# DeepSeek LLM 67B vs Phi-4

> Phi-4 is the stronger model overall, scoring 30.9 to 24.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-phi-4
- Last updated: 2026-10-10
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Phi-4 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Phi-4 leads 32.5 to 7.1.
- The biggest single-benchmark swing is MATH Level 5: 6.4% for DeepSeek LLM 67B and 64.9% for Phi-4.

## Snapshot

| | DeepSeek LLM 67B | Phi-4 |
|---|---|---|
| Provider | DeepSeek | Microsoft |
| Noometry Index | 24.8 | 30.9 |
| Rank | 341 | 269 |
| Context | — | 128K |
| Input $/M | — | $0.07 |
| Output $/M | — | $0.14 |
| Weights | Open | Open |

## Coding

- DeepSeek LLM 67B: 31.3 (#273)
- Phi-4: 33.8 (#237)

| Benchmark | DeepSeek LLM 67B | Phi-4 |
|---|---|---|
| LMArena Coding | 1096 | 1231 |
| BigCodeBench Instruct | — | 45.5% |
| LiveBench Coding | — | 30.7% |
| BigCodeBench Complete | — | 55.4% |

## Agentic & Tool Use

- DeepSeek LLM 67B: —
- Phi-4: 22.6 (#120)

| Benchmark | DeepSeek LLM 67B | Phi-4 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.8% |
| BALROG | — | 11.6% |

## Reasoning

- DeepSeek LLM 67B: 15.9 (#300)
- Phi-4: 17.0 (#287)

| Benchmark | DeepSeek LLM 67B | Phi-4 |
|---|---|---|
| Chess Puzzles | 0% | 1% |
| LMArena Hard Prompts | 1070 | 1220 |
| Epoch Capabilities Index | 110.54 | 130.43 |
| LiveBench Reasoning | — | 47.8% |
| LiveBench Data Analysis | — | 45.2% |
| LiveBench | — | 41.6% |

## Math

- DeepSeek LLM 67B: 8.1 (#318)
- Phi-4: 19.6 (#279)

| Benchmark | DeepSeek LLM 67B | Phi-4 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 13.8% |
| LMArena Math | 1108 | 1246 |
| MATH Level 5 | 6.4% | 64.9% |
| LiveBench Math | — | 42% |

## Knowledge

- DeepSeek LLM 67B: 7.1 (#308)
- Phi-4: 32.5 (#204)

| Benchmark | DeepSeek LLM 67B | Phi-4 |
|---|---|---|
| GPQA Diamond | 24.6% | 56.1% |
| Confabulations | — | 29.4% |
| Vectara Hallucination Rate | — | 3.7% |
| LMArena Expert | — | 1203 |
| MMLU | — | 84.8% |

## Multilingual

- DeepSeek LLM 67B: 29.5 (#262)
- Phi-4: 37.4 (#232)

| Benchmark | DeepSeek LLM 67B | Phi-4 |
|---|---|---|
| LMArena Non-English | 1073 | 1197 |
| LMArena Chinese | 1132 | 1211 |
| LMArena French | — | 1223 |
| LMArena German | — | 1222 |
| LMArena Japanese | — | 1158 |
| LMArena Korean | — | 1151 |
| LMArena Russian | — | 1209 |
| LMArena Spanish | — | 1234 |

## Instruction Following

- DeepSeek LLM 67B: 55.7 (#272)
- Phi-4: 60.6 (#246)

| Benchmark | DeepSeek LLM 67B | Phi-4 |
|---|---|---|
| LMArena Instruction Following | 1079 | 1201 |
| LiveBench Instruction Following | — | 58.4% |

## Long Context

- DeepSeek LLM 67B: 33.1 (#260)
- Phi-4: 36.9 (#221)

| Benchmark | DeepSeek LLM 67B | Phi-4 |
|---|---|---|
| LMArena Longer Query | 1092 | 1217 |

## Writing & Preference

- DeepSeek LLM 67B: 31.8 (#277)
- Phi-4: 40.7 (#239)

| Benchmark | DeepSeek LLM 67B | Phi-4 |
|---|---|---|
| LMArena Text | 1105 | 1217 |
| LMArena Creative Writing | 1067 | 1182 |
| LMArena Multi-Turn | 1082 | 1206 |
| Short-Story Creative Writing | — | 62.6% |
| LiveBench Language | — | 25.6% |

## FAQ

### Is DeepSeek LLM 67B better than Phi-4?

Phi-4 is the stronger model overall, scoring 30.9 to 24.8 on the Noometry Index.

### Is DeepSeek LLM 67B or Phi-4 better for coding?

Phi-4 scores higher on coding benchmarks: 33.8 versus 31.3 in the Noometry coding category.

### How many benchmarks do DeepSeek LLM 67B and Phi-4 share?

15 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Phi-4 has 37.