does not.
Kimi-k1.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Kimi-k1.5
Nova Micro
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Kimi-k1.5 was released on 2025-01-20, while Nova Micro was released on 2024-11-20.
Kimi-k1.5 is 2 months newer than Nova Micro.
Jan 20, 2025
1.7 years ago
2mo newerNov 20, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi-k1.5 and Nova Micro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi-k1.5 vs Nova Micro.