# DeepSeek V4.1 Flash vs GLM-5.3-Flash

> DeepSeek V4.1 Flash and GLM-5.3-Flash score almost the same on the Noometry Index (50.3 vs 49.6), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/deepseek-v4-1-flash-vs-glm-5-3-flash
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 2 categories and GLM-5.3-Flash in 6 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 41.6.
- The biggest single-benchmark swing is ProofBench: 54% for DeepSeek V4.1 Flash and 21% for GLM-5.3-Flash.
- GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $0.15 / $0.60 for DeepSeek V4.1 Flash.

## Snapshot

| | DeepSeek V4.1 Flash | GLM-5.3-Flash |
|---|---|---|
| Provider | DeepSeek | Z.ai (Zhipu) |
| Noometry Index | 50.3 | 49.6 |
| Rank | 40 | 45 |
| Context | 1M | 1M |
| Input $/M | $0.15 | $0.15 |
| Output $/M | $0.60 | $0.50 |
| Weights | Open | Open |

## Coding

- DeepSeek V4.1 Flash: 52.8 (#29)
- GLM-5.3-Flash: 53.7 (#26)

| Benchmark | DeepSeek V4.1 Flash | GLM-5.3-Flash |
|---|---|---|
| LMArena WebDev | 1620 | 1614 |
| SciCode | 51.9% | 51.6% |
| LMArena Coding | 1511 | 1506 |
| ALE-Bench | 1,092 | 303.55 |
| DeepSWE | — | 63.4% |
| FrontierCode | — | 31.8% |

## Agentic & Tool Use

- DeepSeek V4.1 Flash: —
- GLM-5.3-Flash: 34.3 (#41)

| Benchmark | DeepSeek V4.1 Flash | GLM-5.3-Flash |
|---|---|---|
| APEX-Agents | — | 52.8% |
| GDP.pdf | — | 14% |

## Reasoning

- DeepSeek V4.1 Flash: 46.2 (#39)
- GLM-5.3-Flash: 31.7 (#69)

| Benchmark | DeepSeek V4.1 Flash | GLM-5.3-Flash |
|---|---|---|
| CritPt | 14.3% | 15.4% |
| LMArena Hard Prompts | 1485 | 1490 |
| Surface Evolver Bench | 46.3% | 52.5% |
| Epoch Capabilities Index | 155.01 | 151.9 |
| NYT Connections (extended) | 89.6% | — |
| Chess Puzzles | — | 14% |
| Mystery Game Puzzles | — | 8% |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Bench to the Future 3 | — | 0.15 |

## Math

- DeepSeek V4.1 Flash: 48.4 (#52)
- GLM-5.3-Flash: 53.1 (#38)

| Benchmark | DeepSeek V4.1 Flash | GLM-5.3-Flash |
|---|---|---|
| ProofBench | 54% | 21% |
| LMArena Math | 1493 | 1499 |
| FrontierMath (Tiers 1-3) | — | 55.8% |
| FrontierMath Tier 4 | — | 17.1% |
| OTIS Mock AIME 2024-2025 | — | 93.9% |

## Knowledge

- DeepSeek V4.1 Flash: 41.6 (#97)
- GLM-5.3-Flash: 58.4 (#33)

| Benchmark | DeepSeek V4.1 Flash | GLM-5.3-Flash |
|---|---|---|
| LMArena Expert | 1505 | 1512 |
| GPQA Diamond | — | 90.2% |

## Multimodal

- DeepSeek V4.1 Flash: —
- GLM-5.3-Flash: 42.6 (#25)

| Benchmark | DeepSeek V4.1 Flash | GLM-5.3-Flash |
|---|---|---|
| LMArena Vision | — | 1304 |

## Multilingual

- DeepSeek V4.1 Flash: 55.5 (#29)
- GLM-5.3-Flash: 56.2 (#24)

| Benchmark | DeepSeek V4.1 Flash | GLM-5.3-Flash |
|---|---|---|
| LMArena Non-English | 1452 | 1462 |
| LMArena Chinese | 1506 | 1529 |
| LMArena French | 1448 | 1495 |
| LMArena Russian | 1473 | 1472 |
| LMArena Spanish | 1499 | 1471 |
| LMArena German | — | 1457 |
| LMArena Japanese | — | 1420 |
| LMArena Korean | — | 1443 |

## Instruction Following

- DeepSeek V4.1 Flash: 77.6 (#24)
- GLM-5.3-Flash: 77.8 (#17)

| Benchmark | DeepSeek V4.1 Flash | GLM-5.3-Flash |
|---|---|---|
| LMArena Instruction Following | 1475 | 1480 |

## Long Context

- DeepSeek V4.1 Flash: 45.2 (#46)
- GLM-5.3-Flash: 45.3 (#41)

| Benchmark | DeepSeek V4.1 Flash | GLM-5.3-Flash |
|---|---|---|
| LMArena Longer Query | 1476 | 1479 |

## Writing & Preference

- DeepSeek V4.1 Flash: 65.8 (#43)
- GLM-5.3-Flash: 65.4 (#49)

| Benchmark | DeepSeek V4.1 Flash | GLM-5.3-Flash |
|---|---|---|
| LMArena Text | 1465 | 1471 |
| LMArena Creative Writing | 1436 | 1440 |
| LMArena Multi-Turn | 1460 | 1471 |
| EQ-Bench Creative Writing | 1540 | — |

## FAQ

### Is DeepSeek V4.1 Flash better than GLM-5.3-Flash?

DeepSeek V4.1 Flash and GLM-5.3-Flash score almost the same on the Noometry Index (50.3 vs 49.6), so choose on price, context window or the category you care about most.

### Which is cheaper, DeepSeek V4.1 Flash or GLM-5.3-Flash?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; DeepSeek V4.1 Flash lists at $0.15 and $0.60.

### Is DeepSeek V4.1 Flash or GLM-5.3-Flash better for coding?

They score almost the same on coding (52.8 vs 53.7); test both on your own repository before choosing.

### Which has the bigger context window?

Both accept 1M tokens.

### How many benchmarks do DeepSeek V4.1 Flash and GLM-5.3-Flash share?

21 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and GLM-5.3-Flash has 36.