Model comparison
GLM-4.5V vs Olmo 2 0325 32b Instruct
GLM-4.5V is the stronger model overall, scoring 39.8 to 32.7 on the Noometry Index.
Last verified . 11 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 11 benchmarks with published results for both. GLM-4.5V scores higher in 8 categories and Olmo 2 0325 32b Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.5V leads 37.5 to 19.5.
Side by side
| GLM-4.5V | Olmo 2 0325 32b Instruct | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Allen Institute for AI (Ai2) |
| Noometry Index | 39.8 | 32.7 |
| Released | 2025-08-11 | — |
| Weights | Open | Open |
| Context window | 64K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $1.80 | — |
| Results tracked | 15 | 16 |
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Category by category
Coding GLM-4.5V leads
GLM-4.5V: 39.5 (#155), Olmo 2 0325 32b Instruct: 35.2 (#227)
| Benchmark | GLM-4.5V | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Coding | 1347 | 1210 |
Reasoning GLM-4.5V leads
GLM-4.5V: 27.4 (#119), Olmo 2 0325 32b Instruct: 23.6 (#175)
| Benchmark | GLM-4.5V | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1208 |
| Kagi LLM Benchmark | 59.8% | — |
Math GLM-4.5V leads
GLM-4.5V: 37.4 (#159), Olmo 2 0325 32b Instruct: 26.8 (#255)
| Benchmark | GLM-4.5V | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Math | 1354 | 1208 |
| Omni-MATH | — | 16.1% |
Knowledge GLM-4.5V leads
GLM-4.5V: 37.5 (#156), Olmo 2 0325 32b Instruct: 19.5 (#279)
| Benchmark | GLM-4.5V | Olmo 2 0325 32b Instruct |
|---|---|---|
| MMLU-Pro | — | 41.4% |
| GPQA (HELM) | — | 28.7% |
| LMArena Expert | 1353 | — |
Multimodal Not comparable
GLM-4.5V: 34.3 (#92), Olmo 2 0325 32b Instruct: —
| Benchmark | GLM-4.5V | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual GLM-4.5V leads
GLM-4.5V: 44.6 (#177), Olmo 2 0325 32b Instruct: 34.8 (#248)
| Benchmark | GLM-4.5V | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | 1303 | 1160 |
| LMArena Chinese | 1337 | 1192 |
| LMArena Russian | 1298 | 1187 |
| LMArena Spanish | 1336 | — |
Instruction Following GLM-4.5V leads
GLM-4.5V: 69.2 (#175), Olmo 2 0325 32b Instruct: 61.5 (#244)
| Benchmark | GLM-4.5V | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1311 | 1186 |
| IFEval | — | 78% |
Long Context GLM-4.5V leads
GLM-4.5V: 39.6 (#171), Olmo 2 0325 32b Instruct: 36.2 (#234)
| Benchmark | GLM-4.5V | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1304 | 1194 |
Writing & Preference GLM-4.5V leads
GLM-4.5V: 52.5 (#170), Olmo 2 0325 32b Instruct: 42.1 (#236)
| Benchmark | GLM-4.5V | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | 1333 | 1218 |
| LMArena Creative Writing | 1295 | 1199 |
| LMArena Multi-Turn | 1332 | 1221 |
| WildBench | — | 73.4% |
Frequently asked questions
Is GLM-4.5V better than Olmo 2 0325 32b Instruct?
GLM-4.5V is the stronger model overall, scoring 39.8 to 32.7 on the Noometry Index.
Is GLM-4.5V or Olmo 2 0325 32b Instruct better for coding?
GLM-4.5V scores higher on coding benchmarks: 39.5 versus 35.2 in the Noometry coding category.
How many benchmarks do GLM-4.5V and Olmo 2 0325 32b Instruct share?
11 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.