Kimi-k1.5 vs Phi-4-multimodal-instruct
Kimi-k1.5 leads the LLM Stats Score 17.2 to 2.8.
Moonshot AI · Microsoft · Updated for 2026
Which is better?
Kimi-k1.5 leads the overall LLM Stats Score 17.2 to 2.8, ranking #218 overall.
In the 2 individual benchmarks reported for both models, Kimi-k1.5 wins 2; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Kimi-k1.5
- overall performance matters — it scores 17.2 and ranks #218 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
Choose Phi-4-multimodal-instruct
- you want the most recent training data — it shipped Feb 2025
- you need open weights you can self-host or fine-tune
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 · 15 for Phi-4-multimodal-instruct
Kimi-k1.5 outperforms in 2 benchmarks (MathVista, MMMU), while Phi-4-multimodal-instruct is better at 0 benchmarks.
Kimi-k1.5 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only Phi-4-multimodal-instruct specifies input context (128,000 tokens). Only Phi-4-multimodal-instruct specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Kimi-k1.5 and Phi-4-multimodal-instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi-k1.5
Phi-4-multimodal-instruct
License
Usage and distribution terms
Kimi-k1.5 is licensed under a proprietary license, while Phi-4-multimodal-instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Kimi-k1.5 was released on 2025-01-20, while Phi-4-multimodal-instruct was released on 2025-02-01.
Phi-4-multimodal-instruct is 0 month newer than Kimi-k1.5.
Jan 20, 2025
1.7 years ago
Feb 1, 2025
1.6 years ago
1w newerKnowledge Cutoff
When training data ends
Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while Kimi-k1.5's cutoff date is not specified.
We can confirm Phi-4-multimodal-instruct's training data extends to 2024-06-01, but cannot make a direct comparison without Kimi-k1.5's cutoff date.
—
Jun 2024
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi-k1.5 and Phi-4-multimodal-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi-k1.5 vs Phi-4-multimodal-instruct.