Model comparison
GLM-4.5V vs Llama 3.2 90B
GLM-4.5V is the stronger model overall, scoring 39.8 to 27.5 on the Noometry Index.
Last verified . 1 shared benchmarks.
MetaSummary
- They share 1 benchmark with published results for both. GLM-4.5V scores higher in 4 categories and Llama 3.2 90B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.5V leads 37.4 to 11.1.
Side by side
| GLM-4.5V | Llama 3.2 90B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 39.8 | 27.5 |
| Released | 2025-08-11 | 2024-09-24 |
| Weights | Open | Open |
| Context window | 64K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $1.80 | — |
| Results tracked | 15 | 9 |
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Category by category
Coding Not comparable
GLM-4.5V: 39.5 (#155), Llama 3.2 90B: —
| Benchmark | GLM-4.5V | Llama 3.2 90B |
|---|---|---|
| LMArena Coding | 1347 | — |
Agentic & Tool Use Not comparable
GLM-4.5V: —, Llama 3.2 90B: 30.0 (#80)
| Benchmark | GLM-4.5V | Llama 3.2 90B |
|---|---|---|
| BALROG | — | 27.3% |
Reasoning GLM-4.5V leads
GLM-4.5V: 27.4 (#119), Llama 3.2 90B: 21.7 (#217)
| Benchmark | GLM-4.5V | Llama 3.2 90B |
|---|---|---|
| Kagi LLM Benchmark | 59.8% | — |
| EnigmaEval | — | 0.4% |
| LMArena Hard Prompts | 1334 | — |
| Epoch Capabilities Index | — | 125.5 |
Math GLM-4.5V leads
GLM-4.5V: 37.4 (#159), Llama 3.2 90B: 11.1 (#308)
| Benchmark | GLM-4.5V | Llama 3.2 90B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.6% |
| LMArena Math | 1354 | — |
| MATH Level 5 | — | 39.4% |
Knowledge GLM-4.5V leads
GLM-4.5V: 37.5 (#156), Llama 3.2 90B: 21.7 (#274)
| Benchmark | GLM-4.5V | Llama 3.2 90B |
|---|---|---|
| GPQA Diamond | — | 41% |
| LMArena Expert | 1353 | — |
| MMLU | — | 80.3% |
Multimodal GLM-4.5V leads
GLM-4.5V: 34.3 (#92), Llama 3.2 90B: 25.4 (#124)
| Benchmark | GLM-4.5V | Llama 3.2 90B |
|---|---|---|
| LMArena Vision | 1154 | 1000 |
| GeoBench | — | 52% |
Multilingual Not comparable
GLM-4.5V: 44.6 (#177), Llama 3.2 90B: —
| Benchmark | GLM-4.5V | Llama 3.2 90B |
|---|---|---|
| LMArena Non-English | 1303 | — |
| LMArena Chinese | 1337 | — |
| LMArena Russian | 1298 | — |
| LMArena Spanish | 1336 | — |
Instruction Following Not comparable
GLM-4.5V: 69.2 (#175), Llama 3.2 90B: —
| Benchmark | GLM-4.5V | Llama 3.2 90B |
|---|---|---|
| LMArena Instruction Following | 1311 | — |
Long Context Not comparable
GLM-4.5V: 39.6 (#171), Llama 3.2 90B: —
| Benchmark | GLM-4.5V | Llama 3.2 90B |
|---|---|---|
| LMArena Longer Query | 1304 | — |
Writing & Preference Not comparable
GLM-4.5V: 52.5 (#170), Llama 3.2 90B: —
| Benchmark | GLM-4.5V | Llama 3.2 90B |
|---|---|---|
| LMArena Text | 1333 | — |
| LMArena Creative Writing | 1295 | — |
| LMArena Multi-Turn | 1332 | — |
Frequently asked questions
Is GLM-4.5V better than Llama 3.2 90B?
GLM-4.5V is the stronger model overall, scoring 39.8 to 27.5 on the Noometry Index.
How many benchmarks do GLM-4.5V and Llama 3.2 90B share?
1 benchmark has published results for both models. GLM-4.5V has 15 scored results on Noometry and Llama 3.2 90B has 9.