Model comparison
GLM-4.6V vs Mistral Medium
GLM-4.6V is the stronger model overall, scoring 41.3 to 36.3 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 3 categories and Mistral Medium in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.6V leads 38.0 to 25.0.
- GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
- Mistral Medium accepts more context: 262K tokens versus 128K.
Side by side
| GLM-4.6V | Mistral Medium | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 41.3 | 36.3 |
| Released | 2025-12-08 | 2023-12-11 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 33K | 262K |
| Input $ / M tokens | $0.30 | $1.50 |
| Output $ / M tokens | $0.90 | $7.50 |
| Results tracked | 12 | 36 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-4.6V leads
GLM-4.6V: 40.9 (#128), Mistral Medium: 34.2 (#243)
| Benchmark | GLM-4.6V | Mistral Medium |
|---|---|---|
| LMArena Coding | 1390 | 1434 |
| FrontierCode | — | 8% |
| SciCode | — | 40.2% |
| WeirdML | — | 43.7% |
| ALE-Bench | — | 763.98 |
Agentic & Tool Use Not comparable
GLM-4.6V: —, Mistral Medium: 28.3 (#90)
| Benchmark | GLM-4.6V | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |
Reasoning GLM-4.6V leads
GLM-4.6V: 27.6 (#115), Mistral Medium: 24.0 (#167)
| Benchmark | GLM-4.6V | Mistral Medium |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1426 |
| Kagi LLM Benchmark | — | 50% |
| CritPt | — | 0% |
| DTBench | — | 75.5% |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
Math Not comparable
GLM-4.6V: —, Mistral Medium: 28.1 (#245)
| Benchmark | GLM-4.6V | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 32.2% |
| ProofBench | — | 9% |
| LMArena Math | — | 1408 |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge GLM-4.6V leads
GLM-4.6V: 38.0 (#149), Mistral Medium: 25.0 (#265)
| Benchmark | GLM-4.6V | Mistral Medium |
|---|---|---|
| LMArena Expert | 1371 | 1408 |
| GPQA Diamond | — | 59.5% |
| Humanity's Last Exam | — | 4.5% |
| Vectara Hallucination Rate | — | 22.7% |
Multimodal Too close to call
GLM-4.6V: 34.8 (#90), Mistral Medium: 35.3 (#88)
| Benchmark | GLM-4.6V | Mistral Medium |
|---|---|---|
| LMArena Vision | 1164 | 1172 |
Multilingual Mistral Medium leads
GLM-4.6V: 48.6 (#141), Mistral Medium: 52.1 (#91)
| Benchmark | GLM-4.6V | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1359 | 1408 |
| LMArena Chinese | 1425 | 1447 |
| LMArena Russian | 1340 | 1411 |
| LMArena French | — | 1459 |
| LMArena German | — | 1432 |
| LMArena Japanese | — | 1378 |
| LMArena Korean | — | 1380 |
| LMArena Spanish | — | 1433 |
Instruction Following Mistral Medium leads
GLM-4.6V: 71.4 (#151), Mistral Medium: 73.7 (#116)
| Benchmark | GLM-4.6V | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1352 | 1398 |
Long Context Mistral Medium leads
GLM-4.6V: 41.3 (#143), Mistral Medium: 42.9 (#114)
| Benchmark | GLM-4.6V | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1358 | 1406 |
Writing & Preference Mistral Medium leads
GLM-4.6V: 56.6 (#137), Mistral Medium: 60.0 (#103)
| Benchmark | GLM-4.6V | Mistral Medium |
|---|---|---|
| LMArena Text | 1377 | 1424 |
| LMArena Creative Writing | 1347 | 1391 |
| LMArena Multi-Turn | 1360 | 1418 |
| Short-Story Creative Writing | — | 77.3% |
Frequently asked questions
Is GLM-4.6V better than Mistral Medium?
GLM-4.6V is the stronger model overall, scoring 41.3 to 36.3 on the Noometry Index.
Which is cheaper, GLM-4.6V or Mistral Medium?
GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Mistral Medium lists at $1.50 and $7.50.
Is GLM-4.6V or Mistral Medium better for coding?
GLM-4.6V scores higher on coding benchmarks: 40.9 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
Mistral Medium does, with 262K tokens against 128K.
How many benchmarks do GLM-4.6V and Mistral Medium share?
12 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Mistral Medium has 36.