Kimi K3.1 Pro vs Phi 4
Kimi K3.1 Pro leads the LLM Stats Score 55.5 to 4.9. Phi 4 is 45.7x cheaper per token.
Moonshot AI · Microsoft · Updated for 2026
Which is better?
Kimi K3.1 Pro leads the overall LLM Stats Score 55.5 to 4.9, ranking #5 overall.
In the 1 individual benchmarks reported for both models, Kimi K3.1 Pro wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Phi 4 is roughly 45.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K3.1 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Kimi K3.1 Pro
- overall performance matters — it scores 55.5 and ranks #5 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Phi 4
- cost matters — it's about 45.7x cheaper per token
- 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
30 reported for Kimi K3.1 Pro · 13 for Phi 4
Kimi K3.1 Pro outperforms in 1 benchmarks (GPQA), while Phi 4 is better at 0 benchmarks.
Kimi K3.1 Pro significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K3.1 Pro ($2.00/1M tokens) is 28.6x more expensive than Phi 4 ($0.07/1M tokens).
For output processing, Kimi K3.1 Pro ($10.00/1M tokens) is 71.4x more expensive than Phi 4 ($0.14/1M tokens).
In conclusion, Kimi K3.1 Pro is more expensive than Phi 4.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Kimi K3.1 Pro accepts 1,048,576 input tokens compared to Phi 4's 16,384 tokens. Kimi K3.1 Pro can generate longer responses up to 1,048,576 tokens, while Phi 4 is limited to 16,384 tokens.
Input capabilities
Documented input modalities across available providers
Kimi K3.1 Pro supports multimodal inputs, whereas Phi 4 does not.
Kimi K3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Kimi K3.1 Pro
Phi 4
Release Timeline
When each model was launched
Kimi K3.1 Pro was released on 2026-10-23, while Phi 4 was released on 2024-12-12.
Kimi K3.1 Pro is 23 months newer than Phi 4.
Oct 23, 2026
1 weeks ago
1.9yr newerDec 12, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Phi 4 has a documented knowledge cutoff of 2024-06-01, while Kimi K3.1 Pro'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 K3.1 Pro's cutoff date.
—
Jun 2024
Provider Availability
Kimi K3.1 Pro is available from Moonshot AI. Phi 4 is available from DeepInfra.
Kimi K3.1 Pro
Phi 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi K3.1 Pro and Phi 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K3.1 Pro vs Phi 4.