# GLM-4.7-Flash vs Mistral Nemo

> GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 26.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-mistral-nemo
- Last updated: 2026-10-11
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. GLM-4.7-Flash scores higher in 4 categories and Mistral Nemo in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7-Flash leads 35.5 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 60.5% for GLM-4.7-Flash and 29.9% for Mistral Nemo.
- Both cost about the same: $0.06 input and $0.40 output per million tokens.
- GLM-4.7-Flash accepts more context: 200K tokens versus 128K.

## Snapshot

| | GLM-4.7-Flash | Mistral Nemo |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 38.8 | 26.4 |
| Rank | 180 | 337 |
| Context | 200K | 128K |
| Input $/M | $0.06 | $0.15 |
| Output $/M | $0.40 | $0.15 |
| Weights | Open | Open |

## Coding

- GLM-4.7-Flash: 40.6 (#135)
- Mistral Nemo: —

| Benchmark | GLM-4.7-Flash | Mistral Nemo |
|---|---|---|
| LMArena Coding | 1383 | — |

## Agentic & Tool Use

- GLM-4.7-Flash: —
- Mistral Nemo: 23.5 (#125)

| Benchmark | GLM-4.7-Flash | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |

## Reasoning

- GLM-4.7-Flash: 20.9 (#229)
- Mistral Nemo: 20.7 (#232)

| Benchmark | GLM-4.7-Flash | Mistral Nemo |
|---|---|---|
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1356 | — |
| DTBench | — | 48.6% |
| Epoch Capabilities Index | — | 118.68 |
| PIQA | — | 83.5% |

## Math

- GLM-4.7-Flash: 36.1 (#173)
- Mistral Nemo: 25.5 (#268)

| Benchmark | GLM-4.7-Flash | Mistral Nemo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 58.3% | — |
| LMArena Math | 1355 | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |

## Knowledge

- GLM-4.7-Flash: 35.5 (#184)
- Mistral Nemo: 12.3 (#298)

| Benchmark | GLM-4.7-Flash | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 60.5% | 29.9% |
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1357 | — |
| BoolQ | — | 82.5% |

## Multilingual

- GLM-4.7-Flash: 46.5 (#158)
- Mistral Nemo: —

| Benchmark | GLM-4.7-Flash | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1330 | — |
| LMArena Chinese | 1403 | — |
| LMArena French | 1332 | — |
| LMArena German | 1337 | — |
| LMArena Korean | 1283 | — |
| LMArena Russian | 1332 | — |
| LMArena Spanish | 1350 | — |

## Instruction Following

- GLM-4.7-Flash: 70.1 (#167)
- Mistral Nemo: —

| Benchmark | GLM-4.7-Flash | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1327 | — |

## Long Context

- GLM-4.7-Flash: 40.9 (#148)
- Mistral Nemo: —

| Benchmark | GLM-4.7-Flash | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1345 | — |

## Writing & Preference

- GLM-4.7-Flash: 47.4 (#210)
- Mistral Nemo: 28.5 (#296)

| Benchmark | GLM-4.7-Flash | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | 1125 | 881 |
| LMArena Text | 1351 | — |
| LMArena Creative Writing | 1297 | — |
| LMArena Multi-Turn | 1342 | — |

## FAQ

### Is GLM-4.7-Flash better than Mistral Nemo?

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 26.4 on the Noometry Index.

### Which is cheaper, GLM-4.7-Flash or Mistral Nemo?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Mistral Nemo lists at $0.15 and $0.15.

### Which has the bigger context window?

GLM-4.7-Flash does, with 200K tokens against 128K.

### How many benchmarks do GLM-4.7-Flash and Mistral Nemo share?

2 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Mistral Nemo has 10.