Model comparison
GLM-5V-Turbo vs Mistral Small 3.2
GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 14× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in writing & preference, where GLM-5V-Turbo leads 62.6 to 45.1.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
- Mistral Small 3.2 accepts more context: 256K tokens versus 200K.
- Mistral Small 3.2 has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | Mistral Small 3.2 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 43.1 | 30.8 |
| Released | 2026-04-01 | 2025-06-20 |
| Weights | Proprietary | Open |
| Context window | 200K | 256K |
| Max output | 131K | 16K |
| Input $ / M tokens | $1.20 | $0.0938 |
| Output $ / M tokens | $4 | $0.25 |
| Results tracked | 19 | 6 |
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Category by category
Coding Not comparable
GLM-5V-Turbo: 41.8 (#105), Mistral Small 3.2: —
| Benchmark | GLM-5V-Turbo | Mistral Small 3.2 |
|---|---|---|
| LMArena WebDev | 1400 | — |
| LMArena Coding | 1467 | — |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 28.5 (#87), Mistral Small 3.2: 17.5 (#282)
| Benchmark | GLM-5V-Turbo | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | — | 40.4% |
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | 1443 | — |
| Epoch Capabilities Index | — | 131.73 |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 36.6 (#109), Mistral Small 3.2: 24.9 (#251)
| Benchmark | GLM-5V-Turbo | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30.3% |
| LMArena Math | 1440 | — |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 39.9 (#113), Mistral Small 3.2: 26.8 (#249)
| Benchmark | GLM-5V-Turbo | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| LMArena Expert | 1451 | — |
Multimodal Not comparable
GLM-5V-Turbo: 40.1 (#41), Mistral Small 3.2: —
| Benchmark | GLM-5V-Turbo | Mistral Small 3.2 |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual Not comparable
GLM-5V-Turbo: 53.2 (#69), Mistral Small 3.2: —
| Benchmark | GLM-5V-Turbo | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1420 | — |
| LMArena Chinese | 1488 | — |
| LMArena French | 1443 | — |
| LMArena German | 1422 | — |
| LMArena Korean | 1399 | — |
| LMArena Russian | 1432 | — |
| LMArena Spanish | 1446 | — |
Instruction Following Not comparable
GLM-5V-Turbo: 75.1 (#75), Mistral Small 3.2: —
| Benchmark | GLM-5V-Turbo | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1422 | — |
Long Context Not comparable
GLM-5V-Turbo: 44.0 (#76), Mistral Small 3.2: —
| Benchmark | GLM-5V-Turbo | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1439 | — |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.6 (#69), Mistral Small 3.2: 45.1 (#219)
| Benchmark | GLM-5V-Turbo | Mistral Small 3.2 |
|---|---|---|
| LMArena Text | 1437 | — |
| LMArena Creative Writing | 1414 | — |
| EQ-Bench Creative Writing | — | 1255 |
| LMArena Multi-Turn | 1432 | — |
Frequently asked questions
Is GLM-5V-Turbo better than Mistral Small 3.2?
GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 14× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.
Which is cheaper, GLM-5V-Turbo 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-5V-Turbo lists at $1.20 and $4.
Which has the bigger context window?
Mistral Small 3.2 does, with 256K tokens against 200K.
How many benchmarks do GLM-5V-Turbo and Mistral Small 3.2 share?
0 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Mistral Small 3.2 has 6.