Model comparison
GLM-5.2 vs OLMo 2 Furious 13B
GLM-5.2 is the stronger model overall, scoring 50.9 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-5.2 leads 57.1 to 18.0.
Side by side
| GLM-5.2 | OLMo 2 Furious 13B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Allen Institute for AI (Ai2) |
| Noometry Index | 50.9 | 29.2 |
| Released | 2026-06-13 | 2024-12-31 |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.40 | — |
| Output $ / M tokens | $4.40 | — |
| Results tracked | 50 | 12 |
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Category by category
Coding GLM-5.2 leads
GLM-5.2: 50.9 (#37), OLMo 2 Furious 13B: 28.1 (#309)
| Benchmark | GLM-5.2 | OLMo 2 Furious 13B |
|---|---|---|
| SWE-bench Verified | 78.7% | — |
| DeepSWE | 43.8% | — |
| FrontierCode | 24.5% | — |
| LMArena WebDev | 1604 | — |
| SciCode | 50.5% | — |
| WeirdML | 70.1% | — |
| LiveBench Coding | — | 10.4% |
| LMArena Coding | 1484 | — |
| ALE-Bench | 1,047 | — |
Agentic & Tool Use Not comparable
GLM-5.2: 31.6 (#63), OLMo 2 Furious 13B: —
| Benchmark | GLM-5.2 | OLMo 2 Furious 13B |
|---|---|---|
| τ²-bench Banking | 37.1% | — |
| PostTrainBench | 31.7% | — |
| GBAEval | 0% | — |
| Vending-Bench 2 | 8,314 | — |
Reasoning GLM-5.2 leads
GLM-5.2: 42.1 (#46), OLMo 2 Furious 13B: 14.8 (#312)
| Benchmark | GLM-5.2 | OLMo 2 Furious 13B |
|---|---|---|
| ARC-AGI-2 | 22.8% | — |
| SimpleBench | 58.8% | — |
| Kagi LLM Benchmark | 62.6% | — |
| NYT Connections (extended) | 74.3% | — |
| ARC-AGI-1 | 77% | — |
| CritPt | 20.9% | — |
| Chess Puzzles | 21% | — |
| EBR-Bench | 9.5% | — |
| LiveBench Reasoning | — | 16.3% |
| LMArena Hard Prompts | 1480 | — |
| Mystery Game Puzzles | 19% | — |
| DTBench | 93.6% | — |
| LiveBench Data Analysis | — | 20.6% |
| LMCA | 45.8% | — |
| Surface Evolver Bench | 55.6% | — |
| Epoch Capabilities Index | 151.76 | — |
| LiveBench | — | 22.1% |
Math GLM-5.2 leads
GLM-5.2: 55.4 (#35), OLMo 2 Furious 13B: 21.3 (#270)
| Benchmark | GLM-5.2 | OLMo 2 Furious 13B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 59.2% | — |
| FrontierMath Tier 4 | 29.3% | — |
| MathArena Final-Answer Competitions | 67.6% | — |
| OTIS Mock AIME 2024-2025 | 86.4% | — |
| ProofBench | 35% | — |
| Omni-MATH | — | 15.6% |
| LiveBench Math | — | 13.6% |
| LMArena Math | 1482 | — |
Knowledge GLM-5.2 leads
GLM-5.2: 57.1 (#36), OLMo 2 Furious 13B: 18.0 (#278)
| Benchmark | GLM-5.2 | OLMo 2 Furious 13B |
|---|---|---|
| GPQA Diamond | 91.9% | — |
| SimpleQA Verified | 34.2% | — |
| MMLU-Pro | — | 31% |
| GPQA (HELM) | — | 31.6% |
| LMArena Expert | 1484 | — |
Multilingual Not comparable
GLM-5.2: 56.0 (#25), OLMo 2 Furious 13B: —
| Benchmark | GLM-5.2 | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Non-English | 1459 | — |
| LMArena Chinese | 1518 | — |
| LMArena French | 1476 | — |
| LMArena German | 1470 | — |
| LMArena Japanese | 1451 | — |
| LMArena Korean | 1445 | — |
| LMArena Russian | 1467 | — |
| LMArena Spanish | 1477 | — |
Instruction Following GLM-5.2 leads
GLM-5.2: 77.1 (#32), OLMo 2 Furious 13B: 61.1 (#243)
| Benchmark | GLM-5.2 | OLMo 2 Furious 13B |
|---|---|---|
| LiveBench Instruction Following | — | 60.6% |
| IFEval | — | 73% |
| LMArena Instruction Following | 1465 | — |
Long Context Not comparable
GLM-5.2: 45.3 (#43), OLMo 2 Furious 13B: —
| Benchmark | GLM-5.2 | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Longer Query | 1479 | — |
Writing & Preference GLM-5.2 leads
GLM-5.2: 70.7 (#20), OLMo 2 Furious 13B: 43.0 (#226)
| Benchmark | GLM-5.2 | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Text | 1470 | — |
| LMArena Creative Writing | 1465 | — |
| EQ-Bench Creative Writing | 1757 | — |
| WildBench | — | 68.9% |
| EQ-Bench 4 | 1222 | — |
| LMArena Multi-Turn | 1468 | — |
| LiveBench Language | — | 11.2% |
Frequently asked questions
Is GLM-5.2 better than OLMo 2 Furious 13B?
GLM-5.2 is the stronger model overall, scoring 50.9 to 29.2 on the Noometry Index.
Is GLM-5.2 or OLMo 2 Furious 13B better for coding?
GLM-5.2 scores higher on coding benchmarks: 50.9 versus 28.1 in the Noometry coding category.
How many benchmarks do GLM-5.2 and OLMo 2 Furious 13B share?
0 benchmarks have published results for both models. GLM-5.2 has 50 scored results on Noometry and OLMo 2 Furious 13B has 12.