Model comparison
GLM-5V-Turbo vs Olmo 3.1 32b Think
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 37.9 on the Noometry Index.
Last verified . 15 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 15 benchmarks with published results for both. GLM-5V-Turbo scores higher in 8 categories and Olmo 3.1 32b Think in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-5V-Turbo leads 62.5 to 46.2.
- Olmo 3.1 32b Think has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | Olmo 3.1 32b Think | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Allen Institute for AI (Ai2) |
| Noometry Index | 43.8 | 37.9 |
| Released | 2026-04-01 | — |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.20 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 19 | 15 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), Olmo 3.1 32b Think: 37.7 (#189)
| Benchmark | GLM-5V-Turbo | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Coding | 1466 | 1291 |
| LMArena WebDev | 1401 | — |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), Olmo 3.1 32b Think: 25.2 (#150)
| Benchmark | GLM-5V-Turbo | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1272 |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 39.4 (#106), Olmo 3.1 32b Think: 36.3 (#168)
| Benchmark | GLM-5V-Turbo | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Math | 1441 | 1305 |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 40.6 (#117), Olmo 3.1 32b Think: 35.7 (#181)
| Benchmark | GLM-5V-Turbo | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Expert | 1452 | 1295 |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), Olmo 3.1 32b Think: —
| Benchmark | GLM-5V-Turbo | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual GLM-5V-Turbo leads
GLM-5V-Turbo: 53.0 (#73), Olmo 3.1 32b Think: 38.1 (#231)
| Benchmark | GLM-5V-Turbo | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Non-English | 1420 | 1209 |
| LMArena Chinese | 1488 | 1242 |
| LMArena French | 1444 | 1260 |
| LMArena German | 1423 | 1262 |
| LMArena Russian | 1431 | 1193 |
| LMArena Spanish | 1450 | 1289 |
| LMArena Korean | 1396 | — |
Instruction Following GLM-5V-Turbo leads
GLM-5V-Turbo: 75.0 (#80), Olmo 3.1 32b Think: 65.6 (#218)
| Benchmark | GLM-5V-Turbo | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Instruction Following | 1423 | 1247 |
Long Context GLM-5V-Turbo leads
GLM-5V-Turbo: 44.0 (#80), Olmo 3.1 32b Think: 38.6 (#195)
| Benchmark | GLM-5V-Turbo | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Longer Query | 1438 | 1272 |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.5 (#73), Olmo 3.1 32b Think: 46.2 (#220)
| Benchmark | GLM-5V-Turbo | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Text | 1437 | 1272 |
| LMArena Creative Writing | 1416 | 1226 |
| LMArena Multi-Turn | 1432 | 1252 |
Frequently asked questions
Is GLM-5V-Turbo better than Olmo 3.1 32b Think?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 37.9 on the Noometry Index.
Is GLM-5V-Turbo or Olmo 3.1 32b Think better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 37.7 in the Noometry coding category.
How many benchmarks do GLM-5V-Turbo and Olmo 3.1 32b Think share?
15 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Olmo 3.1 32b Think has 15.