Model comparison
GLM-4.5-Air vs OLMo 2 Furious 13B
GLM-4.5-Air is the stronger model overall, scoring 38.9 to 29.7 on the Noometry Index.
Last verified . 5 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 5 benchmarks with published results for both. GLM-4.5-Air scores higher in 6 categories and OLMo 2 Furious 13B in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.5-Air leads 35.0 to 18.3.
- The biggest single-benchmark swing is MMLU-Pro: 76.2% for GLM-4.5-Air and 31% for OLMo 2 Furious 13B.
Side by side
| GLM-4.5-Air | OLMo 2 Furious 13B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Allen Institute for AI (Ai2) |
| Noometry Index | 38.9 | 29.7 |
| Released | 2025-07-20 | 2024-12-31 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.10 | — |
| Results tracked | 27 | 12 |
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Category by category
Coding GLM-4.5-Air leads
GLM-4.5-Air: 33.3 (#259), OLMo 2 Furious 13B: 28.6 (#313)
| Benchmark | GLM-4.5-Air | OLMo 2 Furious 13B |
|---|---|---|
| GSO | 2.9% | — |
| LiveBench Coding | — | 10.4% |
| LMArena Coding | 1397 | — |
Reasoning GLM-4.5-Air leads
GLM-4.5-Air: 24.1 (#166), OLMo 2 Furious 13B: 15.5 (#314)
| Benchmark | GLM-4.5-Air | OLMo 2 Furious 13B |
|---|---|---|
| Kagi LLM Benchmark | 43% | — |
| LiveBench Reasoning | — | 16.3% |
| LMArena Hard Prompts | 1379 | — |
| LiveBench Data Analysis | — | 20.6% |
| ForecastBench | 59.2 | — |
| LiveBench | — | 22.1% |
Math GLM-4.5-Air leads
GLM-4.5-Air: 36.2 (#170), OLMo 2 Furious 13B: 23.1 (#273)
| Benchmark | GLM-4.5-Air | OLMo 2 Furious 13B |
|---|---|---|
| Omni-MATH | 39.1% | 15.6% |
| LiveBench Math | — | 13.6% |
| LMArena Math | 1396 | — |
Knowledge GLM-4.5-Air leads
GLM-4.5-Air: 35.0 (#191), OLMo 2 Furious 13B: 18.3 (#283)
| Benchmark | GLM-4.5-Air | OLMo 2 Furious 13B |
|---|---|---|
| MMLU-Pro | 76.2% | 31% |
| GPQA (HELM) | 59.4% | 31.6% |
| Humanity's Last Exam | 8.1% | — |
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1370 | — |
Multilingual Not comparable
GLM-4.5-Air: 49.1 (#135), OLMo 2 Furious 13B: —
| Benchmark | GLM-4.5-Air | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Non-English | 1366 | — |
| LMArena Chinese | 1426 | — |
| LMArena French | 1399 | — |
| LMArena German | 1377 | — |
| LMArena Japanese | 1348 | — |
| LMArena Korean | 1308 | — |
| LMArena Russian | 1373 | — |
| LMArena Spanish | 1386 | — |
Instruction Following GLM-4.5-Air leads
GLM-4.5-Air: 69.6 (#171), OLMo 2 Furious 13B: 60.9 (#248)
| Benchmark | GLM-4.5-Air | OLMo 2 Furious 13B |
|---|---|---|
| IFEval | 81.2% | 73% |
| LiveBench Instruction Following | — | 60.6% |
| LMArena Instruction Following | 1354 | — |
Long Context Not comparable
GLM-4.5-Air: 41.6 (#135), OLMo 2 Furious 13B: —
| Benchmark | GLM-4.5-Air | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Longer Query | 1366 | — |
Writing & Preference GLM-4.5-Air leads
GLM-4.5-Air: 55.9 (#139), OLMo 2 Furious 13B: 42.9 (#230)
| Benchmark | GLM-4.5-Air | OLMo 2 Furious 13B |
|---|---|---|
| WildBench | 78.9% | 68.9% |
| LMArena Text | 1384 | — |
| LMArena Creative Writing | 1343 | — |
| LMArena Multi-Turn | 1371 | — |
| LiveBench Language | — | 11.2% |
Frequently asked questions
Is GLM-4.5-Air better than OLMo 2 Furious 13B?
GLM-4.5-Air is the stronger model overall, scoring 38.9 to 29.7 on the Noometry Index.
Is GLM-4.5-Air or OLMo 2 Furious 13B better for coding?
GLM-4.5-Air scores higher on coding benchmarks: 33.3 versus 28.6 in the Noometry coding category.
How many benchmarks do GLM-4.5-Air and OLMo 2 Furious 13B share?
5 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and OLMo 2 Furious 13B has 12.