# DeepSeek V4.1 Flash vs GLM-4.5-Air

> DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 38.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v4-1-flash-vs-glm-4-5-air
- Last updated: 2026-10-12
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and GLM-4.5-Air 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 36.2.
- DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.20 / $1.10 for GLM-4.5-Air.
- DeepSeek V4.1 Flash accepts more context: 1M tokens versus 131K.

## Snapshot

| | DeepSeek V4.1 Flash | GLM-4.5-Air |
|---|---|---|
| Provider | DeepSeek | Z.ai (Zhipu) |
| Noometry Index | 52.8 | 38.9 |
| Rank | 38 | 177 |
| Context | 1M | 131K |
| Input $/M | $0.15 | $0.20 |
| Output $/M | $0.60 | $1.10 |
| Weights | Open | Open |

## Coding

- DeepSeek V4.1 Flash: 52.9 (#32)
- GLM-4.5-Air: 33.3 (#259)

| Benchmark | DeepSeek V4.1 Flash | GLM-4.5-Air |
|---|---|---|
| LMArena Coding | 1506 | 1397 |
| LMArena WebDev | 1619 | — |
| SciCode | 51.9% | — |
| GSO | — | 2.9% |
| ALE-Bench | 1,092 | — |

## Agentic & Tool Use

- DeepSeek V4.1 Flash: 31.2 (#69)
- GLM-4.5-Air: —

| Benchmark | DeepSeek V4.1 Flash | GLM-4.5-Air |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |

## Reasoning

- DeepSeek V4.1 Flash: 50.2 (#36)
- GLM-4.5-Air: 24.1 (#166)

| Benchmark | DeepSeek V4.1 Flash | GLM-4.5-Air |
|---|---|---|
| LMArena Hard Prompts | 1483 | 1379 |
| Kagi LLM Benchmark | — | 43% |
| 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 | — |
| ForecastBench | — | 59.2 |

## Math

- DeepSeek V4.1 Flash: 66.7 (#25)
- GLM-4.5-Air: 36.2 (#170)

| Benchmark | DeepSeek V4.1 Flash | GLM-4.5-Air |
|---|---|---|
| LMArena Math | 1477 | 1396 |
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 54% | — |
| Omni-MATH | — | 39.1% |

## Knowledge

- DeepSeek V4.1 Flash: 57.9 (#38)
- GLM-4.5-Air: 35.0 (#191)

| Benchmark | DeepSeek V4.1 Flash | GLM-4.5-Air |
|---|---|---|
| LMArena Expert | 1506 | 1370 |
| GPQA Diamond | 89.8% | — |
| Humanity's Last Exam | — | 8.1% |
| MMLU-Pro | — | 76.2% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 59.4% |

## Multimodal

- DeepSeek V4.1 Flash: 39.1 (#61)
- GLM-4.5-Air: —

| Benchmark | DeepSeek V4.1 Flash | GLM-4.5-Air |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |

## Multilingual

- DeepSeek V4.1 Flash: 55.0 (#35)
- GLM-4.5-Air: 49.1 (#135)

| Benchmark | DeepSeek V4.1 Flash | GLM-4.5-Air |
|---|---|---|
| LMArena Non-English | 1448 | 1366 |
| LMArena Chinese | 1497 | 1426 |
| LMArena French | 1452 | 1399 |
| LMArena German | 1484 | 1377 |
| LMArena Japanese | 1412 | 1348 |
| LMArena Korean | 1452 | 1308 |
| LMArena Russian | 1471 | 1373 |
| LMArena Spanish | 1459 | 1386 |

## Instruction Following

- DeepSeek V4.1 Flash: 77.3 (#26)
- GLM-4.5-Air: 69.6 (#171)

| Benchmark | DeepSeek V4.1 Flash | GLM-4.5-Air |
|---|---|---|
| LMArena Instruction Following | 1474 | 1354 |
| IFEval | — | 81.2% |

## Long Context

- DeepSeek V4.1 Flash: 45.2 (#47)
- GLM-4.5-Air: 41.6 (#135)

| Benchmark | DeepSeek V4.1 Flash | GLM-4.5-Air |
|---|---|---|
| LMArena Longer Query | 1475 | 1366 |

## Writing & Preference

- DeepSeek V4.1 Flash: 65.4 (#48)
- GLM-4.5-Air: 55.9 (#139)

| Benchmark | DeepSeek V4.1 Flash | GLM-4.5-Air |
|---|---|---|
| LMArena Text | 1462 | 1384 |
| LMArena Creative Writing | 1435 | 1343 |
| LMArena Multi-Turn | 1457 | 1371 |
| EQ-Bench Creative Writing | 1540 | — |
| WildBench | — | 78.9% |

## FAQ

### Is DeepSeek V4.1 Flash better than GLM-4.5-Air?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 38.9 on the Noometry Index.

### Which is cheaper, DeepSeek V4.1 Flash or GLM-4.5-Air?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GLM-4.5-Air lists at $0.20 and $1.10.

### Is DeepSeek V4.1 Flash or GLM-4.5-Air better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 33.3 in the Noometry coding category.

### Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 131K.

### How many benchmarks do DeepSeek V4.1 Flash and GLM-4.5-Air share?

17 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and GLM-4.5-Air has 27.