# DeepSeek-V3.2-Speciale vs Phi-4

> DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 30.9 on the Noometry Index. Phi-4 costs 9.8× less per token, which makes it the better buy when DeepSeek-V3.2-Speciale's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/deepseek-v3-2-speciale-vs-phi-4
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.1 to 17.0.
- Phi-4 is cheaper at $0.07 / $0.14 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.

## Snapshot

| | DeepSeek-V3.2-Speciale | Phi-4 |
|---|---|---|
| Provider | DeepSeek | Microsoft |
| Noometry Index | 39.1 | 30.9 |
| Rank | 159 | 269 |
| Context | 128K | 128K |
| Input $/M | $0.58 | $0.07 |
| Output $/M | $1.68 | $0.14 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.2-Speciale: 39.9 (#136)
- Phi-4: 33.8 (#237)

| Benchmark | DeepSeek-V3.2-Speciale | Phi-4 |
|---|---|---|
| WeirdML | 46.7% | — |
| BigCodeBench Instruct | — | 45.5% |
| LiveBench Coding | — | 30.7% |
| LMArena Coding | — | 1231 |
| BigCodeBench Complete | — | 55.4% |

## Agentic & Tool Use

- DeepSeek-V3.2-Speciale: —
- Phi-4: 22.6 (#120)

| Benchmark | DeepSeek-V3.2-Speciale | Phi-4 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.8% |
| BALROG | — | 11.6% |

## Reasoning

- DeepSeek-V3.2-Speciale: 32.1 (#65)
- Phi-4: 17.0 (#287)

| Benchmark | DeepSeek-V3.2-Speciale | Phi-4 |
|---|---|---|
| SimpleBench | 52.6% | — |
| Chess Puzzles | — | 1% |
| LiveBench Reasoning | — | 47.8% |
| LMArena Hard Prompts | — | 1220 |
| LiveBench Data Analysis | — | 45.2% |
| Epoch Capabilities Index | — | 130.43 |
| LiveBench | — | 41.6% |

## Math

- DeepSeek-V3.2-Speciale: —
- Phi-4: 19.6 (#279)

| Benchmark | DeepSeek-V3.2-Speciale | Phi-4 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 13.8% |
| LiveBench Math | — | 42% |
| LMArena Math | — | 1246 |
| MATH Level 5 | — | 64.9% |

## Knowledge

- DeepSeek-V3.2-Speciale: —
- Phi-4: 32.5 (#204)

| Benchmark | DeepSeek-V3.2-Speciale | Phi-4 |
|---|---|---|
| GPQA Diamond | — | 56.1% |
| Confabulations | — | 29.4% |
| Vectara Hallucination Rate | — | 3.7% |
| LMArena Expert | — | 1203 |
| MMLU | — | 84.8% |

## Multilingual

- DeepSeek-V3.2-Speciale: —
- Phi-4: 37.4 (#232)

| Benchmark | DeepSeek-V3.2-Speciale | Phi-4 |
|---|---|---|
| LMArena Non-English | — | 1197 |
| LMArena Chinese | — | 1211 |
| LMArena French | — | 1223 |
| LMArena German | — | 1222 |
| LMArena Japanese | — | 1158 |
| LMArena Korean | — | 1151 |
| LMArena Russian | — | 1209 |
| LMArena Spanish | — | 1234 |

## Instruction Following

- DeepSeek-V3.2-Speciale: —
- Phi-4: 60.6 (#246)

| Benchmark | DeepSeek-V3.2-Speciale | Phi-4 |
|---|---|---|
| LiveBench Instruction Following | — | 58.4% |
| LMArena Instruction Following | — | 1201 |

## Long Context

- DeepSeek-V3.2-Speciale: —
- Phi-4: 36.9 (#221)

| Benchmark | DeepSeek-V3.2-Speciale | Phi-4 |
|---|---|---|
| LMArena Longer Query | — | 1217 |

## Writing & Preference

- DeepSeek-V3.2-Speciale: 46.1 (#217)
- Phi-4: 40.7 (#239)

| Benchmark | DeepSeek-V3.2-Speciale | Phi-4 |
|---|---|---|
| LMArena Text | — | 1217 |
| LMArena Creative Writing | — | 1182 |
| Short-Story Creative Writing | — | 62.6% |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1206 |
| LiveBench Language | — | 25.6% |

## FAQ

### Is DeepSeek-V3.2-Speciale better than Phi-4?

DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 30.9 on the Noometry Index. Phi-4 costs 9.8× less per token, which makes it the better buy when DeepSeek-V3.2-Speciale's lead doesn't matter for your workload.

### Which is cheaper, DeepSeek-V3.2-Speciale or Phi-4?

Phi-4 is cheaper. It lists at $0.07 per million input tokens and $0.14 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.

### Is DeepSeek-V3.2-Speciale or Phi-4 better for coding?

DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 39.9 versus 33.8 in the Noometry coding category.

### Which has the bigger context window?

Both accept 128K tokens.

### How many benchmarks do DeepSeek-V3.2-Speciale and Phi-4 share?

0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Phi-4 has 37.