Model comparison
GLM-4.7-Flash vs Mistral Small 3.2
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 31.2 on the Noometry Index.
Last verified . 4 shared benchmarks.
Mistral AISummary
- They share 4 benchmarks with published results for both. GLM-4.7-Flash scores higher in 4 categories and Mistral Small 3.2 in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.7-Flash leads 36.1 to 26.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 58.3% for GLM-4.7-Flash and 30.3% for Mistral Small 3.2.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.06 / $0.40 for GLM-4.7-Flash.
- Mistral Small 3.2 accepts more context: 256K tokens versus 200K.
Side by side
| GLM-4.7-Flash | Mistral Small 3.2 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 38.8 | 31.2 |
| Released | 2026-01-19 | 2025-06-20 |
| Weights | Open | Open |
| Context window | 200K | 256K |
| Max output | 131K | 16K |
| Input $ / M tokens | $0.06 | $0.0938 |
| Output $ / M tokens | $0.40 | $0.25 |
| Results tracked | 21 | 6 |
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Category by category
Coding Not comparable
GLM-4.7-Flash: 40.6 (#135), Mistral Small 3.2: —
| Benchmark | GLM-4.7-Flash | Mistral Small 3.2 |
|---|---|---|
| LMArena Coding | 1383 | — |
Reasoning GLM-4.7-Flash leads
GLM-4.7-Flash: 20.9 (#229), Mistral Small 3.2: 18.1 (#287)
| Benchmark | GLM-4.7-Flash | Mistral Small 3.2 |
|---|---|---|
| Chess Puzzles | 0% | 1% |
| Kagi LLM Benchmark | — | 40.4% |
| LMArena Hard Prompts | 1356 | — |
| Epoch Capabilities Index | — | 131.74 |
Math GLM-4.7-Flash leads
GLM-4.7-Flash: 36.1 (#173), Mistral Small 3.2: 26.3 (#260)
| Benchmark | GLM-4.7-Flash | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 58.3% | 30.3% |
| LMArena Math | 1355 | — |
Knowledge GLM-4.7-Flash leads
GLM-4.7-Flash: 35.5 (#184), Mistral Small 3.2: 26.7 (#256)
| Benchmark | GLM-4.7-Flash | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 60.5% | 49.1% |
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1357 | — |
Multilingual Not comparable
GLM-4.7-Flash: 46.5 (#158), Mistral Small 3.2: —
| Benchmark | GLM-4.7-Flash | Mistral Small 3.2 |
|---|---|---|
| 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 Small 3.2: —
| Benchmark | GLM-4.7-Flash | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1327 | — |
Long Context Not comparable
GLM-4.7-Flash: 40.9 (#148), Mistral Small 3.2: —
| Benchmark | GLM-4.7-Flash | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1345 | — |
Writing & Preference GLM-4.7-Flash leads
GLM-4.7-Flash: 47.4 (#210), Mistral Small 3.2: 45.0 (#224)
| Benchmark | GLM-4.7-Flash | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | 1125 | 1255 |
| LMArena Text | 1351 | — |
| LMArena Creative Writing | 1297 | — |
| LMArena Multi-Turn | 1342 | — |
Frequently asked questions
Is GLM-4.7-Flash better than Mistral Small 3.2?
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 31.2 on the Noometry Index.
Which is cheaper, GLM-4.7-Flash or Mistral Small 3.2?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; GLM-4.7-Flash lists at $0.06 and $0.40.
Which has the bigger context window?
Mistral Small 3.2 does, with 256K tokens against 200K.
How many benchmarks do GLM-4.7-Flash and Mistral Small 3.2 share?
4 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Mistral Small 3.2 has 6.