Model comparison
GLM-4.5V vs Mistral Large 4
Mistral Large 4 is the stronger model overall, scoring 43.1 to 39.8 on the Noometry Index.
Last verified . 12 shared benchmarks.
Mistral AISummary
- They share 12 benchmarks with published results for both. GLM-4.5V scores higher in 2 categories and Mistral Large 4 in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where Mistral Large 4 leads 48.6 to 39.5.
- GLM-4.5V is cheaper at $0.60 / $1.80 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
- Mistral Large 4 accepts more context: 1.05M tokens versus 64K.
- GLM-4.5V has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5V | Mistral Large 4 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 39.8 | 43.1 |
| Released | 2025-08-11 | 2026-10-06 |
| Weights | Open | Proprietary |
| Context window | 64K | 1.05M |
| Max output | 16K | 262K |
| Input $ / M tokens | $0.60 | $0.68 |
| Output $ / M tokens | $1.80 | $2.09 |
| Results tracked | 15 | 15 |
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Category by category
Coding Mistral Large 4 leads
GLM-4.5V: 39.5 (#155), Mistral Large 4: 48.6 (#57)
| Benchmark | GLM-4.5V | Mistral Large 4 |
|---|---|---|
| LMArena Coding | 1347 | 1475 |
| LMArena WebDev | — | 1541 |
Reasoning GLM-4.5V leads
GLM-4.5V: 27.4 (#119), Mistral Large 4: 22.5 (#192)
| Benchmark | GLM-4.5V | Mistral Large 4 |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1444 |
| Kagi LLM Benchmark | 59.8% | — |
| NYT Connections (extended) | — | 27.4% |
Math Mistral Large 4 leads
GLM-4.5V: 37.4 (#159), Mistral Large 4: 40.4 (#91)
| Benchmark | GLM-4.5V | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1354 | 1488 |
Knowledge Too close to call
GLM-4.5V: 37.5 (#156), Mistral Large 4: 36.6 (#166)
| Benchmark | GLM-4.5V | Mistral Large 4 |
|---|---|---|
| LMArena Expert | 1353 | 1447 |
| SimpleQA Verified | — | 20% |
Multimodal Not comparable
GLM-4.5V: 34.3 (#92), Mistral Large 4: —
| Benchmark | GLM-4.5V | Mistral Large 4 |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual Mistral Large 4 leads
GLM-4.5V: 44.6 (#177), Mistral Large 4: 52.6 (#82)
| Benchmark | GLM-4.5V | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1303 | 1415 |
| LMArena Chinese | 1337 | 1491 |
| LMArena Russian | 1298 | 1414 |
| LMArena Spanish | 1336 | — |
Instruction Following Mistral Large 4 leads
GLM-4.5V: 69.2 (#175), Mistral Large 4: 75.0 (#76)
| Benchmark | GLM-4.5V | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1311 | 1424 |
Long Context Mistral Large 4 leads
GLM-4.5V: 39.6 (#171), Mistral Large 4: 43.6 (#89)
| Benchmark | GLM-4.5V | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1304 | 1429 |
Writing & Preference Mistral Large 4 leads
GLM-4.5V: 52.5 (#170), Mistral Large 4: 60.4 (#97)
| Benchmark | GLM-4.5V | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1333 | 1427 |
| LMArena Creative Writing | 1295 | 1361 |
| LMArena Multi-Turn | 1332 | 1424 |
Frequently asked questions
Is GLM-4.5V better than Mistral Large 4?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 39.8 on the Noometry Index.
Which is cheaper, GLM-4.5V or Mistral Large 4?
GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.
Is GLM-4.5V or Mistral Large 4 better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 39.5 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 64K.
How many benchmarks do GLM-4.5V and Mistral Large 4 share?
12 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Mistral Large 4 has 15.