Model comparison
GLM-4.5 vs OLMo 2 Furious 13B
GLM-4.5 is the stronger model overall, scoring 41.4 to 29.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- The widest gap is in knowledge, where GLM-4.5 leads 35.5 to 18.0.
Side by side
| GLM-4.5 | OLMo 2 Furious 13B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Allen Institute for AI (Ai2) |
| Noometry Index | 41.4 | 29.2 |
| Released | 2025-07-27 | 2024-12-31 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 27 | 12 |
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Category by category
Coding GLM-4.5 leads
GLM-4.5: 41.1 (#121), OLMo 2 Furious 13B: 28.1 (#309)
| Benchmark | GLM-4.5 | OLMo 2 Furious 13B |
|---|---|---|
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| LiveBench Coding | — | 10.4% |
| LMArena Coding | 1434 | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 27.7 (#99), OLMo 2 Furious 13B: 14.8 (#312)
| Benchmark | GLM-4.5 | OLMo 2 Furious 13B |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | — |
| LiveBench Reasoning | — | 16.3% |
| LMArena Hard Prompts | 1430 | — |
| LiveBench Data Analysis | — | 20.6% |
| LiveBench | — | 22.1% |
Math GLM-4.5 leads
GLM-4.5: 36.3 (#119), OLMo 2 Furious 13B: 21.3 (#270)
| Benchmark | GLM-4.5 | OLMo 2 Furious 13B |
|---|---|---|
| Omni-MATH | — | 15.6% |
| LiveBench Math | — | 13.6% |
| LMArena Math | 1427 | — |
Knowledge GLM-4.5 leads
GLM-4.5: 35.5 (#172), OLMo 2 Furious 13B: 18.0 (#278)
| Benchmark | GLM-4.5 | OLMo 2 Furious 13B |
|---|---|---|
| Humanity's Last Exam | 8.3% | — |
| MMLU-Pro | — | 31% |
| Confabulations | 11.3% | — |
| GPQA (HELM) | — | 31.6% |
| LMArena Expert | 1433 | — |
Multilingual Not comparable
GLM-4.5: 53.0 (#74), OLMo 2 Furious 13B: —
| Benchmark | GLM-4.5 | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Non-English | 1417 | — |
| LMArena Chinese | 1465 | — |
| LMArena French | 1423 | — |
| LMArena German | 1406 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1382 | — |
| LMArena Russian | 1414 | — |
| LMArena Spanish | 1454 | — |
Instruction Following GLM-4.5 leads
GLM-4.5: 74.3 (#100), OLMo 2 Furious 13B: 61.1 (#243)
| Benchmark | GLM-4.5 | OLMo 2 Furious 13B |
|---|---|---|
| LiveBench Instruction Following | — | 60.6% |
| IFEval | — | 73% |
| LMArena Instruction Following | 1405 | — |
Long Context Not comparable
GLM-4.5: 38.2 (#196), OLMo 2 Furious 13B: —
| Benchmark | GLM-4.5 | OLMo 2 Furious 13B |
|---|---|---|
| Fiction.LiveBench | 58.3% | — |
| LMArena Longer Query | 1413 | — |
Writing & Preference GLM-4.5 leads
GLM-4.5: 57.7 (#121), OLMo 2 Furious 13B: 43.0 (#226)
| Benchmark | GLM-4.5 | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Text | 1430 | — |
| LMArena Creative Writing | 1395 | — |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
| WildBench | — | 68.9% |
| LMArena Multi-Turn | 1415 | — |
| LiveBench Language | — | 11.2% |
Frequently asked questions
Is GLM-4.5 better than OLMo 2 Furious 13B?
GLM-4.5 is the stronger model overall, scoring 41.4 to 29.2 on the Noometry Index.
Is GLM-4.5 or OLMo 2 Furious 13B better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.1 versus 28.1 in the Noometry coding category.
How many benchmarks do GLM-4.5 and OLMo 2 Furious 13B share?
0 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and OLMo 2 Furious 13B has 12.