# DeepSeek-V3.1 vs Longcat Flash Chat

> DeepSeek-V3.1 and Longcat Flash Chat score almost the same on the Noometry Index (42.8 vs 42.1), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-vs-longcat-flash-chat
- Last updated: 2026-10-11
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 2 categories and Longcat Flash Chat in 6 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.1 leads 27.9 to 19.0.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 53.2% for DeepSeek-V3.1 and 43.9% for Longcat Flash Chat.

## Snapshot

| | DeepSeek-V3.1 | Longcat Flash Chat |
|---|---|---|
| Provider | DeepSeek | Meituan |
| Noometry Index | 42.8 | 42.1 |
| Rank | 108 | 120 |
| Context | 164K | — |
| Input $/M | $0.25 | — |
| Output $/M | $0.95 | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.1: 40.3 (#144)
- Longcat Flash Chat: 43.5 (#87)

| Benchmark | DeepSeek-V3.1 | Longcat Flash Chat |
|---|---|---|
| LMArena Coding | 1417 | 1471 |
| WeirdML | 38.4% | — |

## Reasoning

- DeepSeek-V3.1: 27.9 (#110)
- Longcat Flash Chat: 19.0 (#272)

| Benchmark | DeepSeek-V3.1 | Longcat Flash Chat |
|---|---|---|
| Kagi LLM Benchmark | 53.2% | 43.9% |
| LMArena Hard Prompts | 1417 | 1440 |
| SimpleBench | 40% | — |
| NYT Connections (extended) | — | 17.7% |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| Epoch Capabilities Index | 139.92 | — |
| ForecastBench | 58 | — |

## Math

- DeepSeek-V3.1: 38.9 (#122)
- Longcat Flash Chat: 39.4 (#107)

| Benchmark | DeepSeek-V3.1 | Longcat Flash Chat |
|---|---|---|
| LMArena Math | 1420 | 1442 |

## Knowledge

- DeepSeek-V3.1: 43.7 (#90)
- Longcat Flash Chat: 40.6 (#116)

| Benchmark | DeepSeek-V3.1 | Longcat Flash Chat |
|---|---|---|
| LMArena Expert | 1405 | 1454 |
| Vectara Hallucination Rate | 5.5% | — |

## Multilingual

- DeepSeek-V3.1: 51.6 (#106)
- Longcat Flash Chat: 51.9 (#101)

| Benchmark | DeepSeek-V3.1 | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | 1400 | 1404 |
| LMArena Chinese | 1469 | 1465 |
| LMArena French | 1447 | 1456 |
| LMArena German | 1411 | 1408 |
| LMArena Japanese | 1378 | 1373 |
| LMArena Korean | 1337 | 1371 |
| LMArena Russian | 1405 | 1395 |
| LMArena Spanish | 1431 | 1445 |

## Instruction Following

- DeepSeek-V3.1: 73.9 (#110)
- Longcat Flash Chat: 74.4 (#96)

| Benchmark | DeepSeek-V3.1 | Longcat Flash Chat |
|---|---|---|
| LMArena Instruction Following | 1400 | 1411 |

## Long Context

- DeepSeek-V3.1: 36.3 (#232)
- Longcat Flash Chat: 43.5 (#93)

| Benchmark | DeepSeek-V3.1 | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | 1422 | 1425 |
| Fiction.LiveBench | 52.8% | — |

## Writing & Preference

- DeepSeek-V3.1: 60.3 (#98)
- Longcat Flash Chat: 61.0 (#91)

| Benchmark | DeepSeek-V3.1 | Longcat Flash Chat |
|---|---|---|
| LMArena Text | 1420 | 1427 |
| LMArena Creative Writing | 1401 | 1388 |
| LMArena Multi-Turn | 1408 | 1418 |
| EQ-Bench Creative Writing | 1436 | — |

## FAQ

### Is DeepSeek-V3.1 better than Longcat Flash Chat?

DeepSeek-V3.1 and Longcat Flash Chat score almost the same on the Noometry Index (42.8 vs 42.1), so choose on price, context window or the category you care about most.

### Is DeepSeek-V3.1 or Longcat Flash Chat better for coding?

Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 40.3 in the Noometry coding category.

### How many benchmarks do DeepSeek-V3.1 and Longcat Flash Chat share?

18 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Longcat Flash Chat has 19.