# GLM-4.6V vs Mistral 7B

> GLM-4.6V is the stronger model overall, scoring 41.3 to 23.0 on the Noometry Index. Mistral 7B costs 1.8× less per token, which makes it the better buy when GLM-4.6V's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-6v-vs-mistral-7b
- Last updated: 2026-10-11
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. GLM-4.6V scores higher in 7 categories and Mistral 7B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.6V leads 38.0 to 7.4.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $0.30 / $0.90 for GLM-4.6V.
- GLM-4.6V accepts more context: 128K tokens versus 8K.

## Snapshot

| | GLM-4.6V | Mistral 7B |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 41.3 | 23.0 |
| Rank | 137 | 351 |
| Context | 128K | 8K |
| Input $/M | $0.30 | $0.25 |
| Output $/M | $0.90 | $0.25 |
| Weights | Open | Open |

## Coding

- GLM-4.6V: 40.9 (#128)
- Mistral 7B: 26.4 (#326)

| Benchmark | GLM-4.6V | Mistral 7B |
|---|---|---|
| LMArena Coding | 1390 | 1082 |
| BigCodeBench Instruct | — | 19.5% |
| BigCodeBench Complete | — | 27.3% |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |

## Reasoning

- GLM-4.6V: 27.6 (#115)
- Mistral 7B: 13.1 (#336)

| Benchmark | GLM-4.6V | Mistral 7B |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1067 |
| Chess Puzzles | — | 0% |
| DTBench | — | 42.5% |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| Epoch Capabilities Index | — | 112.21 |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |

## Math

- GLM-4.6V: —
- Mistral 7B: 8.1 (#325)

| Benchmark | GLM-4.6V | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 0.3% |
| LMArena Math | — | 1085 |
| MATH Level 5 | — | 3.7% |
| GSM8K | — | 54.4% |

## Knowledge

- GLM-4.6V: 38.0 (#149)
- Mistral 7B: 7.4 (#311)

| Benchmark | GLM-4.6V | Mistral 7B |
|---|---|---|
| LMArena Expert | 1371 | 1036 |
| GPQA Diamond | — | 15.2% |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |

## Multimodal

- GLM-4.6V: 34.8 (#90)
- Mistral 7B: —

| Benchmark | GLM-4.6V | Mistral 7B |
|---|---|---|
| LMArena Vision | 1164 | — |

## Multilingual

- GLM-4.6V: 48.6 (#141)
- Mistral 7B: 25.8 (#283)

| Benchmark | GLM-4.6V | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1359 | 1012 |
| LMArena Chinese | 1425 | 1009 |
| LMArena Russian | 1340 | 1018 |
| LMArena French | — | 1037 |
| LMArena German | — | 987 |
| LMArena Japanese | — | 878 |
| LMArena Spanish | — | 1026 |

## Instruction Following

- GLM-4.6V: 71.4 (#151)
- Mistral 7B: 54.2 (#280)

| Benchmark | GLM-4.6V | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1352 | 1060 |

## Long Context

- GLM-4.6V: 41.3 (#143)
- Mistral 7B: 32.2 (#271)

| Benchmark | GLM-4.6V | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1358 | 1060 |

## Writing & Preference

- GLM-4.6V: 56.6 (#137)
- Mistral 7B: 30.7 (#286)

| Benchmark | GLM-4.6V | Mistral 7B |
|---|---|---|
| LMArena Text | 1377 | 1090 |
| LMArena Creative Writing | 1347 | 1068 |
| LMArena Multi-Turn | 1360 | 1062 |

## FAQ

### Is GLM-4.6V better than Mistral 7B?

GLM-4.6V is the stronger model overall, scoring 41.3 to 23.0 on the Noometry Index. Mistral 7B costs 1.8× less per token, which makes it the better buy when GLM-4.6V's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.6V or Mistral 7B?

Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; GLM-4.6V lists at $0.30 and $0.90.

### Is GLM-4.6V or Mistral 7B better for coding?

GLM-4.6V scores higher on coding benchmarks: 40.9 versus 26.4 in the Noometry coding category.

### Which has the bigger context window?

GLM-4.6V does, with 128K tokens against 8K.

### How many benchmarks do GLM-4.6V and Mistral 7B share?

11 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Mistral 7B has 37.