Model comparison
GLM-4.6V vs Mistral Small 3.1
GLM-4.6V is the stronger model overall, scoring 41.3 to 31.7 on the Noometry Index.
Last verified . 12 shared benchmarks.
Mistral AISummary
- They share 12 benchmarks with published results for both. GLM-4.6V scores higher in 8 categories and Mistral Small 3.1 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.6V leads 56.6 to 37.0.
- Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $0.30 / $0.90 for GLM-4.6V.
Side by side
| GLM-4.6V | Mistral Small 3.1 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 41.3 | 31.7 |
| Released | 2025-12-08 | 2025-03-17 |
| Weights | Open | Open |
| Context window | 128K | 128K |
| Max output | 33K | 102K |
| Input $ / M tokens | $0.30 | $0.35 |
| Output $ / M tokens | $0.90 | $0.56 |
| Results tracked | 12 | 28 |
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Category by category
Coding GLM-4.6V leads
GLM-4.6V: 40.9 (#128), Mistral Small 3.1: 38.3 (#179)
| Benchmark | GLM-4.6V | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1390 | 1309 |
Reasoning GLM-4.6V leads
GLM-4.6V: 27.6 (#115), Mistral Small 3.1: 19.7 (#254)
| Benchmark | GLM-4.6V | Mistral Small 3.1 |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1278 |
| Chess Puzzles | — | 1% |
| Epoch Capabilities Index | — | 127.48 |
Math Not comparable
GLM-4.6V: —, Mistral Small 3.1: 14.7 (#301)
| Benchmark | GLM-4.6V | Mistral Small 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 3.9% |
| Omni-MATH | — | 24.8% |
| LMArena Math | — | 1262 |
Knowledge GLM-4.6V leads
GLM-4.6V: 38.0 (#149), Mistral Small 3.1: 22.6 (#271)
| Benchmark | GLM-4.6V | Mistral Small 3.1 |
|---|---|---|
| LMArena Expert | 1371 | 1257 |
| GPQA Diamond | — | 41.9% |
| MMLU-Pro | — | 61% |
| GPQA (HELM) | — | 39.2% |
Multimodal GLM-4.6V leads
GLM-4.6V: 34.8 (#90), Mistral Small 3.1: 33.2 (#99)
| Benchmark | GLM-4.6V | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | 1164 | 1136 |
Multilingual GLM-4.6V leads
GLM-4.6V: 48.6 (#141), Mistral Small 3.1: 41.2 (#209)
| Benchmark | GLM-4.6V | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1359 | 1255 |
| LMArena Chinese | 1425 | 1253 |
| LMArena Russian | 1340 | 1263 |
| LMArena French | — | 1273 |
| LMArena German | — | 1266 |
| LMArena Japanese | — | 1208 |
| LMArena Korean | — | 1206 |
| LMArena Spanish | — | 1283 |
Instruction Following GLM-4.6V leads
GLM-4.6V: 71.4 (#151), Mistral Small 3.1: 63.6 (#230)
| Benchmark | GLM-4.6V | Mistral Small 3.1 |
|---|---|---|
| LMArena Instruction Following | 1352 | 1264 |
| IFEval | — | 75% |
Long Context GLM-4.6V leads
GLM-4.6V: 41.3 (#143), Mistral Small 3.1: 39.5 (#178)
| Benchmark | GLM-4.6V | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1358 | 1299 |
Writing & Preference GLM-4.6V leads
GLM-4.6V: 56.6 (#137), Mistral Small 3.1: 37.0 (#259)
| Benchmark | GLM-4.6V | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1377 | 1277 |
| LMArena Creative Writing | 1347 | 1253 |
| LMArena Multi-Turn | 1360 | 1270 |
| EQ-Bench Creative Writing | — | 761 |
| WildBench | — | 78.8% |
Frequently asked questions
Is GLM-4.6V better than Mistral Small 3.1?
GLM-4.6V is the stronger model overall, scoring 41.3 to 31.7 on the Noometry Index.
Which is cheaper, GLM-4.6V 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-4.6V lists at $0.30 and $0.90.
Is GLM-4.6V or Mistral Small 3.1 better for coding?
GLM-4.6V scores higher on coding benchmarks: 40.9 versus 38.3 in the Noometry coding category.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do GLM-4.6V and Mistral Small 3.1 share?
12 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Mistral Small 3.1 has 28.