Model Comparison
Kimi K3 vs Phi-4-multimodal-instructWhich is better in 2026?
Kimi K3 significantly outperforms across most benchmarks. Phi-4-multimodal-instruct is 96.0x cheaper per token.
Verdict: Kimi K3 vs Phi-4-multimodal-instruct — which is better?
Kimi K3 (by Moonshot AI) and Phi-4-multimodal-instruct (by Microsoft) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Kimi K3 outperforms in 1 benchmarks (MMMU-Pro), while Phi-4-multimodal-instruct is better at 0 benchmarks. Kimi K3 significantly outperforms across most benchmarks.
On price, Phi-4-multimodal-instruct is roughly 96.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K3 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Kimi K3 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Choose Phi-4-multimodal-instruct if…
- cost matters — it's about 96.0x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K3 outperforms in 1 benchmarks (MMMU-Pro), while Phi-4-multimodal-instruct is better at 0 benchmarks.
Kimi K3 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K3 ($3.00/1M tokens) is 60.0x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).
For output processing, Kimi K3 ($15.00/1M tokens) is 150.0x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).
In conclusion, Kimi K3 is more expensive than Phi-4-multimodal-instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K3 has 2794.4B more parameters than Phi-4-multimodal-instruct, making it 49900.0% larger.
Context Window
Maximum input and output token capacity
Kimi K3 accepts 1,048,576 input tokens compared to Phi-4-multimodal-instruct's 128,000 tokens. Kimi K3 can generate longer responses up to 1,048,576 tokens, while Phi-4-multimodal-instruct is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Both Kimi K3 and Phi-4-multimodal-instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi K3
Phi-4-multimodal-instruct
Release Timeline
When each model was launched
Kimi K3 was released on 2026-07-16, while Phi-4-multimodal-instruct was released on 2025-02-01.
Kimi K3 is 18 months newer than Phi-4-multimodal-instruct.
Jul 16, 2026
3 days ago
1.5yr newerFeb 1, 2025
1.5 years ago
Knowledge Cutoff
When training data ends
Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while Kimi K3'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 K3's cutoff date.
—
Jun 2024
Provider Availability
Kimi K3 is available from Moonshot AI. Phi-4-multimodal-instruct is available from DeepInfra.
Kimi K3
Phi-4-multimodal-instruct
Outputs Comparison
Key Takeaways
Kimi K3
View detailsMoonshot AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Kimi K3 and Phi-4-multimodal-instruct side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Kimi K3 vs Phi-4-multimodal-instruct.