Model comparison
GLM-4.7-Flash vs Olmo 3.1 32b Instruct
GLM-4.7-Flash and Olmo 3.1 32b Instruct score almost the same on the Noometry Index (38.4 vs 38.8), so choose on price, context window or the category you care about most.
Last verified . 16 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 16 benchmarks with published results for both. GLM-4.7-Flash scores higher in 5 categories and Olmo 3.1 32b Instruct in 3 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Olmo 3.1 32b Instruct leads 25.4 to 20.2.
Side by side
| GLM-4.7-Flash | Olmo 3.1 32b Instruct | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Allen Institute for AI (Ai2) |
| Noometry Index | 38.4 | 38.8 |
| 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 | 16 |
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Category by category
Coding GLM-4.7-Flash leads
GLM-4.7-Flash: 40.0 (#133), Olmo 3.1 32b Instruct: 38.9 (#154)
| Benchmark | GLM-4.7-Flash | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Coding | 1383 | 1346 |
Reasoning Olmo 3.1 32b Instruct leads
GLM-4.7-Flash: 20.2 (#224), Olmo 3.1 32b Instruct: 25.4 (#131)
| Benchmark | GLM-4.7-Flash | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1322 |
| Chess Puzzles | 0% | — |
Math Too close to call
GLM-4.7-Flash: 34.4 (#159), Olmo 3.1 32b Instruct: 33.6 (#169)
| Benchmark | GLM-4.7-Flash | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Math | 1354 | 1305 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
Knowledge Too close to call
GLM-4.7-Flash: 35.4 (#177), Olmo 3.1 32b Instruct: 35.4 (#175)
| Benchmark | GLM-4.7-Flash | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Expert | 1357 | 1307 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |
Multilingual GLM-4.7-Flash leads
GLM-4.7-Flash: 46.8 (#152), Olmo 3.1 32b Instruct: 42.8 (#185)
| Benchmark | GLM-4.7-Flash | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Non-English | 1331 | 1275 |
| LMArena Chinese | 1403 | 1304 |
| LMArena French | 1332 | 1328 |
| LMArena German | 1336 | 1283 |
| LMArena Korean | 1284 | 1206 |
| LMArena Russian | 1333 | 1268 |
| LMArena Spanish | 1351 | 1337 |
Instruction Following GLM-4.7-Flash leads
GLM-4.7-Flash: 70.3 (#162), Olmo 3.1 32b Instruct: 68.8 (#182)
| Benchmark | GLM-4.7-Flash | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1327 | 1298 |
Long Context GLM-4.7-Flash leads
GLM-4.7-Flash: 40.9 (#143), Olmo 3.1 32b Instruct: 39.9 (#161)
| Benchmark | GLM-4.7-Flash | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1345 | 1312 |
Writing & Preference Olmo 3.1 32b Instruct leads
GLM-4.7-Flash: 47.7 (#206), Olmo 3.1 32b Instruct: 50.4 (#179)
| Benchmark | GLM-4.7-Flash | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Text | 1351 | 1311 |
| LMArena Creative Writing | 1297 | 1264 |
| LMArena Multi-Turn | 1342 | 1309 |
| EQ-Bench Creative Writing | 1125 | — |
Frequently asked questions
Is GLM-4.7-Flash better than Olmo 3.1 32b Instruct?
GLM-4.7-Flash and Olmo 3.1 32b Instruct score almost the same on the Noometry Index (38.4 vs 38.8), so choose on price, context window or the category you care about most.
Is GLM-4.7-Flash or Olmo 3.1 32b Instruct better for coding?
GLM-4.7-Flash scores higher on coding benchmarks: 40.0 versus 38.9 in the Noometry coding category.
How many benchmarks do GLM-4.7-Flash and Olmo 3.1 32b Instruct share?
16 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Olmo 3.1 32b Instruct has 16.