# DeepSeek-V3.1-Terminus vs Longcat Flash Chat

> DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 42.1 on the Noometry Index.

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

## Summary

- They share 11 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 2 categories and Longcat Flash Chat in 5 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.1-Terminus leads 26.4 to 19.0.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 57.4% for DeepSeek-V3.1-Terminus and 43.9% for Longcat Flash Chat.

## Snapshot

| | DeepSeek-V3.1-Terminus | Longcat Flash Chat |
|---|---|---|
| Provider | DeepSeek | Meituan |
| Noometry Index | 43.1 | 42.1 |
| Rank | 97 | 120 |
| Context | 164K | — |
| Input $/M | $0.27 | — |
| Output $/M | $1 | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.1-Terminus: 42.0 (#113)
- Longcat Flash Chat: 43.5 (#87)

| Benchmark | DeepSeek-V3.1-Terminus | Longcat Flash Chat |
|---|---|---|
| LMArena Coding | 1426 | 1471 |
| SciCode | 40.6% | — |
| ALE-Bench | 745.17 | — |

## Reasoning

- DeepSeek-V3.1-Terminus: 26.4 (#133)
- Longcat Flash Chat: 19.0 (#272)

| Benchmark | DeepSeek-V3.1-Terminus | Longcat Flash Chat |
|---|---|---|
| Kagi LLM Benchmark | 57.4% | 43.9% |
| LMArena Hard Prompts | 1426 | 1440 |
| NYT Connections (extended) | — | 17.7% |
| CritPt | 1.7% | — |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |

## Math

- DeepSeek-V3.1-Terminus: 38.5 (#137)
- Longcat Flash Chat: 39.4 (#107)

| Benchmark | DeepSeek-V3.1-Terminus | Longcat Flash Chat |
|---|---|---|
| LMArena Math | 1402 | 1442 |

## Knowledge

- DeepSeek-V3.1-Terminus: —
- Longcat Flash Chat: 40.6 (#116)

| Benchmark | DeepSeek-V3.1-Terminus | Longcat Flash Chat |
|---|---|---|
| LMArena Expert | — | 1454 |

## Multilingual

- DeepSeek-V3.1-Terminus: 52.1 (#92)
- Longcat Flash Chat: 51.9 (#101)

| Benchmark | DeepSeek-V3.1-Terminus | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | 1407 | 1404 |
| LMArena Russian | 1436 | 1395 |
| LMArena Chinese | — | 1465 |
| LMArena French | — | 1456 |
| LMArena German | — | 1408 |
| LMArena Japanese | — | 1373 |
| LMArena Korean | — | 1371 |
| LMArena Spanish | — | 1445 |

## Instruction Following

- DeepSeek-V3.1-Terminus: 74.0 (#106)
- Longcat Flash Chat: 74.4 (#96)

| Benchmark | DeepSeek-V3.1-Terminus | Longcat Flash Chat |
|---|---|---|
| LMArena Instruction Following | 1404 | 1411 |

## Long Context

- DeepSeek-V3.1-Terminus: 43.4 (#97)
- Longcat Flash Chat: 43.5 (#93)

| Benchmark | DeepSeek-V3.1-Terminus | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | 1421 | 1425 |

## Writing & Preference

- DeepSeek-V3.1-Terminus: 61.0 (#92)
- Longcat Flash Chat: 61.0 (#91)

| Benchmark | DeepSeek-V3.1-Terminus | Longcat Flash Chat |
|---|---|---|
| LMArena Text | 1419 | 1427 |
| LMArena Creative Writing | 1403 | 1388 |
| LMArena Multi-Turn | 1411 | 1418 |

## FAQ

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

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 42.1 on the Noometry Index.

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

Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 42.0 in the Noometry coding category.

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

11 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Longcat Flash Chat has 19.