Model comparison
GLM-4.7-Flash vs Mistral Medium 3.1
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 31.9 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. GLM-4.7-Flash scores higher in 1 category and Mistral Medium 3.1 in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.7-Flash leads 20.9 to 10.6.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.40 / $2 for Mistral Medium 3.1.
- GLM-4.7-Flash accepts more context: 200K tokens versus 131K.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.
Side by side
| GLM-4.7-Flash | Mistral Medium 3.1 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 38.8 | 31.9 |
| Released | 2026-01-19 | — |
| Weights | Open | Proprietary |
| Context window | 200K | 131K |
| Max output | 131K | 105K |
| Input $ / M tokens | $0.06 | $0.40 |
| Output $ / M tokens | $0.40 | $2 |
| Results tracked | 21 | 3 |
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Category by category
Coding Not comparable
GLM-4.7-Flash: 40.6 (#135), Mistral Medium 3.1: —
| Benchmark | GLM-4.7-Flash | Mistral Medium 3.1 |
|---|---|---|
| LMArena Coding | 1383 | — |
Reasoning GLM-4.7-Flash leads
GLM-4.7-Flash: 20.9 (#229), Mistral Medium 3.1: 10.6 (#341)
| Benchmark | GLM-4.7-Flash | Mistral Medium 3.1 |
|---|---|---|
| NYT Connections (extended) | — | 6.5% |
| Chess Puzzles | 0% | — |
| Thematic Generalization | — | 20.3% |
| LMArena Hard Prompts | 1356 | — |
Math Not comparable
GLM-4.7-Flash: 36.1 (#173), Mistral Medium 3.1: —
| Benchmark | GLM-4.7-Flash | Mistral Medium 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 58.3% | — |
| LMArena Math | 1355 | — |
Knowledge Not comparable
GLM-4.7-Flash: 35.5 (#184), Mistral Medium 3.1: —
| Benchmark | GLM-4.7-Flash | Mistral Medium 3.1 |
|---|---|---|
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1357 | — |
Multilingual Not comparable
GLM-4.7-Flash: 46.5 (#158), Mistral Medium 3.1: —
| Benchmark | GLM-4.7-Flash | Mistral Medium 3.1 |
|---|---|---|
| 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), Mistral Medium 3.1: —
| Benchmark | GLM-4.7-Flash | Mistral Medium 3.1 |
|---|---|---|
| LMArena Instruction Following | 1327 | — |
Long Context Not comparable
GLM-4.7-Flash: 40.9 (#148), Mistral Medium 3.1: —
| Benchmark | GLM-4.7-Flash | Mistral Medium 3.1 |
|---|---|---|
| LMArena Longer Query | 1345 | — |
Writing & Preference Mistral Medium 3.1 leads
GLM-4.7-Flash: 47.4 (#210), Mistral Medium 3.1: 55.5 (#145)
| Benchmark | GLM-4.7-Flash | Mistral Medium 3.1 |
|---|---|---|
| EQ-Bench Creative Writing | 1125 | 1476 |
| LMArena Text | 1351 | — |
| LMArena Creative Writing | 1297 | — |
| LMArena Multi-Turn | 1342 | — |
Frequently asked questions
Is GLM-4.7-Flash better than Mistral Medium 3.1?
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 31.9 on the Noometry Index.
Which is cheaper, GLM-4.7-Flash or Mistral Medium 3.1?
GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Mistral Medium 3.1 lists at $0.40 and $2.
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 Mistral Medium 3.1 share?
1 benchmark has published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Mistral Medium 3.1 has 3.