Kimi K2 0905 vs Phi 4
Kimi K2 0905 significantly outperforms across most benchmarks. Phi 4 is 12.3x cheaper per token.
Moonshot AI · Microsoft · Updated for 2026
Which is better?
Kimi K2 0905 outperforms in 5 benchmarks (GPQA, HumanEval, MATH, MMLU, MMLU-Pro), while Phi 4 is better at 0 benchmarks. Kimi K2 0905 significantly outperforms across most benchmarks.
On price, Phi 4 is roughly 12.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K2 0905 also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Kimi K2 0905
- you want the strongest raw capability — it leads on 5 of 5 shared benchmarks
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Sep 2025
Choose Phi 4
- cost matters — it's about 12.3x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K2 0905 outperforms in 5 benchmarks (GPQA, HumanEval, MATH, MMLU, MMLU-Pro), while Phi 4 is better at 0 benchmarks.
Kimi K2 0905 significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K2 0905 ($0.60/1M tokens) is 8.6x more expensive than Phi 4 ($0.07/1M tokens).
For output processing, Kimi K2 0905 ($2.50/1M tokens) is 17.9x more expensive than Phi 4 ($0.14/1M tokens).
In conclusion, Kimi K2 0905 is more expensive than Phi 4.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K2 0905 has 985.3B more parameters than Phi 4, making it 6702.7% larger.
Context Window
Maximum input and output token capacity
Kimi K2 0905 accepts 262,144 input tokens compared to Phi 4's 16,000 tokens. Kimi K2 0905 can generate longer responses up to 262,144 tokens, while Phi 4 is limited to 16,000 tokens.
License
Usage and distribution terms
Kimi K2 0905 is licensed under a proprietary license, while Phi 4 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 K2 0905 was released on 2025-09-05, while Phi 4 was released on 2024-12-12.
Kimi K2 0905 is 9 months newer than Phi 4.
Sep 5, 2025
11 months ago
8mo newerDec 12, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
Phi 4 has a documented knowledge cutoff of 2024-06-01, while Kimi K2 0905's cutoff date is not specified.
We can confirm Phi 4's training data extends to 2024-06-01, but cannot make a direct comparison without Kimi K2 0905's cutoff date.
—
Jun 2024
Provider Availability
Kimi K2 0905 is available from Novita. Phi 4 is available from DeepInfra.
Kimi K2 0905
Phi 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi K2 0905 and Phi 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K2 0905 vs Phi 4.