Model comparison
Gemma 3 12B vs GLM-4.5
GLM-4.5 is the stronger model overall, scoring 42.0 to 32.1 on the Noometry Index. Gemma 3 12B costs 13× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. Gemma 3 12B scores higher in 1 category and GLM-4.5 in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.5 leads 39.0 to 22.3.
- Gemma 3 12B is cheaper at $0.05 / $0.15 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
Side by side
| Gemma 3 12B | GLM-4.5 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 32.1 | 42.0 |
| Released | 2025-03-12 | 2025-07-27 |
| Weights | Open | Open |
| Context window | 131K | 131K |
| Max output | 8K | 98K |
| Input $ / M tokens | $0.05 | $0.60 |
| Output $ / M tokens | $0.15 | $2.20 |
| Results tracked | 24 | 27 |
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Category by category
Coding GLM-4.5 leads
Gemma 3 12B: 31.7 (#280), GLM-4.5: 41.4 (#125)
| Benchmark | Gemma 3 12B | GLM-4.5 |
|---|---|---|
| LMArena Coding | 1281 | 1434 |
| SWE-bench Verified (bash only) | — | 54.2% |
| SciCode | 17.4% | — |
| WeirdML | — | 40.6% |
| ALE-Bench | — | 344.82 |
| AlgoTune | — | 1.52 |
Agentic & Tool Use Not comparable
Gemma 3 12B: 25.5 (#108), GLM-4.5: —
| Benchmark | Gemma 3 12B | GLM-4.5 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 30.4% | — |
Reasoning GLM-4.5 leads
Gemma 3 12B: 15.7 (#313), GLM-4.5: 28.6 (#100)
| Benchmark | Gemma 3 12B | GLM-4.5 |
|---|---|---|
| LMArena Hard Prompts | 1309 | 1429 |
| Kagi LLM Benchmark | — | 57.9% |
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| DTBench | 48.8% | — |
| LMCA | 4.5% | — |
| Epoch Capabilities Index | 123.5 | — |
Math GLM-4.5 leads
Gemma 3 12B: 22.3 (#279), GLM-4.5: 39.0 (#116)
| Benchmark | Gemma 3 12B | GLM-4.5 |
|---|---|---|
| LMArena Math | 1307 | 1427 |
| OTIS Mock AIME 2024-2025 | 16.7% | — |
Knowledge GLM-4.5 leads
Gemma 3 12B: 26.5 (#257), GLM-4.5: 35.9 (#179)
| Benchmark | Gemma 3 12B | GLM-4.5 |
|---|---|---|
| LMArena Expert | 1248 | 1433 |
| GPQA Diamond | 39.5% | — |
| Humanity's Last Exam | — | 8.3% |
| Confabulations | — | 11.3% |
| Vectara Hallucination Rate | 4.4% | — |
Multimodal Not comparable
Gemma 3 12B: —, GLM-4.5: —
| Benchmark | Gemma 3 12B | GLM-4.5 |
|---|---|---|
| MindCube | 46.7% | — |
Multilingual GLM-4.5 leads
Gemma 3 12B: 45.7 (#165), GLM-4.5: 52.8 (#77)
| Benchmark | Gemma 3 12B | GLM-4.5 |
|---|---|---|
| LMArena Non-English | 1318 | 1417 |
| LMArena German | 1370 | 1407 |
| LMArena Russian | 1335 | 1414 |
| LMArena Chinese | — | 1465 |
| LMArena French | — | 1418 |
| LMArena Japanese | — | 1415 |
| LMArena Korean | — | 1380 |
| LMArena Spanish | — | 1454 |
Instruction Following GLM-4.5 leads
Gemma 3 12B: 68.6 (#186), GLM-4.5: 74.1 (#104)
| Benchmark | Gemma 3 12B | GLM-4.5 |
|---|---|---|
| LMArena Instruction Following | 1299 | 1404 |
Long Context Gemma 3 12B leads
Gemma 3 12B: 40.0 (#162), GLM-4.5: 38.2 (#201)
| Benchmark | Gemma 3 12B | GLM-4.5 |
|---|---|---|
| LMArena Longer Query | 1317 | 1412 |
| Fiction.LiveBench | — | 58.3% |
Writing & Preference GLM-4.5 leads
Gemma 3 12B: 47.5 (#209), GLM-4.5: 57.5 (#127)
| Benchmark | Gemma 3 12B | GLM-4.5 |
|---|---|---|
| LMArena Text | 1334 | 1430 |
| LMArena Creative Writing | 1331 | 1395 |
| EQ-Bench Creative Writing | 1126 | 1343 |
| LMArena Multi-Turn | 1334 | 1415 |
| Short-Story Creative Writing | — | 73.4% |
Frequently asked questions
Is Gemma 3 12B better than GLM-4.5?
GLM-4.5 is the stronger model overall, scoring 42.0 to 32.1 on the Noometry Index. Gemma 3 12B costs 13× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.
Which is cheaper, Gemma 3 12B or GLM-4.5?
Gemma 3 12B is cheaper. It lists at $0.05 per million input tokens and $0.15 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.
Is Gemma 3 12B or GLM-4.5 better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.4 versus 31.7 in the Noometry coding category.
Which has the bigger context window?
Both accept 131K tokens.
How many benchmarks do Gemma 3 12B and GLM-4.5 share?
13 benchmarks have published results for both models. Gemma 3 12B has 24 scored results on Noometry and GLM-4.5 has 27.