Model comparison
GLM-4.6V vs Granite 4.0 Micro
GLM-4.6V is the stronger model overall, scoring 41.3 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 11× less per token, which makes it the better buy when GLM-4.6V's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in knowledge, where GLM-4.6V leads 38.0 to 9.9.
- Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $0.30 / $0.90 for GLM-4.6V.
- Granite 4.0 Micro accepts more context: 131K tokens versus 128K.
Side by side
| GLM-4.6V | Granite 4.0 Micro | |
|---|---|---|
| Provider | Z.ai (Zhipu) | IBM |
| Noometry Index | 41.3 | 29.0 |
| Released | 2025-12-08 | 2025-10-02 |
| Weights | Open | Open |
| Context window | 128K | 131K |
| Max output | 33K | 118K |
| Input $ / M tokens | $0.30 | $0.017 |
| Output $ / M tokens | $0.90 | $0.11 |
| Results tracked | 12 | 8 |
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Category by category
Coding Not comparable
GLM-4.6V: 40.9 (#128), Granite 4.0 Micro: —
| Benchmark | GLM-4.6V | Granite 4.0 Micro |
|---|---|---|
| LMArena Coding | 1390 | — |
Reasoning GLM-4.6V leads
GLM-4.6V: 27.6 (#115), Granite 4.0 Micro: 19.2 (#265)
| Benchmark | GLM-4.6V | Granite 4.0 Micro |
|---|---|---|
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1368 | — |
Math Not comparable
GLM-4.6V: —, Granite 4.0 Micro: 12.0 (#307)
| Benchmark | GLM-4.6V | Granite 4.0 Micro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.8% |
| Omni-MATH | — | 20.9% |
Knowledge GLM-4.6V leads
GLM-4.6V: 38.0 (#149), Granite 4.0 Micro: 9.9 (#304)
| Benchmark | GLM-4.6V | Granite 4.0 Micro |
|---|---|---|
| GPQA Diamond | — | 28.3% |
| MMLU-Pro | — | 39.5% |
| GPQA (HELM) | — | 30.7% |
| LMArena Expert | 1371 | — |
Multimodal Not comparable
GLM-4.6V: 34.8 (#90), Granite 4.0 Micro: —
| Benchmark | GLM-4.6V | Granite 4.0 Micro |
|---|---|---|
| LMArena Vision | 1164 | — |
Multilingual Not comparable
GLM-4.6V: 48.6 (#141), Granite 4.0 Micro: —
| Benchmark | GLM-4.6V | Granite 4.0 Micro |
|---|---|---|
| LMArena Non-English | 1359 | — |
| LMArena Chinese | 1425 | — |
| LMArena Russian | 1340 | — |
Instruction Following GLM-4.6V leads
GLM-4.6V: 71.4 (#151), Granite 4.0 Micro: 69.9 (#169)
| Benchmark | GLM-4.6V | Granite 4.0 Micro |
|---|---|---|
| IFEval | — | 84.9% |
| LMArena Instruction Following | 1352 | — |
Long Context Not comparable
GLM-4.6V: 41.3 (#143), Granite 4.0 Micro: —
| Benchmark | GLM-4.6V | Granite 4.0 Micro |
|---|---|---|
| LMArena Longer Query | 1358 | — |
Writing & Preference GLM-4.6V leads
GLM-4.6V: 56.6 (#137), Granite 4.0 Micro: 46.7 (#216)
| Benchmark | GLM-4.6V | Granite 4.0 Micro |
|---|---|---|
| LMArena Text | 1377 | — |
| LMArena Creative Writing | 1347 | — |
| WildBench | — | 67% |
| LMArena Multi-Turn | 1360 | — |
Frequently asked questions
Is GLM-4.6V better than Granite 4.0 Micro?
GLM-4.6V is the stronger model overall, scoring 41.3 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 11× less per token, which makes it the better buy when GLM-4.6V's lead doesn't matter for your workload.
Which is cheaper, GLM-4.6V or Granite 4.0 Micro?
Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; GLM-4.6V lists at $0.30 and $0.90.
Which has the bigger context window?
Granite 4.0 Micro does, with 131K tokens against 128K.
How many benchmarks do GLM-4.6V and Granite 4.0 Micro share?
0 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Granite 4.0 Micro has 8.