Model Comparison

Kimi K3 vs Phi 4Which is better in 2026?

Kimi K3 significantly outperforms across most benchmarks. Phi 4 is 68.6x cheaper per token.

Verdict: Kimi K3 vs Phi 4 — which is better?

Kimi K3 (by Moonshot AI) and Phi 4 (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 (GPQA), while Phi 4 is better at 0 benchmarks. Kimi K3 significantly outperforms across most benchmarks.

On price, Phi 4 is roughly 68.6x 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 if…

  • cost matters — it's about 68.6x cheaper per token
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Kimi K3 outperforms in 1 benchmarks (GPQA), while Phi 4 is better at 0 benchmarks.

Kimi K3 significantly outperforms across most benchmarks.

Sat Jul 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi 4 costs less

For input processing, Kimi K3 ($3.00/1M tokens) is 42.9x more expensive than Phi 4 ($0.07/1M tokens).

For output processing, Kimi K3 ($15.00/1M tokens) is 107.1x more expensive than Phi 4 ($0.14/1M tokens).

In conclusion, Kimi K3 is more expensive than Phi 4.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Jul 18 2026 • llm-stats.com
Moonshot AI
Kimi K3
Input tokens$3.00
Output tokens$15.00
Best providerUnknown Organization
Microsoft
Phi 4
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

2785.3B diff

Kimi K3 has 2785.3B more parameters than Phi 4, making it 18947.6% larger.

Moonshot AI
Kimi K3
2.8Tparameters
Microsoft
Phi 4
14.7Bparameters
2800.0B
Kimi K3
14.7B
Phi 4

Context Window

Maximum input and output token capacity

Kimi K3 accepts 1,048,576 input tokens compared to Phi 4's 16,000 tokens. Kimi K3 can generate longer responses up to 1,048,576 tokens, while Phi 4 is limited to 16,000 tokens.

Moonshot AI
Kimi K3
Input1,048,576 tokens
Output1,048,576 tokens
Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi K3 supports multimodal inputs, whereas Phi 4 does not.

Kimi K3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi K3

Text
Images
Audio
Video

Phi 4

Text
Images
Audio
Video

Release Timeline

When each model was launched

Kimi K3 was released on 2026-07-16, while Phi 4 was released on 2024-12-12.

Kimi K3 is 19 months newer than Phi 4.

Kimi K3

Jul 16, 2026

2 days ago

1.6yr newer
Phi 4

Dec 12, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Phi 4 has a documented knowledge cutoff of 2024-06-01, while Kimi K3'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's cutoff date.

Kimi K3

Phi 4

Jun 2024

Provider Availability

Kimi K3 is available from Moonshot AI. Phi 4 is available from DeepInfra.

Kimi K3

moonshot logo
Unknown Organization
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

Phi 4

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.14/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (93.5% vs 56.1%)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Kimi K3 and Phi 4 side-by-side, then vote on the output you prefer.

Kimi K3
✓ Preferred
Phi 4
Open in Playground
AI Model Comparison Table
Feature
Moonshot AI
Kimi K3
Microsoft
Phi 4

FAQ

Common questions about Kimi K3 vs Phi 4.

Which is better, Kimi K3 or Phi 4?

Kimi K3 significantly outperforms across most benchmarks. Kimi K3 is made by Moonshot AI and Phi 4 is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Kimi K3 compare to Phi 4 in benchmarks?

Kimi K3 scores MathVision: 97.8%, DeepSearchQA: 95.0%, GPQA: 93.5%, CharXiv-R: 91.3%, BrowseComp: 91.2%. Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.

Is Kimi K3 cheaper than Phi 4?

Phi 4 is 42.9x cheaper for input tokens. Kimi K3 costs $3.00/M input and $15.00/M output via moonshot. Phi 4 costs $0.07/M input and $0.14/M output via deepinfra.

What are the context window sizes for Kimi K3 and Phi 4?

Kimi K3 supports 1.0M tokens and Phi 4 supports 16K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Kimi K3 and Phi 4?

Key differences include context window (1.0M vs 16K), input pricing ($3.00 vs $0.07/M), multimodal support (yes vs no), licensing (Unknown vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K3 and Phi 4?

Kimi K3 is developed by Moonshot AI and Phi 4 is developed by Microsoft.