Model comparison
GLM-5V-Turbo vs Mistral Small 3.1
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 31.7 on the Noometry Index. Mistral Small 3.1 costs 4.7× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Mistral AISummary
- They share 17 benchmarks with published results for both. GLM-5V-Turbo scores higher in 9 categories and Mistral Small 3.1 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-5V-Turbo leads 62.5 to 37.0.
- Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
- GLM-5V-Turbo accepts more context: 200K tokens versus 128K.
- Mistral Small 3.1 has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | Mistral Small 3.1 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 43.8 | 31.7 |
| Released | 2026-04-01 | 2025-03-17 |
| Weights | Proprietary | Open |
| Context window | 200K | 128K |
| Max output | 131K | 102K |
| Input $ / M tokens | $1.20 | $0.35 |
| Output $ / M tokens | $4 | $0.56 |
| Results tracked | 19 | 28 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), Mistral Small 3.1: 38.3 (#179)
| Benchmark | GLM-5V-Turbo | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1466 | 1309 |
| LMArena WebDev | 1401 | — |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), Mistral Small 3.1: 19.7 (#254)
| Benchmark | GLM-5V-Turbo | Mistral Small 3.1 |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1278 |
| Chess Puzzles | — | 1% |
| Epoch Capabilities Index | — | 127.48 |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 39.4 (#106), Mistral Small 3.1: 14.7 (#301)
| Benchmark | GLM-5V-Turbo | Mistral Small 3.1 |
|---|---|---|
| LMArena Math | 1441 | 1262 |
| OTIS Mock AIME 2024-2025 | — | 3.9% |
| Omni-MATH | — | 24.8% |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 40.6 (#117), Mistral Small 3.1: 22.6 (#271)
| Benchmark | GLM-5V-Turbo | Mistral Small 3.1 |
|---|---|---|
| LMArena Expert | 1452 | 1257 |
| GPQA Diamond | — | 41.9% |
| MMLU-Pro | — | 61% |
| GPQA (HELM) | — | 39.2% |
Multimodal GLM-5V-Turbo leads
GLM-5V-Turbo: 40.9 (#42), Mistral Small 3.1: 33.2 (#99)
| Benchmark | GLM-5V-Turbo | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | 1264 | 1136 |
| LMArena Document | 1416 | — |
Multilingual GLM-5V-Turbo leads
GLM-5V-Turbo: 53.0 (#73), Mistral Small 3.1: 41.2 (#209)
| Benchmark | GLM-5V-Turbo | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1420 | 1255 |
| LMArena Chinese | 1488 | 1253 |
| LMArena French | 1444 | 1273 |
| LMArena German | 1423 | 1266 |
| LMArena Korean | 1396 | 1206 |
| LMArena Russian | 1431 | 1263 |
| LMArena Spanish | 1450 | 1283 |
| LMArena Japanese | — | 1208 |
Instruction Following GLM-5V-Turbo leads
GLM-5V-Turbo: 75.0 (#80), Mistral Small 3.1: 63.6 (#230)
| Benchmark | GLM-5V-Turbo | Mistral Small 3.1 |
|---|---|---|
| LMArena Instruction Following | 1423 | 1264 |
| IFEval | — | 75% |
Long Context GLM-5V-Turbo leads
GLM-5V-Turbo: 44.0 (#80), Mistral Small 3.1: 39.5 (#178)
| Benchmark | GLM-5V-Turbo | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1438 | 1299 |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.5 (#73), Mistral Small 3.1: 37.0 (#259)
| Benchmark | GLM-5V-Turbo | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1437 | 1277 |
| LMArena Creative Writing | 1416 | 1253 |
| LMArena Multi-Turn | 1432 | 1270 |
| EQ-Bench Creative Writing | — | 761 |
| WildBench | — | 78.8% |
Frequently asked questions
Is GLM-5V-Turbo better than Mistral Small 3.1?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 31.7 on the Noometry Index. Mistral Small 3.1 costs 4.7× 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 3.1?
Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.
Is GLM-5V-Turbo or Mistral Small 3.1 better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 38.3 in the Noometry coding category.
Which has the bigger context window?
GLM-5V-Turbo does, with 200K tokens against 128K.
How many benchmarks do GLM-5V-Turbo and Mistral Small 3.1 share?
17 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Mistral Small 3.1 has 28.