Model comparison
GLM-5.1 vs OLMo 2 Furious 13B
GLM-5.1 is the stronger model overall, scoring 47.6 to 29.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in knowledge, where GLM-5.1 leads 55.0 to 18.0.
Side by side
| GLM-5.1 | OLMo 2 Furious 13B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Allen Institute for AI (Ai2) |
| Noometry Index | 47.6 | 29.2 |
| Released | 2026-04-07 | 2024-12-31 |
| Weights | Open | Open |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.40 | — |
| Output $ / M tokens | $4.40 | — |
| Results tracked | 41 | 12 |
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Category by category
Coding GLM-5.1 leads
GLM-5.1: 48.5 (#52), OLMo 2 Furious 13B: 28.1 (#309)
| Benchmark | GLM-5.1 | OLMo 2 Furious 13B |
|---|---|---|
| SWE-bench Verified | 74.2% | — |
| LMArena WebDev | 1509 | — |
| SciCode | 43.8% | — |
| WeirdML | 57.1% | — |
| LiveBench Coding | — | 10.4% |
| LMArena Coding | 1486 | — |
| ALE-Bench | 887.1 | — |
Agentic & Tool Use Not comparable
GLM-5.1: 24.8 (#106), OLMo 2 Furious 13B: —
| Benchmark | GLM-5.1 | OLMo 2 Furious 13B |
|---|---|---|
| APEX-Agents | 40.9% | — |
| ExploitBench | 18.1% | — |
| GBAEval | 0% | — |
| Vending-Bench 2 | 5,634 | — |
Reasoning GLM-5.1 leads
GLM-5.1: 38.2 (#57), OLMo 2 Furious 13B: 14.8 (#312)
| Benchmark | GLM-5.1 | OLMo 2 Furious 13B |
|---|---|---|
| SimpleBench | 55.1% | — |
| NYT Connections (extended) | 77.7% | — |
| CritPt | 4.6% | — |
| Chess Puzzles | 19% | — |
| Thematic Generalization | 69.8% | — |
| LiveBench Reasoning | — | 16.3% |
| LMArena Hard Prompts | 1472 | — |
| LiveBench Data Analysis | — | 20.6% |
| Epoch Capabilities Index | 149.86 | — |
| LiveBench | — | 22.1% |
Math GLM-5.1 leads
GLM-5.1: 49.0 (#48), OLMo 2 Furious 13B: 21.3 (#270)
| Benchmark | GLM-5.1 | OLMo 2 Furious 13B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 36.8% | — |
| MathArena Final-Answer Competitions | 67.1% | — |
| OTIS Mock AIME 2024-2025 | 93.3% | — |
| ProofBench | 22.2% | — |
| Omni-MATH | — | 15.6% |
| LiveBench Math | — | 13.6% |
| LMArena Math | 1472 | — |
| FrontierMath (Feb 2025 set) | 33.4% | — |
| FrontierMath Tier 4 (v1) | 12.5% | — |
Knowledge GLM-5.1 leads
GLM-5.1: 55.0 (#45), OLMo 2 Furious 13B: 18.0 (#278)
| Benchmark | GLM-5.1 | OLMo 2 Furious 13B |
|---|---|---|
| GPQA Diamond | 89.9% | — |
| SimpleQA Verified | 34% | — |
| MMLU-Pro | — | 31% |
| GPQA (HELM) | — | 31.6% |
| LMArena Expert | 1477 | — |
Multilingual Not comparable
GLM-5.1: 55.2 (#34), OLMo 2 Furious 13B: —
| Benchmark | GLM-5.1 | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Non-English | 1448 | — |
| LMArena Chinese | 1516 | — |
| LMArena French | 1478 | — |
| LMArena German | 1466 | — |
| LMArena Japanese | 1436 | — |
| LMArena Korean | 1423 | — |
| LMArena Russian | 1453 | — |
| LMArena Spanish | 1467 | — |
Instruction Following GLM-5.1 leads
GLM-5.1: 76.5 (#41), OLMo 2 Furious 13B: 61.1 (#243)
| Benchmark | GLM-5.1 | OLMo 2 Furious 13B |
|---|---|---|
| LiveBench Instruction Following | — | 60.6% |
| IFEval | — | 73% |
| LMArena Instruction Following | 1451 | — |
Long Context Not comparable
GLM-5.1: 44.9 (#51), OLMo 2 Furious 13B: —
| Benchmark | GLM-5.1 | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Longer Query | 1467 | — |
Writing & Preference GLM-5.1 leads
GLM-5.1: 67.2 (#29), OLMo 2 Furious 13B: 43.0 (#226)
| Benchmark | GLM-5.1 | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Text | 1462 | — |
| LMArena Creative Writing | 1454 | — |
| EQ-Bench Creative Writing | 1592 | — |
| WildBench | — | 68.9% |
| LMArena Multi-Turn | 1473 | — |
| LiveBench Language | — | 11.2% |
Frequently asked questions
Is GLM-5.1 better than OLMo 2 Furious 13B?
GLM-5.1 is the stronger model overall, scoring 47.6 to 29.2 on the Noometry Index.
Is GLM-5.1 or OLMo 2 Furious 13B better for coding?
GLM-5.1 scores higher on coding benchmarks: 48.5 versus 28.1 in the Noometry coding category.
How many benchmarks do GLM-5.1 and OLMo 2 Furious 13B share?
0 benchmarks have published results for both models. GLM-5.1 has 41 scored results on Noometry and OLMo 2 Furious 13B has 12.