# GLM-4.5-Air vs Mistral 7B

> GLM-4.5-Air is the stronger model overall, scoring 38.7 to 22.9 on the Noometry Index. Mistral 7B costs 1.7× less per token, which makes it the better buy when GLM-4.5-Air's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-5-air-vs-mistral-7b
- Last updated: 2026-10-10
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. GLM-4.5-Air scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.5-Air leads 34.6 to 7.3.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $0.20 / $1.10 for GLM-4.5-Air.
- GLM-4.5-Air accepts more context: 131K tokens versus 8K.

## Snapshot

| | GLM-4.5-Air | Mistral 7B |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 38.7 | 22.9 |
| Rank | 169 | 346 |
| Context | 131K | 8K |
| Input $/M | $0.20 | $0.25 |
| Output $/M | $1.10 | $0.25 |
| Weights | Open | Open |

## Coding

- GLM-4.5-Air: 34.5 (#225)
- Mistral 7B: 25.9 (#321)

| Benchmark | GLM-4.5-Air | Mistral 7B |
|---|---|---|
| LMArena Coding | 1397 | 1082 |
| GSO | 2.9% | — |
| BigCodeBench Instruct | — | 19.5% |
| BigCodeBench Complete | — | 27.3% |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |

## Reasoning

- GLM-4.5-Air: 23.3 (#166)
- Mistral 7B: 12.6 (#331)

| Benchmark | GLM-4.5-Air | Mistral 7B |
|---|---|---|
| LMArena Hard Prompts | 1379 | 1067 |
| Kagi LLM Benchmark | 43% | — |
| Chess Puzzles | — | 0% |
| DTBench | — | 42.5% |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| Epoch Capabilities Index | — | 111.97 |
| ForecastBench | 59.2 | — |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |

## Math

- GLM-4.5-Air: 33.8 (#166)
- Mistral 7B: 7.6 (#319)

| Benchmark | GLM-4.5-Air | Mistral 7B |
|---|---|---|
| LMArena Math | 1396 | 1085 |
| OTIS Mock AIME 2024-2025 | — | 0.3% |
| Omni-MATH | 39.1% | — |
| MATH Level 5 | — | 3.7% |
| GSM8K | — | 54.4% |

## Knowledge

- GLM-4.5-Air: 34.6 (#184)
- Mistral 7B: 7.3 (#306)

| Benchmark | GLM-4.5-Air | Mistral 7B |
|---|---|---|
| LMArena Expert | 1370 | 1036 |
| GPQA Diamond | — | 15.2% |
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 59.4% | — |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |

## Multilingual

- GLM-4.5-Air: 49.4 (#130)
- Mistral 7B: 26.0 (#278)

| Benchmark | GLM-4.5-Air | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1366 | 1012 |
| LMArena Chinese | 1427 | 1009 |
| LMArena French | 1399 | 1036 |
| LMArena German | 1376 | 987 |
| LMArena Japanese | 1348 | 878 |
| LMArena Russian | 1373 | 1018 |
| LMArena Spanish | 1385 | 1026 |
| LMArena Korean | 1306 | — |

## Instruction Following

- GLM-4.5-Air: 69.8 (#165)
- Mistral 7B: 54.5 (#275)

| Benchmark | GLM-4.5-Air | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1353 | 1060 |
| IFEval | 81.2% | — |

## Long Context

- GLM-4.5-Air: 41.6 (#130)
- Mistral 7B: 32.2 (#266)

| Benchmark | GLM-4.5-Air | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1367 | 1060 |

## Writing & Preference

- GLM-4.5-Air: 56.1 (#134)
- Mistral 7B: 30.9 (#281)

| Benchmark | GLM-4.5-Air | Mistral 7B |
|---|---|---|
| LMArena Text | 1384 | 1090 |
| LMArena Creative Writing | 1343 | 1068 |
| LMArena Multi-Turn | 1371 | 1062 |
| WildBench | 78.9% | — |

## FAQ

### Is GLM-4.5-Air better than Mistral 7B?

GLM-4.5-Air is the stronger model overall, scoring 38.7 to 22.9 on the Noometry Index. Mistral 7B costs 1.7× less per token, which makes it the better buy when GLM-4.5-Air's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.5-Air or Mistral 7B?

Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; GLM-4.5-Air lists at $0.20 and $1.10.

### Is GLM-4.5-Air or Mistral 7B better for coding?

GLM-4.5-Air scores higher on coding benchmarks: 34.5 versus 25.9 in the Noometry coding category.

### Which has the bigger context window?

GLM-4.5-Air does, with 131K tokens against 8K.

### How many benchmarks do GLM-4.5-Air and Mistral 7B share?

16 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Mistral 7B has 37.