# DeepSeek-V3 vs Ministral 3B

> DeepSeek-V3 is the stronger model overall, scoring 39.2 to 25.6 on the Noometry Index. Ministral 3B costs 10× less per token, which makes it the better buy when DeepSeek-V3's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/deepseek-v3-vs-ministral-3b
- Last updated: 2026-10-10
- Shared benchmarks: 6

## Summary

- They share 6 benchmarks with published results for both. DeepSeek-V3 scores higher in 3 categories and Ministral 3B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where DeepSeek-V3 leads 37.5 to 10.4.
- The biggest single-benchmark swing is MATH Level 5: 75.5% for DeepSeek-V3 and 14.4% for Ministral 3B.
- Ministral 3B is cheaper at $0.04 / $0.04 per million input/output tokens, against $0.24 / $0.90 for DeepSeek-V3.
- DeepSeek-V3 accepts more context: 164K tokens versus 128K.

## Snapshot

| | DeepSeek-V3 | Ministral 3B |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 39.2 | 25.6 |
| Rank | 157 | 336 |
| Context | 164K | 128K |
| Input $/M | $0.24 | $0.04 |
| Output $/M | $0.90 | $0.04 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3: 41.9 (#99)
- Ministral 3B: —

| Benchmark | DeepSeek-V3 | Ministral 3B |
|---|---|---|
| Aider Polyglot | 55.1% | — |
| SciCode | 35.8% | — |
| WeirdML | 36.1% | — |
| BigCodeBench Instruct | 50% | — |
| LiveBench Coding | 70.9% | — |
| LMArena Coding | 1368 | — |
| BigCodeBench Complete | 62.2% | — |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73% | — |

## Agentic & Tool Use

- DeepSeek-V3: —
- Ministral 3B: —

| Benchmark | DeepSeek-V3 | Ministral 3B |
|---|---|---|
| METR Time Horizons | 49.6% | — |

## Reasoning

- DeepSeek-V3: 20.0 (#226)
- Ministral 3B: 17.7 (#278)

| Benchmark | DeepSeek-V3 | Ministral 3B |
|---|---|---|
| DTBench | 64.8% | 51.7% |
| LMCA | 15.5% | 5.5% |
| Epoch Capabilities Index | 135.95 | 118.08 |
| SimpleBench | 27.2% | — |
| Kagi LLM Benchmark | 52.3% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 65.8% | — |
| LMArena Hard Prompts | 1365 | — |
| LiveBench Data Analysis | 60.9% | — |
| BIG-Bench Hard | 87.5% | — |
| ForecastBench | 59.1 | — |
| HellaSwag | 88.9% | — |
| LiveBench | 66.9% | — |
| PIQA | 84.7% | — |
| WinoGrande | 85.2% | — |

## Math

- DeepSeek-V3: 30.4 (#208)
- Ministral 3B: 24.5 (#257)

| Benchmark | DeepSeek-V3 | Ministral 3B |
|---|---|---|
| MATH Level 5 | 75.5% | 14.4% |
| OTIS Mock AIME 2024-2025 | 37.8% | — |
| Omni-MATH | 40.3% | — |
| LiveBench Math | 73.5% | — |
| LMArena Math | 1373 | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |

## Knowledge

- DeepSeek-V3: 37.5 (#147)
- Ministral 3B: 10.4 (#297)

| Benchmark | DeepSeek-V3 | Ministral 3B |
|---|---|---|
| GPQA Diamond | 67.6% | 25.3% |
| Vectara Hallucination Rate | 6.1% | 7.3% |
| MMLU-Pro | 72.3% | — |
| Confabulations | 26.1% | — |
| GPQA (HELM) | 53.8% | — |
| LMArena Expert | 1352 | — |
| ARC (AI2) Challenge | 95.3% | — |
| MMLU | 87.2% | — |
| TriviaQA | 82.9% | — |

## Multilingual

- DeepSeek-V3: 48.8 (#138)
- Ministral 3B: —

| Benchmark | DeepSeek-V3 | Ministral 3B |
|---|---|---|
| LMArena Non-English | 1358 | — |
| LMArena Chinese | 1390 | — |
| LMArena French | 1386 | — |
| LMArena German | 1374 | — |
| LMArena Japanese | 1333 | — |
| LMArena Korean | 1321 | — |
| LMArena Russian | 1372 | — |
| LMArena Spanish | 1358 | — |

## Instruction Following

- DeepSeek-V3: 73.0 (#125)
- Ministral 3B: —

| Benchmark | DeepSeek-V3 | Ministral 3B |
|---|---|---|
| LiveBench Instruction Following | 81.5% | — |
| IFEval | 83.2% | — |
| LMArena Instruction Following | 1345 | — |

## Long Context

- DeepSeek-V3: 34.0 (#248)
- Ministral 3B: —

| Benchmark | DeepSeek-V3 | Ministral 3B |
|---|---|---|
| Fiction.LiveBench | 50% | — |
| LMArena Longer Query | 1353 | — |

## Writing & Preference

- DeepSeek-V3: 57.6 (#124)
- Ministral 3B: —

| Benchmark | DeepSeek-V3 | Ministral 3B |
|---|---|---|
| LMArena Text | 1375 | — |
| LMArena Creative Writing | 1364 | — |
| Short-Story Creative Writing | 77% | — |
| EQ-Bench Creative Writing | 1472 | — |
| WildBench | 83% | — |
| LMArena Multi-Turn | 1389 | — |
| LiveBench Language | 49.1% | — |

## FAQ

### Is DeepSeek-V3 better than Ministral 3B?

DeepSeek-V3 is the stronger model overall, scoring 39.2 to 25.6 on the Noometry Index. Ministral 3B costs 10× less per token, which makes it the better buy when DeepSeek-V3's lead doesn't matter for your workload.

### Which is cheaper, DeepSeek-V3 or Ministral 3B?

Ministral 3B is cheaper. It lists at $0.04 per million input tokens and $0.04 per million output tokens; DeepSeek-V3 lists at $0.24 and $0.90.

### Which has the bigger context window?

DeepSeek-V3 does, with 164K tokens against 128K.

### How many benchmarks do DeepSeek-V3 and Ministral 3B share?

6 benchmarks have published results for both models. DeepSeek-V3 has 60 scored results on Noometry and Ministral 3B has 6.