# DeepSeek LLM 67B vs DeepSeek V4.1 Flash

> DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 24.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-deepseek-v4-1-flash
- Last updated: 2026-10-10
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and DeepSeek V4.1 Flash in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4.1 Flash leads 48.4 to 8.1.

## Snapshot

| | DeepSeek LLM 67B | DeepSeek V4.1 Flash |
|---|---|---|
| Provider | DeepSeek | DeepSeek |
| Noometry Index | 24.8 | 50.3 |
| Rank | 341 | 40 |
| Context | — | 1M |
| Input $/M | — | $0.15 |
| Output $/M | — | $0.60 |
| Weights | Open | Open |

## Coding

- DeepSeek LLM 67B: 31.3 (#273)
- DeepSeek V4.1 Flash: 52.8 (#29)

| Benchmark | DeepSeek LLM 67B | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Coding | 1096 | 1511 |
| LMArena WebDev | — | 1620 |
| SciCode | — | 51.9% |
| ALE-Bench | — | 1,092 |

## Reasoning

- DeepSeek LLM 67B: 15.9 (#300)
- DeepSeek V4.1 Flash: 46.2 (#39)

| Benchmark | DeepSeek LLM 67B | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1485 |
| Epoch Capabilities Index | 110.54 | 155.01 |
| NYT Connections (extended) | — | 89.6% |
| CritPt | — | 14.3% |
| Chess Puzzles | 0% | — |
| DTBench | — | 89.9% |
| LMCA | — | 47% |
| Surface Evolver Bench | — | 46.3% |

## Math

- DeepSeek LLM 67B: 8.1 (#318)
- DeepSeek V4.1 Flash: 48.4 (#52)

| Benchmark | DeepSeek LLM 67B | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Math | 1108 | 1493 |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| ProofBench | — | 54% |
| MATH Level 5 | 6.4% | — |

## Knowledge

- DeepSeek LLM 67B: 7.1 (#308)
- DeepSeek V4.1 Flash: 41.6 (#97)

| Benchmark | DeepSeek LLM 67B | DeepSeek V4.1 Flash |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| LMArena Expert | — | 1505 |

## Multilingual

- DeepSeek LLM 67B: 29.5 (#262)
- DeepSeek V4.1 Flash: 55.5 (#29)

| Benchmark | DeepSeek LLM 67B | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Non-English | 1073 | 1452 |
| LMArena Chinese | 1132 | 1506 |
| LMArena French | — | 1448 |
| LMArena Russian | — | 1473 |
| LMArena Spanish | — | 1499 |

## Instruction Following

- DeepSeek LLM 67B: 55.7 (#272)
- DeepSeek V4.1 Flash: 77.6 (#24)

| Benchmark | DeepSeek LLM 67B | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Instruction Following | 1079 | 1475 |

## Long Context

- DeepSeek LLM 67B: 33.1 (#260)
- DeepSeek V4.1 Flash: 45.2 (#46)

| Benchmark | DeepSeek LLM 67B | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Longer Query | 1092 | 1476 |

## Writing & Preference

- DeepSeek LLM 67B: 31.8 (#277)
- DeepSeek V4.1 Flash: 65.8 (#43)

| Benchmark | DeepSeek LLM 67B | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Text | 1105 | 1465 |
| LMArena Creative Writing | 1067 | 1436 |
| LMArena Multi-Turn | 1082 | 1460 |
| EQ-Bench Creative Writing | — | 1540 |

## FAQ

### Is DeepSeek LLM 67B better than DeepSeek V4.1 Flash?

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 24.8 on the Noometry Index.

### Is DeepSeek LLM 67B or DeepSeek V4.1 Flash better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 31.3 in the Noometry coding category.

### How many benchmarks do DeepSeek LLM 67B and DeepSeek V4.1 Flash share?

11 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and DeepSeek V4.1 Flash has 25.