Model comparison
GLM-4.7-Flash vs Magistral Medium
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 35.2 on the Noometry Index.
Last verified . 16 shared benchmarks.
Mistral AISummary
- They share 16 benchmarks with published results for both. GLM-4.7-Flash scores higher in 8 categories and Magistral Medium in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.7-Flash leads 20.9 to 8.6.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $2 / $5 for Magistral Medium.
- Magistral Medium accepts more context: 262K tokens versus 200K.
Side by side
| GLM-4.7-Flash | Magistral Medium | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 38.8 | 35.2 |
| Released | 2026-01-19 | 2025-03-17 |
| Weights | Open | Open |
| Context window | 200K | 262K |
| Max output | 131K | 16K |
| Input $ / M tokens | $0.06 | $2 |
| Output $ / M tokens | $0.40 | $5 |
| Results tracked | 21 | 22 |
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Category by category
Coding GLM-4.7-Flash leads
GLM-4.7-Flash: 40.6 (#135), Magistral Medium: 39.1 (#161)
| Benchmark | GLM-4.7-Flash | Magistral Medium |
|---|---|---|
| LMArena Coding | 1383 | 1319 |
| SciCode | — | 39.2% |
Reasoning GLM-4.7-Flash leads
GLM-4.7-Flash: 20.9 (#229), Magistral Medium: 8.6 (#348)
| Benchmark | GLM-4.7-Flash | Magistral Medium |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1267 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 16.2% |
| ARC-AGI-1 | — | 6.1% |
| CritPt | — | 0.3% |
| Chess Puzzles | 0% | — |
Math GLM-4.7-Flash leads
GLM-4.7-Flash: 36.1 (#173), Magistral Medium: 35.1 (#189)
| Benchmark | GLM-4.7-Flash | Magistral Medium |
|---|---|---|
| LMArena Math | 1355 | 1250 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
Knowledge GLM-4.7-Flash leads
GLM-4.7-Flash: 35.5 (#184), Magistral Medium: 33.5 (#202)
| Benchmark | GLM-4.7-Flash | Magistral Medium |
|---|---|---|
| LMArena Expert | 1357 | 1223 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |
Multilingual GLM-4.7-Flash leads
GLM-4.7-Flash: 46.5 (#158), Magistral Medium: 39.6 (#224)
| Benchmark | GLM-4.7-Flash | Magistral Medium |
|---|---|---|
| LMArena Non-English | 1330 | 1232 |
| LMArena Chinese | 1403 | 1227 |
| LMArena French | 1332 | 1267 |
| LMArena German | 1337 | 1248 |
| LMArena Korean | 1283 | 1125 |
| LMArena Russian | 1332 | 1224 |
| LMArena Spanish | 1350 | 1271 |
| LMArena Japanese | — | 1175 |
Instruction Following GLM-4.7-Flash leads
GLM-4.7-Flash: 70.1 (#167), Magistral Medium: 66.0 (#211)
| Benchmark | GLM-4.7-Flash | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | 1327 | 1254 |
Long Context GLM-4.7-Flash leads
GLM-4.7-Flash: 40.9 (#148), Magistral Medium: 39.3 (#183)
| Benchmark | GLM-4.7-Flash | Magistral Medium |
|---|---|---|
| LMArena Longer Query | 1345 | 1295 |
Writing & Preference GLM-4.7-Flash leads
GLM-4.7-Flash: 47.4 (#210), Magistral Medium: 46.3 (#219)
| Benchmark | GLM-4.7-Flash | Magistral Medium |
|---|---|---|
| LMArena Text | 1351 | 1255 |
| LMArena Creative Writing | 1297 | 1245 |
| LMArena Multi-Turn | 1342 | 1275 |
| EQ-Bench Creative Writing | 1125 | — |
Frequently asked questions
Is GLM-4.7-Flash better than Magistral Medium?
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 35.2 on the Noometry Index.
Which is cheaper, GLM-4.7-Flash or Magistral Medium?
GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Magistral Medium lists at $2 and $5.
Is GLM-4.7-Flash or Magistral Medium better for coding?
GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 39.1 in the Noometry coding category.
Which has the bigger context window?
Magistral Medium does, with 262K tokens against 200K.
How many benchmarks do GLM-4.7-Flash and Magistral Medium share?
16 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Magistral Medium has 22.