Model comparison
Gemma 3 12B vs GLM-4.7
GLM-4.7 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-4.7's lead doesn't matter for your workload.
Last verified . 20 shared benchmarks.
GoogleSummary
- They share 20 benchmarks with published results for both. Gemma 3 12B scores higher in 0 categories and GLM-4.7 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 26.5.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 16.7% for Gemma 3 12B and 83.3% for GLM-4.7.
- Gemma 3 12B is cheaper at $0.05 / $0.15 per million input/output tokens, against $0.60 / $2.20 for GLM-4.7.
- GLM-4.7 accepts more context: 205K tokens versus 131K.
Side by side
| Gemma 3 12B | GLM-4.7 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 32.1 | 42.0 |
| Released | 2025-03-12 | 2025-12-22 |
| Weights | Open | Open |
| Context window | 131K | 205K |
| Max output | 8K | 131K |
| Input $ / M tokens | $0.05 | $0.60 |
| Output $ / M tokens | $0.15 | $2.20 |
| Results tracked | 24 | 36 |
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Category by category
Coding GLM-4.7 leads
Gemma 3 12B: 31.7 (#280), GLM-4.7: 44.0 (#79)
| Benchmark | Gemma 3 12B | GLM-4.7 |
|---|---|---|
| SciCode | 17.4% | 45.1% |
| LMArena Coding | 1281 | 1454 |
| LMArena WebDev | — | 1435 |
| ALE-Bench | — | 399.48 |
Agentic & Tool Use GLM-4.7 leads
Gemma 3 12B: 25.5 (#108), GLM-4.7: 26.5 (#103)
| Benchmark | Gemma 3 12B | GLM-4.7 |
|---|---|---|
| Terminal-Bench | — | 33.4% |
| Berkeley Function Calling Leaderboard | 30.4% | — |
| Vending-Bench 2 | — | 2,377 |
Reasoning GLM-4.7 leads
Gemma 3 12B: 15.7 (#313), GLM-4.7: 24.3 (#164)
| Benchmark | Gemma 3 12B | GLM-4.7 |
|---|---|---|
| CritPt | 0% | 1.7% |
| Chess Puzzles | 0% | 6% |
| LMArena Hard Prompts | 1309 | 1443 |
| Epoch Capabilities Index | 123.5 | 143.51 |
| SimpleBench | — | 47.7% |
| DTBench | 48.8% | — |
| LMCA | 4.5% | — |
Math GLM-4.7 leads
Gemma 3 12B: 22.3 (#279), GLM-4.7: 38.6 (#135)
| Benchmark | Gemma 3 12B | GLM-4.7 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.7% | 83.3% |
| LMArena Math | 1307 | 1423 |
| ProofBench | — | 6% |
| FrontierMath (Feb 2025 set) | — | 2.4% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge GLM-4.7 leads
Gemma 3 12B: 26.5 (#257), GLM-4.7: 47.0 (#80)
| Benchmark | Gemma 3 12B | GLM-4.7 |
|---|---|---|
| GPQA Diamond | 39.5% | 83.3% |
| Vectara Hallucination Rate | 4.4% | 11.7% |
| LMArena Expert | 1248 | 1424 |
| SimpleQA Verified | — | 32.2% |
Multimodal Not comparable
Gemma 3 12B: —, GLM-4.7: —
| Benchmark | Gemma 3 12B | GLM-4.7 |
|---|---|---|
| MindCube | 46.7% | — |
Multilingual GLM-4.7 leads
Gemma 3 12B: 45.7 (#165), GLM-4.7: 52.8 (#79)
| Benchmark | Gemma 3 12B | GLM-4.7 |
|---|---|---|
| LMArena Non-English | 1318 | 1417 |
| LMArena German | 1370 | 1424 |
| LMArena Russian | 1335 | 1423 |
| LMArena Chinese | — | 1495 |
| LMArena French | — | 1432 |
| LMArena Japanese | — | 1439 |
| LMArena Korean | — | 1399 |
| LMArena Spanish | — | 1434 |
Instruction Following GLM-4.7 leads
Gemma 3 12B: 68.6 (#186), GLM-4.7: 74.4 (#95)
| Benchmark | Gemma 3 12B | GLM-4.7 |
|---|---|---|
| LMArena Instruction Following | 1299 | 1411 |
Long Context GLM-4.7 leads
Gemma 3 12B: 40.0 (#162), GLM-4.7: 42.8 (#116)
| Benchmark | Gemma 3 12B | GLM-4.7 |
|---|---|---|
| LMArena Longer Query | 1317 | 1432 |
| CL-bench | — | 15.9% |
| CL-bench Life | — | 10.9% |
Writing & Preference GLM-4.7 leads
Gemma 3 12B: 47.5 (#209), GLM-4.7: 60.9 (#93)
| Benchmark | Gemma 3 12B | GLM-4.7 |
|---|---|---|
| LMArena Text | 1334 | 1435 |
| LMArena Creative Writing | 1331 | 1401 |
| EQ-Bench Creative Writing | 1126 | 1413 |
| LMArena Multi-Turn | 1334 | 1446 |
Frequently asked questions
Is Gemma 3 12B better than GLM-4.7?
GLM-4.7 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-4.7's lead doesn't matter for your workload.
Which is cheaper, Gemma 3 12B or GLM-4.7?
Gemma 3 12B is cheaper. It lists at $0.05 per million input tokens and $0.15 per million output tokens; GLM-4.7 lists at $0.60 and $2.20.
Is Gemma 3 12B or GLM-4.7 better for coding?
GLM-4.7 scores higher on coding benchmarks: 44.0 versus 31.7 in the Noometry coding category.
Which has the bigger context window?
GLM-4.7 does, with 205K tokens against 131K.
How many benchmarks do Gemma 3 12B and GLM-4.7 share?
20 benchmarks have published results for both models. Gemma 3 12B has 24 scored results on Noometry and GLM-4.7 has 36.