# DeepSeek V4.1 Flash vs Hunyuan Standard 2025 02 10

> DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 37.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v4-1-flash-vs-hunyuan-standard
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Hunyuan Standard 2025 02 10 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 35.6.
- DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek V4.1 Flash | Hunyuan Standard 2025 02 10 |
|---|---|---|
| Provider | DeepSeek | Tencent |
| Noometry Index | 52.8 | 37.9 |
| Rank | 38 | 193 |
| Context | 1M | — |
| Input $/M | $0.15 | — |
| Output $/M | $0.60 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek V4.1 Flash: 52.9 (#32)
- Hunyuan Standard 2025 02 10: 37.1 (#197)

| Benchmark | DeepSeek V4.1 Flash | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Coding | 1506 | 1270 |
| LMArena WebDev | 1619 | — |
| SciCode | 51.9% | — |
| ALE-Bench | 1,092 | — |

## Agentic & Tool Use

- DeepSeek V4.1 Flash: 31.2 (#69)
- Hunyuan Standard 2025 02 10: —

| Benchmark | DeepSeek V4.1 Flash | Hunyuan Standard 2025 02 10 |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |

## Reasoning

- DeepSeek V4.1 Flash: 50.2 (#36)
- Hunyuan Standard 2025 02 10: 25.0 (#154)

| Benchmark | DeepSeek V4.1 Flash | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Hard Prompts | 1483 | 1264 |
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| Epoch Capabilities Index | 154.9 | — |

## Math

- DeepSeek V4.1 Flash: 66.7 (#25)
- Hunyuan Standard 2025 02 10: 35.6 (#179)

| Benchmark | DeepSeek V4.1 Flash | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Math | 1477 | 1274 |
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 54% | — |

## Knowledge

- DeepSeek V4.1 Flash: 57.9 (#38)
- Hunyuan Standard 2025 02 10: 34.2 (#197)

| Benchmark | DeepSeek V4.1 Flash | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Expert | 1506 | 1248 |
| GPQA Diamond | 89.8% | — |

## Multimodal

- DeepSeek V4.1 Flash: 39.1 (#61)
- Hunyuan Standard 2025 02 10: —

| Benchmark | DeepSeek V4.1 Flash | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |

## Multilingual

- DeepSeek V4.1 Flash: 55.0 (#35)
- Hunyuan Standard 2025 02 10: 41.7 (#203)

| Benchmark | DeepSeek V4.1 Flash | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Non-English | 1448 | 1262 |
| LMArena Chinese | 1497 | 1319 |
| LMArena Russian | 1471 | 1258 |
| LMArena French | 1452 | — |
| LMArena German | 1484 | — |
| LMArena Japanese | 1412 | — |
| LMArena Korean | 1452 | — |
| LMArena Spanish | 1459 | — |

## Instruction Following

- DeepSeek V4.1 Flash: 77.3 (#26)
- Hunyuan Standard 2025 02 10: 65.5 (#219)

| Benchmark | DeepSeek V4.1 Flash | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Instruction Following | 1474 | 1245 |

## Long Context

- DeepSeek V4.1 Flash: 45.2 (#47)
- Hunyuan Standard 2025 02 10: 39.5 (#173)

| Benchmark | DeepSeek V4.1 Flash | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Longer Query | 1475 | 1301 |

## Writing & Preference

- DeepSeek V4.1 Flash: 65.4 (#48)
- Hunyuan Standard 2025 02 10: 47.2 (#214)

| Benchmark | DeepSeek V4.1 Flash | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Text | 1462 | 1274 |
| LMArena Creative Writing | 1435 | 1242 |
| LMArena Multi-Turn | 1457 | 1275 |
| EQ-Bench Creative Writing | 1540 | — |

## FAQ

### Is DeepSeek V4.1 Flash better than Hunyuan Standard 2025 02 10?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 37.9 on the Noometry Index.

### Is DeepSeek V4.1 Flash or Hunyuan Standard 2025 02 10 better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 37.1 in the Noometry coding category.

### How many benchmarks do DeepSeek V4.1 Flash and Hunyuan Standard 2025 02 10 share?

12 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Hunyuan Standard 2025 02 10 has 12.
