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Kimi K2 Instruct vs Phi 4 Reasoning

Kimi K2 Instruct leads the LLM Stats Score 21.9 to 12.0.

Moonshot AI · Microsoft · Updated for 2026

Which is better?

Kimi K2 Instruct leads the overall LLM Stats Score 21.9 to 12.0, ranking #181 overall.

In the 5 individual benchmarks reported for both models, Kimi K2 Instruct wins 3; 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 K2 Instruct

  • overall performance matters — it scores 21.9 and ranks #181 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 5 exact shared results
  • you want the most recent training data — it shipped Jul 2025

Choose Phi 4 Reasoning

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

Core performance indexes
21.9
#181
12.0
#253
22.0
#171
12.6
#242
12.4
#146
6.4
#189
Cost, coverage & limits
Benchmark wins
3 of 5
2 of 5
Input price
$0.50 / M
— / M
Output price
$0.50 / M
— / M
Context window
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Kimi K2 Instruct
Phi 4 Reasoning
22.2#141
13.6#226
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

38 reported for Kimi K2 Instruct · 11 for Phi 4 Reasoning

5 shared

Kimi K2 Instruct outperforms in 3 benchmarks (GPQA, IFEval, MMLU-Pro), while Phi 4 Reasoning is better at 2 benchmarks (AIME 2024, AIME 2025).

Kimi K2 Instruct has a slight edge in benchmark performance.

Sun Sep 13 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

986.0B diff

Kimi K2 Instruct has 986.0B more parameters than Phi 4 Reasoning, making it 7042.9% larger.

Moonshot AI
Kimi K2 Instruct
1.0Tparameters
Microsoft
Phi 4 Reasoning
14.0Bparameters
1000.0B
Kimi K2 Instruct
14.0B
Phi 4 Reasoning

Context Window

Maximum input and output token capacity

Only Kimi K2 Instruct specifies input context (200,000 tokens). Only Kimi K2 Instruct specifies output context (200,000 tokens).

Moonshot AI
Kimi K2 Instruct
Input200,000 tokens
Output200,000 tokens
Microsoft
Phi 4 Reasoning
Input- tokens
Output- tokens
Sun Sep 13 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

Kimi K2 Instruct

MIT

Open weights

Phi 4 Reasoning

MIT

Open weights

Release Timeline

When each model was launched

Kimi K2 Instruct was released on 2025-07-11, while Phi 4 Reasoning was released on 2025-04-30.

Kimi K2 Instruct is 2 months newer than Phi 4 Reasoning.

Kimi K2 Instruct

Jul 11, 2025

1.2 years ago

2mo newer
Phi 4 Reasoning

Apr 30, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while Kimi K2 Instruct's cutoff date is not specified.

We can confirm Phi 4 Reasoning's training data extends to 2025-03-01, but cannot make a direct comparison without Kimi K2 Instruct's cutoff date.

Kimi K2 Instruct

Phi 4 Reasoning

Mar 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Kimi K2 Instruct and Phi 4 Reasoning side-by-side, then vote on the output you prefer.

Kimi K2 Instruct
✓ Preferred
Phi 4 Reasoning
Open in Playground

FAQ

Common questions about Kimi K2 Instruct vs Phi 4 Reasoning.

Which is better, Kimi K2 Instruct or Phi 4 Reasoning?

Kimi K2 Instruct leads the LLM Stats Score 21.9 to 12.0. Kimi K2 Instruct is made by Moonshot AI and Phi 4 Reasoning is made by Microsoft. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Kimi K2 Instruct compare to Phi 4 Reasoning in benchmarks?

Kimi K2 Instruct scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%. Phi 4 Reasoning scores FlenQA: 97.7%, HumanEval+: 92.9%, IFEval: 83.4%, OmniMath: 76.6%, AIME 2024: 75.3%.

What are the context window sizes for Kimi K2 Instruct and Phi 4 Reasoning?

Kimi K2 Instruct supports 200K tokens and Phi 4 Reasoning supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Kimi K2 Instruct and Phi 4 Reasoning?

Key differences include LLM Stats Score (21.9 vs 12.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2 Instruct and Phi 4 Reasoning?

Kimi K2 Instruct is developed by Moonshot AI and Phi 4 Reasoning is developed by Microsoft.