# Kimi K2.7 Code vs Phi-4 Mini

> Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 30.4 on the Noometry Index. Phi-4 Mini costs 13× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/kimi-k2-7-code-vs-phi-4-mini
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Kimi K2.7 Code scores higher in 3 categories and Phi-4 Mini in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.7 Code leads 53.6 to 24.8.
- The biggest single-benchmark swing is SciCode: 47.5% for Kimi K2.7 Code and 10.8% for Phi-4 Mini.
- Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Kimi K2.7 Code accepts more context: 262K tokens versus 128K.

## Snapshot

| | Kimi K2.7 Code | Phi-4 Mini |
|---|---|---|
| Provider | Moonshot AI | Microsoft |
| Noometry Index | 43.0 | 30.4 |
| Rank | 90 | 280 |
| Context | 262K | 128K |
| Input $/M | $0.95 | $0.075 |
| Output $/M | $4 | $0.30 |
| Weights | Open | Open |

## Coding

- Kimi K2.7 Code: 42.4 (#92)
- Phi-4 Mini: 27.6 (#312)

| Benchmark | Kimi K2.7 Code | Phi-4 Mini |
|---|---|---|
| SciCode | 47.5% | 10.8% |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| WeirdML | 54.1% | — |
| ALE-Bench | 886.23 | — |

## Agentic & Tool Use

- Kimi K2.7 Code: 23.9 (#115)
- Phi-4 Mini: —

| Benchmark | Kimi K2.7 Code | Phi-4 Mini |
|---|---|---|
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |

## Reasoning

- Kimi K2.7 Code: 38.2 (#56)
- Phi-4 Mini: 21.7 (#190)

| Benchmark | Kimi K2.7 Code | Phi-4 Mini |
|---|---|---|
| CritPt | 10% | 0% |
| SimpleBench | 57.9% | — |
| Chess Puzzles | 21% | — |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 150.01 | — |

## Math

- Kimi K2.7 Code: 52.6 (#39)
- Phi-4 Mini: —

| Benchmark | Kimi K2.7 Code | Phi-4 Mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |

## Knowledge

- Kimi K2.7 Code: 53.6 (#51)
- Phi-4 Mini: 24.8 (#261)

| Benchmark | Kimi K2.7 Code | Phi-4 Mini |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
| Vectara Hallucination Rate | — | 23.5% |

## FAQ

### Is Kimi K2.7 Code better than Phi-4 Mini?

Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 30.4 on the Noometry Index. Phi-4 Mini costs 13× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

### Which is cheaper, Kimi K2.7 Code or Phi-4 Mini?

Phi-4 Mini is cheaper. It lists at $0.075 per million input tokens and $0.30 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

### Is Kimi K2.7 Code or Phi-4 Mini better for coding?

Kimi K2.7 Code scores higher on coding benchmarks: 42.4 versus 27.6 in the Noometry coding category.

### Which has the bigger context window?

Kimi K2.7 Code does, with 262K tokens against 128K.

### How many benchmarks do Kimi K2.7 Code and Phi-4 Mini share?

2 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Phi-4 Mini has 3.