Model comparison
GLM-4.7-Flash vs Ministral 3B
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 26.2 on the Noometry Index.
Last verified . 2 shared benchmarks.
Mistral AISummary
- They share 2 benchmarks with published results for both. GLM-4.7-Flash scores higher in 3 categories and Ministral 3B 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 10.4.
- The biggest single-benchmark swing is GPQA Diamond: 60.5% for GLM-4.7-Flash and 25.3% for Ministral 3B.
- Ministral 3B is cheaper at $0.10 / $0.10 per million input/output tokens, against $0.06 / $0.40 for GLM-4.7-Flash.
- GLM-4.7-Flash accepts more context: 200K tokens versus 131K.
Side by side
| GLM-4.7-Flash | Ministral 3B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 38.8 | 26.2 |
| Released | 2026-01-19 | 2024-10-01 |
| Weights | Open | Open |
| Context window | 200K | 131K |
| Max output | 131K | 262K |
| Input $ / M tokens | $0.06 | $0.10 |
| Output $ / M tokens | $0.40 | $0.10 |
| Results tracked | 21 | 6 |
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Category by category
Coding Not comparable
GLM-4.7-Flash: 40.6 (#135), Ministral 3B: —
| Benchmark | GLM-4.7-Flash | Ministral 3B |
|---|---|---|
| LMArena Coding | 1383 | — |
Reasoning GLM-4.7-Flash leads
GLM-4.7-Flash: 20.9 (#229), Ministral 3B: 18.4 (#282)
| Benchmark | GLM-4.7-Flash | Ministral 3B |
|---|---|---|
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1356 | — |
| DTBench | — | 51.7% |
| LMCA | — | 5.5% |
| Epoch Capabilities Index | — | 118.1 |
Math GLM-4.7-Flash leads
GLM-4.7-Flash: 36.1 (#173), Ministral 3B: 26.6 (#258)
| Benchmark | GLM-4.7-Flash | Ministral 3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 58.3% | — |
| LMArena Math | 1355 | — |
| MATH Level 5 | — | 14.4% |
Knowledge GLM-4.7-Flash leads
GLM-4.7-Flash: 35.5 (#184), Ministral 3B: 10.4 (#302)
| Benchmark | GLM-4.7-Flash | Ministral 3B |
|---|---|---|
| GPQA Diamond | 60.5% | 25.3% |
| Vectara Hallucination Rate | 9.3% | 7.3% |
| LMArena Expert | 1357 | — |
Multilingual Not comparable
GLM-4.7-Flash: 46.5 (#158), Ministral 3B: —
| Benchmark | GLM-4.7-Flash | Ministral 3B |
|---|---|---|
| LMArena Non-English | 1330 | — |
| LMArena Chinese | 1403 | — |
| LMArena French | 1332 | — |
| LMArena German | 1337 | — |
| LMArena Korean | 1283 | — |
| LMArena Russian | 1332 | — |
| LMArena Spanish | 1350 | — |
Instruction Following Not comparable
GLM-4.7-Flash: 70.1 (#167), Ministral 3B: —
| Benchmark | GLM-4.7-Flash | Ministral 3B |
|---|---|---|
| LMArena Instruction Following | 1327 | — |
Long Context Not comparable
GLM-4.7-Flash: 40.9 (#148), Ministral 3B: —
| Benchmark | GLM-4.7-Flash | Ministral 3B |
|---|---|---|
| LMArena Longer Query | 1345 | — |
Writing & Preference Not comparable
GLM-4.7-Flash: 47.4 (#210), Ministral 3B: —
| Benchmark | GLM-4.7-Flash | Ministral 3B |
|---|---|---|
| LMArena Text | 1351 | — |
| LMArena Creative Writing | 1297 | — |
| EQ-Bench Creative Writing | 1125 | — |
| LMArena Multi-Turn | 1342 | — |
Frequently asked questions
Is GLM-4.7-Flash better than Ministral 3B?
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 26.2 on the Noometry Index.
Which is cheaper, GLM-4.7-Flash or Ministral 3B?
Ministral 3B is cheaper. It lists at $0.10 per million input tokens and $0.10 per million output tokens; GLM-4.7-Flash lists at $0.06 and $0.40.
Which has the bigger context window?
GLM-4.7-Flash does, with 200K tokens against 131K.
How many benchmarks do GLM-4.7-Flash and Ministral 3B share?
2 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Ministral 3B has 6.