Model comparison
GLM-4.7-Flash vs Olmo 3 32b Think
GLM-4.7-Flash and Olmo 3 32b Think score almost the same on the Noometry Index (38.8 vs 38.7), so choose on price, context window or the category you care about most.
Last verified . 14 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 14 benchmarks with published results for both. GLM-4.7-Flash scores higher in 5 categories and Olmo 3 32b Think in 3 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.7-Flash leads 46.5 to 41.2.
Side by side
| GLM-4.7-Flash | Olmo 3 32b Think | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Allen Institute for AI (Ai2) |
| Noometry Index | 38.8 | 38.7 |
| Released | 2026-01-19 | — |
| Weights | Open | Open |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.06 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 21 | 14 |
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Category by category
Coding GLM-4.7-Flash leads
GLM-4.7-Flash: 40.6 (#135), Olmo 3 32b Think: 38.6 (#172)
| Benchmark | GLM-4.7-Flash | Olmo 3 32b Think |
|---|---|---|
| LMArena Coding | 1383 | 1319 |
Reasoning Olmo 3 32b Think leads
GLM-4.7-Flash: 20.9 (#229), Olmo 3 32b Think: 25.9 (#140)
| Benchmark | GLM-4.7-Flash | Olmo 3 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1302 |
| Chess Puzzles | 0% | — |
Math Too close to call
GLM-4.7-Flash: 36.1 (#173), Olmo 3 32b Think: 36.5 (#165)
| Benchmark | GLM-4.7-Flash | Olmo 3 32b Think |
|---|---|---|
| LMArena Math | 1355 | 1316 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
Knowledge Too close to call
GLM-4.7-Flash: 35.5 (#184), Olmo 3 32b Think: 35.0 (#190)
| Benchmark | GLM-4.7-Flash | Olmo 3 32b Think |
|---|---|---|
| LMArena Expert | 1357 | 1273 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |
Multilingual GLM-4.7-Flash leads
GLM-4.7-Flash: 46.5 (#158), Olmo 3 32b Think: 41.2 (#210)
| Benchmark | GLM-4.7-Flash | Olmo 3 32b Think |
|---|---|---|
| LMArena Non-English | 1330 | 1255 |
| LMArena Chinese | 1403 | 1300 |
| LMArena French | 1332 | 1291 |
| LMArena German | 1337 | 1290 |
| LMArena Russian | 1332 | 1254 |
| LMArena Korean | 1283 | — |
| LMArena Spanish | 1350 | — |
Instruction Following GLM-4.7-Flash leads
GLM-4.7-Flash: 70.1 (#167), Olmo 3 32b Think: 67.2 (#198)
| Benchmark | GLM-4.7-Flash | Olmo 3 32b Think |
|---|---|---|
| LMArena Instruction Following | 1327 | 1275 |
Long Context GLM-4.7-Flash leads
GLM-4.7-Flash: 40.9 (#148), Olmo 3 32b Think: 39.4 (#182)
| Benchmark | GLM-4.7-Flash | Olmo 3 32b Think |
|---|---|---|
| LMArena Longer Query | 1345 | 1296 |
Writing & Preference Olmo 3 32b Think leads
GLM-4.7-Flash: 47.4 (#210), Olmo 3 32b Think: 49.1 (#193)
| Benchmark | GLM-4.7-Flash | Olmo 3 32b Think |
|---|---|---|
| LMArena Text | 1351 | 1300 |
| LMArena Creative Writing | 1297 | 1256 |
| LMArena Multi-Turn | 1342 | 1290 |
| EQ-Bench Creative Writing | 1125 | — |
Frequently asked questions
Is GLM-4.7-Flash better than Olmo 3 32b Think?
GLM-4.7-Flash and Olmo 3 32b Think score almost the same on the Noometry Index (38.8 vs 38.7), so choose on price, context window or the category you care about most.
Is GLM-4.7-Flash or Olmo 3 32b Think better for coding?
GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 38.6 in the Noometry coding category.
How many benchmarks do GLM-4.7-Flash and Olmo 3 32b Think share?
14 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Olmo 3 32b Think has 14.