Model comparison
GLM-4.7-Flash vs OLMo 2 Furious 13B
GLM-4.7-Flash is the stronger model overall, scoring 38.4 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-4.7-Flash leads 35.4 to 18.0.
Side by side
| GLM-4.7-Flash | OLMo 2 Furious 13B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Allen Institute for AI (Ai2) |
| Noometry Index | 38.4 | 29.2 |
| Released | 2026-01-19 | 2024-12-31 |
| Weights | Open | Open |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.06 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 21 | 12 |
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Category by category
Coding GLM-4.7-Flash leads
GLM-4.7-Flash: 40.0 (#133), OLMo 2 Furious 13B: 28.1 (#309)
| Benchmark | GLM-4.7-Flash | OLMo 2 Furious 13B |
|---|---|---|
| LiveBench Coding | — | 10.4% |
| LMArena Coding | 1383 | — |
Reasoning GLM-4.7-Flash leads
GLM-4.7-Flash: 20.2 (#224), OLMo 2 Furious 13B: 14.8 (#312)
| Benchmark | GLM-4.7-Flash | OLMo 2 Furious 13B |
|---|---|---|
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | — | 16.3% |
| LMArena Hard Prompts | 1356 | — |
| LiveBench Data Analysis | — | 20.6% |
| LiveBench | — | 22.1% |
Math GLM-4.7-Flash leads
GLM-4.7-Flash: 34.4 (#159), OLMo 2 Furious 13B: 21.3 (#270)
| Benchmark | GLM-4.7-Flash | OLMo 2 Furious 13B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 58.3% | — |
| Omni-MATH | — | 15.6% |
| LiveBench Math | — | 13.6% |
| LMArena Math | 1354 | — |
Knowledge GLM-4.7-Flash leads
GLM-4.7-Flash: 35.4 (#177), OLMo 2 Furious 13B: 18.0 (#278)
| Benchmark | GLM-4.7-Flash | OLMo 2 Furious 13B |
|---|---|---|
| GPQA Diamond | 60.5% | — |
| MMLU-Pro | — | 31% |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | — | 31.6% |
| LMArena Expert | 1357 | — |
Multilingual Not comparable
GLM-4.7-Flash: 46.8 (#152), OLMo 2 Furious 13B: —
| Benchmark | GLM-4.7-Flash | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Non-English | 1331 | — |
| LMArena Chinese | 1403 | — |
| LMArena French | 1332 | — |
| LMArena German | 1336 | — |
| LMArena Korean | 1284 | — |
| LMArena Russian | 1333 | — |
| LMArena Spanish | 1351 | — |
Instruction Following GLM-4.7-Flash leads
GLM-4.7-Flash: 70.3 (#162), OLMo 2 Furious 13B: 61.1 (#243)
| Benchmark | GLM-4.7-Flash | OLMo 2 Furious 13B |
|---|---|---|
| LiveBench Instruction Following | — | 60.6% |
| IFEval | — | 73% |
| LMArena Instruction Following | 1327 | — |
Long Context Not comparable
GLM-4.7-Flash: 40.9 (#143), OLMo 2 Furious 13B: —
| Benchmark | GLM-4.7-Flash | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Longer Query | 1345 | — |
Writing & Preference GLM-4.7-Flash leads
GLM-4.7-Flash: 47.7 (#206), OLMo 2 Furious 13B: 43.0 (#226)
| Benchmark | GLM-4.7-Flash | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Text | 1351 | — |
| LMArena Creative Writing | 1297 | — |
| EQ-Bench Creative Writing | 1125 | — |
| WildBench | — | 68.9% |
| LMArena Multi-Turn | 1342 | — |
| LiveBench Language | — | 11.2% |
Frequently asked questions
Is GLM-4.7-Flash better than OLMo 2 Furious 13B?
GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 29.2 on the Noometry Index.
Is GLM-4.7-Flash or OLMo 2 Furious 13B better for coding?
GLM-4.7-Flash scores higher on coding benchmarks: 40.0 versus 28.1 in the Noometry coding category.
How many benchmarks do GLM-4.7-Flash and OLMo 2 Furious 13B share?
0 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and OLMo 2 Furious 13B has 12.