# Kimi K2 (Jul 2025) vs Phi-4

> Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 31.2 on the Noometry Index. Phi-4 costs 11× less per token, which makes it the better buy when Kimi K2 (Jul 2025)'s lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/kimi-k2-vs-phi-4
- Last updated: 2026-10-11
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Kimi K2 (Jul 2025) scores higher in 9 categories and Phi-4 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2 (Jul 2025) leads 42.7 to 20.8.
- The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 59.1% for Kimi K2 (Jul 2025) and 28.8% for Phi-4.
- Phi-4 is cheaper at $0.07 / $0.14 per million input/output tokens, against $0.57 / $2.30 for Kimi K2 (Jul 2025).
- Kimi K2 (Jul 2025) accepts more context: 262K tokens versus 128K.

## Snapshot

| | Kimi K2 (Jul 2025) | Phi-4 |
|---|---|---|
| Provider | Moonshot AI | Microsoft |
| Noometry Index | 41.2 | 31.2 |
| Rank | 140 | 279 |
| Context | 262K | 128K |
| Input $/M | $0.57 | $0.07 |
| Output $/M | $2.30 | $0.14 |
| Weights | Open | Open |

## Coding

- Kimi K2 (Jul 2025): 42.4 (#102)
- Phi-4: 34.4 (#239)

| Benchmark | Kimi K2 (Jul 2025) | Phi-4 |
|---|---|---|
| LMArena Coding | 1399 | 1231 |
| SWE-bench Verified (bash only) | 63.4% | — |
| Aider Polyglot | 59.1% | — |
| GSO | 4.9% | — |
| WeirdML | 42.8% | — |
| BigCodeBench Instruct | — | 45.5% |
| LiveBench Coding | — | 30.7% |
| BigCodeBench Complete | — | 55.4% |
| ALE-Bench | 597.5 | — |

## Agentic & Tool Use

- Kimi K2 (Jul 2025): 32.4 (#64)
- Phi-4: 22.8 (#128)

| Benchmark | Kimi K2 (Jul 2025) | Phi-4 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 59.1% | 28.8% |
| Terminal-Bench | 35.7% | — |
| BALROG | — | 11.6% |
| METR Time Horizons | 59.2% | — |

## Reasoning

- Kimi K2 (Jul 2025): 23.3 (#179)
- Phi-4: 17.7 (#291)

| Benchmark | Kimi K2 (Jul 2025) | Phi-4 |
|---|---|---|
| LMArena Hard Prompts | 1384 | 1220 |
| Epoch Capabilities Index | 146.01 | 130.42 |
| SimpleBench | 26.3% | — |
| Kagi LLM Benchmark | 64.4% | — |
| Chess Puzzles | — | 1% |
| LiveBench Reasoning | — | 47.8% |
| LiveBench Data Analysis | — | 45.2% |
| ForecastBench | 60.2 | — |
| LiveBench | — | 41.6% |

## Math

- Kimi K2 (Jul 2025): 42.7 (#83)
- Phi-4: 20.8 (#285)

| Benchmark | Kimi K2 (Jul 2025) | Phi-4 |
|---|---|---|
| LMArena Math | 1397 | 1246 |
| OTIS Mock AIME 2024-2025 | — | 13.8% |
| Omni-MATH | 65.4% | — |
| LiveBench Math | — | 42% |
| MATH Level 5 | — | 64.9% |
| FrontierMath (Feb 2025 set) | 21.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- Kimi K2 (Jul 2025): 37.3 (#157)
- Phi-4: 32.6 (#209)

| Benchmark | Kimi K2 (Jul 2025) | Phi-4 |
|---|---|---|
| Confabulations | 20.4% | 29.4% |
| Vectara Hallucination Rate | 17.9% | 3.7% |
| LMArena Expert | 1365 | 1203 |
| GPQA Diamond | — | 56.1% |
| MMLU-Pro | 81.9% | — |
| GPQA (HELM) | 65.3% | — |
| MMLU | — | 84.8% |

## Multilingual

- Kimi K2 (Jul 2025): 49.6 (#130)
- Phi-4: 37.2 (#237)

| Benchmark | Kimi K2 (Jul 2025) | Phi-4 |
|---|---|---|
| LMArena Non-English | 1372 | 1197 |
| LMArena Chinese | 1415 | 1212 |
| LMArena French | 1379 | 1224 |
| LMArena German | 1387 | 1222 |
| LMArena Japanese | 1349 | 1158 |
| LMArena Korean | 1325 | 1151 |
| LMArena Russian | 1385 | 1209 |
| LMArena Spanish | 1386 | 1234 |

## Instruction Following

- Kimi K2 (Jul 2025): 71.1 (#156)
- Phi-4: 60.4 (#251)

| Benchmark | Kimi K2 (Jul 2025) | Phi-4 |
|---|---|---|
| LMArena Instruction Following | 1348 | 1201 |
| LiveBench Instruction Following | — | 58.4% |
| IFEval | 85% | — |

## Long Context

- Kimi K2 (Jul 2025): 41.2 (#145)
- Phi-4: 36.9 (#226)

| Benchmark | Kimi K2 (Jul 2025) | Phi-4 |
|---|---|---|
| LMArena Longer Query | 1353 | 1217 |
| Fiction.LiveBench | 66.7% | — |
| CL-bench | 17.6% | — |

## Writing & Preference

- Kimi K2 (Jul 2025): 62.3 (#78)
- Phi-4: 40.5 (#244)

| Benchmark | Kimi K2 (Jul 2025) | Phi-4 |
|---|---|---|
| LMArena Text | 1380 | 1217 |
| LMArena Creative Writing | 1350 | 1182 |
| Short-Story Creative Writing | 85.6% | 62.6% |
| LMArena Multi-Turn | 1371 | 1206 |
| EQ-Bench Creative Writing | 1666 | — |
| WildBench | 86.2% | — |
| LiveBench Language | — | 25.6% |

## FAQ

### Is Kimi K2 (Jul 2025) better than Phi-4?

Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 31.2 on the Noometry Index. Phi-4 costs 11× less per token, which makes it the better buy when Kimi K2 (Jul 2025)'s lead doesn't matter for your workload.

### Which is cheaper, Kimi K2 (Jul 2025) or Phi-4?

Phi-4 is cheaper. It lists at $0.07 per million input tokens and $0.14 per million output tokens; Kimi K2 (Jul 2025) lists at $0.57 and $2.30.

### Is Kimi K2 (Jul 2025) or Phi-4 better for coding?

Kimi K2 (Jul 2025) scores higher on coding benchmarks: 42.4 versus 34.4 in the Noometry coding category.

### Which has the bigger context window?

Kimi K2 (Jul 2025) does, with 262K tokens against 128K.

### How many benchmarks do Kimi K2 (Jul 2025) and Phi-4 share?

22 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Phi-4 has 37.