Model comparison
Gemma 1.1 7b IT vs GLM-5.3
GLM-5.3 is the stronger model overall, scoring 54.6 to 30.7 on the Noometry Index.
Last verified . 17 shared benchmarks.
GoogleSummary
- They share 17 benchmarks with published results for both. Gemma 1.1 7b IT scores higher in 0 categories and GLM-5.3 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-5.3 leads 75.9 to 30.6.
Side by side
| Gemma 1.1 7b IT | GLM-5.3 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 30.7 | 54.6 |
| Released | — | 2026-08-14 |
| Weights | Open | Open |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $1.40 |
| Output $ / M tokens | — | $4.40 |
| Results tracked | 19 | 41 |
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Category by category
Coding GLM-5.3 leads
Gemma 1.1 7b IT: 31.0 (#279), GLM-5.3: 59.0 (#12)
| Benchmark | Gemma 1.1 7b IT | GLM-5.3 |
|---|---|---|
| LMArena Coding | 1084 | 1499 |
| DeepSWE | — | 69% |
| FrontierCode | — | 40.1% |
| LMArena WebDev | — | 1623 |
| FrontierSWE | — | 30.2% |
| SciCode | — | 59% |
| WeirdML | — | 75.4% |
| ALE-Bench | — | 1,317 |
| HumanEval+ | 35.4% | — |
| MBPP+ | 45% | — |
Agentic & Tool Use Not comparable
Gemma 1.1 7b IT: —, GLM-5.3: 36.3 (#34)
| Benchmark | Gemma 1.1 7b IT | GLM-5.3 |
|---|---|---|
| APEX-Agents | — | 56.6% |
| Vending-Bench 2 | — | 8,164 |
Reasoning GLM-5.3 leads
Gemma 1.1 7b IT: 19.6 (#235), GLM-5.3: 45.2 (#42)
| Benchmark | Gemma 1.1 7b IT | GLM-5.3 |
|---|---|---|
| LMArena Hard Prompts | 1071 | 1491 |
| NYT Connections (extended) | — | 74.2% |
| CritPt | — | 19.1% |
| Chess Puzzles | — | 21% |
| Mystery Game Puzzles | — | 33% |
| DTBench | — | 87.7% |
| LMCA | — | 55.5% |
| Bench to the Future 3 | — | 0.15 |
| Epoch Capabilities Index | — | 155.56 |
Math GLM-5.3 leads
Gemma 1.1 7b IT: 29.5 (#217), GLM-5.3: 62.1 (#27)
| Benchmark | Gemma 1.1 7b IT | GLM-5.3 |
|---|---|---|
| LMArena Math | 1107 | 1493 |
| FrontierMath (Tiers 1-3) | — | 68.8% |
| FrontierMath Tier 4 | — | 29.3% |
| OTIS Mock AIME 2024-2025 | — | 91.1% |
| ProofBench | — | 49% |
Knowledge GLM-5.3 leads
Gemma 1.1 7b IT: 27.8 (#242), GLM-5.3: 58.3 (#34)
| Benchmark | Gemma 1.1 7b IT | GLM-5.3 |
|---|---|---|
| LMArena Expert | 1039 | 1512 |
| GPQA Diamond | — | 90.9% |
| SimpleQA Verified | — | 41% |
Multilingual GLM-5.3 leads
Gemma 1.1 7b IT: 28.3 (#268), GLM-5.3: 55.9 (#27)
| Benchmark | Gemma 1.1 7b IT | GLM-5.3 |
|---|---|---|
| LMArena Non-English | 1052 | 1457 |
| LMArena Chinese | 1060 | 1523 |
| LMArena French | 1064 | 1499 |
| LMArena German | 1054 | 1505 |
| LMArena Japanese | 971 | 1438 |
| LMArena Korean | 988 | 1478 |
| LMArena Russian | 1046 | 1460 |
| LMArena Spanish | 1049 | 1444 |
Instruction Following GLM-5.3 leads
Gemma 1.1 7b IT: 54.3 (#278), GLM-5.3: 77.8 (#15)
| Benchmark | Gemma 1.1 7b IT | GLM-5.3 |
|---|---|---|
| LMArena Instruction Following | 1057 | 1481 |
Long Context GLM-5.3 leads
Gemma 1.1 7b IT: 32.0 (#267), GLM-5.3: 45.5 (#32)
| Benchmark | Gemma 1.1 7b IT | GLM-5.3 |
|---|---|---|
| LMArena Longer Query | 1056 | 1485 |
Writing & Preference GLM-5.3 leads
Gemma 1.1 7b IT: 30.6 (#283), GLM-5.3: 75.9 (#6)
| Benchmark | Gemma 1.1 7b IT | GLM-5.3 |
|---|---|---|
| LMArena Text | 1094 | 1473 |
| LMArena Creative Writing | 1059 | 1459 |
| LMArena Multi-Turn | 1040 | 1473 |
| EQ-Bench Creative Writing | — | 2075 |
Frequently asked questions
Is Gemma 1.1 7b IT better than GLM-5.3?
GLM-5.3 is the stronger model overall, scoring 54.6 to 30.7 on the Noometry Index.
Is Gemma 1.1 7b IT or GLM-5.3 better for coding?
GLM-5.3 scores higher on coding benchmarks: 59.0 versus 31.0 in the Noometry coding category.
How many benchmarks do Gemma 1.1 7b IT and GLM-5.3 share?
17 benchmarks have published results for both models. Gemma 1.1 7b IT has 19 scored results on Noometry and GLM-5.3 has 41.