Model comparison
GLM-4.7-Flash vs Granite 3.1 2b Instruct
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 33.2 on the Noometry Index.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. GLM-4.7-Flash scores higher in 7 categories and Granite 3.1 2b Instruct in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.7-Flash leads 46.5 to 29.1.
Side by side
| GLM-4.7-Flash | Granite 3.1 2b Instruct | |
|---|---|---|
| Provider | Z.ai (Zhipu) | IBM |
| Noometry Index | 38.8 | 33.2 |
| 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 | 12 |
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Category by category
Coding GLM-4.7-Flash leads
GLM-4.7-Flash: 40.6 (#135), Granite 3.1 2b Instruct: 33.4 (#257)
| Benchmark | GLM-4.7-Flash | Granite 3.1 2b Instruct |
|---|---|---|
| LMArena Coding | 1383 | 1149 |
Reasoning Granite 3.1 2b Instruct leads
GLM-4.7-Flash: 20.9 (#229), Granite 3.1 2b Instruct: 22.0 (#209)
| Benchmark | GLM-4.7-Flash | Granite 3.1 2b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1138 |
| Chess Puzzles | 0% | — |
Math GLM-4.7-Flash leads
GLM-4.7-Flash: 36.1 (#173), Granite 3.1 2b Instruct: 33.1 (#206)
| Benchmark | GLM-4.7-Flash | Granite 3.1 2b Instruct |
|---|---|---|
| LMArena Math | 1355 | 1159 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
Knowledge GLM-4.7-Flash leads
GLM-4.7-Flash: 35.5 (#184), Granite 3.1 2b Instruct: 30.8 (#224)
| Benchmark | GLM-4.7-Flash | Granite 3.1 2b Instruct |
|---|---|---|
| LMArena Expert | 1357 | 1131 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |
Multilingual GLM-4.7-Flash leads
GLM-4.7-Flash: 46.5 (#158), Granite 3.1 2b Instruct: 29.1 (#269)
| Benchmark | GLM-4.7-Flash | Granite 3.1 2b Instruct |
|---|---|---|
| LMArena Non-English | 1330 | 1068 |
| LMArena Chinese | 1403 | 1139 |
| LMArena Russian | 1332 | 1063 |
| LMArena French | 1332 | — |
| LMArena German | 1337 | — |
| LMArena Korean | 1283 | — |
| LMArena Spanish | 1350 | — |
Instruction Following GLM-4.7-Flash leads
GLM-4.7-Flash: 70.1 (#167), Granite 3.1 2b Instruct: 57.7 (#264)
| Benchmark | GLM-4.7-Flash | Granite 3.1 2b Instruct |
|---|---|---|
| LMArena Instruction Following | 1327 | 1116 |
Long Context GLM-4.7-Flash leads
GLM-4.7-Flash: 40.9 (#148), Granite 3.1 2b Instruct: 35.0 (#244)
| Benchmark | GLM-4.7-Flash | Granite 3.1 2b Instruct |
|---|---|---|
| LMArena Longer Query | 1345 | 1155 |
Writing & Preference GLM-4.7-Flash leads
GLM-4.7-Flash: 47.4 (#210), Granite 3.1 2b Instruct: 34.1 (#274)
| Benchmark | GLM-4.7-Flash | Granite 3.1 2b Instruct |
|---|---|---|
| LMArena Text | 1351 | 1127 |
| LMArena Creative Writing | 1297 | 1116 |
| LMArena Multi-Turn | 1342 | 1099 |
| EQ-Bench Creative Writing | 1125 | — |
Frequently asked questions
Is GLM-4.7-Flash better than Granite 3.1 2b Instruct?
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 33.2 on the Noometry Index.
Is GLM-4.7-Flash or Granite 3.1 2b Instruct better for coding?
GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 33.4 in the Noometry coding category.
How many benchmarks do GLM-4.7-Flash and Granite 3.1 2b Instruct share?
12 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Granite 3.1 2b Instruct has 12.