Model comparison
GLM-4.5-Air vs Olmo 3.1 32b Instruct
GLM-4.5-Air and Olmo 3.1 32b Instruct score almost the same on the Noometry Index (38.7 vs 38.8), so choose on price, context window or the category you care about most.
Last verified . 16 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 16 benchmarks with published results for both. GLM-4.5-Air scores higher in 5 categories and Olmo 3.1 32b Instruct in 3 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.5-Air leads 49.4 to 42.8.
Side by side
| GLM-4.5-Air | Olmo 3.1 32b Instruct | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Allen Institute for AI (Ai2) |
| Noometry Index | 38.7 | 38.8 |
| Released | 2025-07-20 | — |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.10 | — |
| Results tracked | 27 | 16 |
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Category by category
Coding Olmo 3.1 32b Instruct leads
GLM-4.5-Air: 34.5 (#225), Olmo 3.1 32b Instruct: 38.9 (#154)
| Benchmark | GLM-4.5-Air | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Coding | 1397 | 1346 |
| GSO | 2.9% | — |
Reasoning Olmo 3.1 32b Instruct leads
GLM-4.5-Air: 23.3 (#166), Olmo 3.1 32b Instruct: 25.4 (#131)
| Benchmark | GLM-4.5-Air | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1379 | 1322 |
| Kagi LLM Benchmark | 43% | — |
| ForecastBench | 59.2 | — |
Math Too close to call
GLM-4.5-Air: 33.8 (#166), Olmo 3.1 32b Instruct: 33.6 (#169)
| Benchmark | GLM-4.5-Air | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Math | 1396 | 1305 |
| Omni-MATH | 39.1% | — |
Knowledge Too close to call
GLM-4.5-Air: 34.6 (#184), Olmo 3.1 32b Instruct: 35.4 (#175)
| Benchmark | GLM-4.5-Air | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Expert | 1370 | 1307 |
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 59.4% | — |
Multilingual GLM-4.5-Air leads
GLM-4.5-Air: 49.4 (#130), Olmo 3.1 32b Instruct: 42.8 (#185)
| Benchmark | GLM-4.5-Air | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Non-English | 1366 | 1275 |
| LMArena Chinese | 1427 | 1304 |
| LMArena French | 1399 | 1328 |
| LMArena German | 1376 | 1283 |
| LMArena Korean | 1306 | 1206 |
| LMArena Russian | 1373 | 1268 |
| LMArena Spanish | 1385 | 1337 |
| LMArena Japanese | 1348 | — |
Instruction Following GLM-4.5-Air leads
GLM-4.5-Air: 69.8 (#165), Olmo 3.1 32b Instruct: 68.8 (#182)
| Benchmark | GLM-4.5-Air | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1353 | 1298 |
| IFEval | 81.2% | — |
Long Context GLM-4.5-Air leads
GLM-4.5-Air: 41.6 (#130), Olmo 3.1 32b Instruct: 39.9 (#161)
| Benchmark | GLM-4.5-Air | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1367 | 1312 |
Writing & Preference GLM-4.5-Air leads
GLM-4.5-Air: 56.1 (#134), Olmo 3.1 32b Instruct: 50.4 (#179)
| Benchmark | GLM-4.5-Air | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Text | 1384 | 1311 |
| LMArena Creative Writing | 1343 | 1264 |
| LMArena Multi-Turn | 1371 | 1309 |
| WildBench | 78.9% | — |
Frequently asked questions
Is GLM-4.5-Air better than Olmo 3.1 32b Instruct?
GLM-4.5-Air and Olmo 3.1 32b Instruct score almost the same on the Noometry Index (38.7 vs 38.8), so choose on price, context window or the category you care about most.
Is GLM-4.5-Air or Olmo 3.1 32b Instruct better for coding?
Olmo 3.1 32b Instruct scores higher on coding benchmarks: 38.9 versus 34.5 in the Noometry coding category.
How many benchmarks do GLM-4.5-Air and Olmo 3.1 32b Instruct share?
16 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Olmo 3.1 32b Instruct has 16.