Model comparison
GLM-5.3-Flash vs OLMo 2 Furious 13B
GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 29.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 18.3.
Side by side
| GLM-5.3-Flash | OLMo 2 Furious 13B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Allen Institute for AI (Ai2) |
| Noometry Index | 51.8 | 29.7 |
| Released | 2026-08-20 | 2024-12-31 |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.50 | — |
| Results tracked | 40 | 12 |
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Category by category
Coding GLM-5.3-Flash leads
GLM-5.3-Flash: 53.1 (#31), OLMo 2 Furious 13B: 28.6 (#313)
| Benchmark | GLM-5.3-Flash | OLMo 2 Furious 13B |
|---|---|---|
| DeepSWE | 63.4% | — |
| FrontierCode | 31.8% | — |
| CursorBench | 36.8% | — |
| LMArena WebDev | 1609 | — |
| FrontierSWE | 18.1% | — |
| SciCode | 51.6% | — |
| LiveBench Coding | — | 10.4% |
| LMArena Coding | 1508 | — |
| ALE-Bench | 303.55 | — |
Agentic & Tool Use Not comparable
GLM-5.3-Flash: 34.2 (#47), OLMo 2 Furious 13B: —
| Benchmark | GLM-5.3-Flash | OLMo 2 Furious 13B |
|---|---|---|
| APEX-Agents | 52.8% | — |
| GDP.pdf | 14% | — |
Reasoning GLM-5.3-Flash leads
GLM-5.3-Flash: 48.0 (#42), OLMo 2 Furious 13B: 15.5 (#314)
| Benchmark | GLM-5.3-Flash | OLMo 2 Furious 13B |
|---|---|---|
| ARC-AGI-2 | 65.8% | — |
| ARC-AGI-1 | 91% | — |
| CritPt | 15.4% | — |
| Chess Puzzles | 14% | — |
| LiveBench Reasoning | — | 16.3% |
| LMArena Hard Prompts | 1491 | — |
| Mystery Game Puzzles | 8% | — |
| LiveBench Data Analysis | — | 20.6% |
| Surface Evolver Bench | 52.5% | — |
| Bench to the Future 3 | 0.15 | — |
| Epoch Capabilities Index | 151.88 | — |
| LiveBench | — | 22.1% |
Math GLM-5.3-Flash leads
GLM-5.3-Flash: 53.3 (#47), OLMo 2 Furious 13B: 23.1 (#273)
| Benchmark | GLM-5.3-Flash | OLMo 2 Furious 13B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 93.9% | — |
| ProofBench | 21% | — |
| Omni-MATH | — | 15.6% |
| LiveBench Math | — | 13.6% |
| LMArena Math | 1500 | — |
Knowledge GLM-5.3-Flash leads
GLM-5.3-Flash: 58.4 (#36), OLMo 2 Furious 13B: 18.3 (#283)
| Benchmark | GLM-5.3-Flash | OLMo 2 Furious 13B |
|---|---|---|
| GPQA Diamond | 90.2% | — |
| MMLU-Pro | — | 31% |
| GPQA (HELM) | — | 31.6% |
| LMArena Expert | 1513 | — |
Multimodal Not comparable
GLM-5.3-Flash: 42.8 (#27), OLMo 2 Furious 13B: —
| Benchmark | GLM-5.3-Flash | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Vision | 1296 | — |
Multilingual Not comparable
GLM-5.3-Flash: 56.0 (#25), OLMo 2 Furious 13B: —
| Benchmark | GLM-5.3-Flash | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Non-English | 1462 | — |
| LMArena Chinese | 1527 | — |
| LMArena French | 1496 | — |
| LMArena German | 1470 | — |
| LMArena Japanese | 1429 | — |
| LMArena Korean | 1446 | — |
| LMArena Russian | 1469 | — |
| LMArena Spanish | 1471 | — |
Instruction Following GLM-5.3-Flash leads
GLM-5.3-Flash: 77.5 (#20), OLMo 2 Furious 13B: 60.9 (#248)
| Benchmark | GLM-5.3-Flash | OLMo 2 Furious 13B |
|---|---|---|
| LiveBench Instruction Following | — | 60.6% |
| IFEval | — | 73% |
| LMArena Instruction Following | 1478 | — |
Long Context Not comparable
GLM-5.3-Flash: 45.4 (#39), OLMo 2 Furious 13B: —
| Benchmark | GLM-5.3-Flash | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Longer Query | 1482 | — |
Writing & Preference GLM-5.3-Flash leads
GLM-5.3-Flash: 65.3 (#50), OLMo 2 Furious 13B: 42.9 (#230)
| Benchmark | GLM-5.3-Flash | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Text | 1471 | — |
| LMArena Creative Writing | 1442 | — |
| WildBench | — | 68.9% |
| LMArena Multi-Turn | 1467 | — |
| LiveBench Language | — | 11.2% |
Frequently asked questions
Is GLM-5.3-Flash better than OLMo 2 Furious 13B?
GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 29.7 on the Noometry Index.
Is GLM-5.3-Flash or OLMo 2 Furious 13B better for coding?
GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 28.6 in the Noometry coding category.
How many benchmarks do GLM-5.3-Flash and OLMo 2 Furious 13B share?
0 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and OLMo 2 Furious 13B has 12.