Model comparison
Gemma 3 1B vs GLM-5.3-Flash
GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 20.7 on the Noometry Index.
Last verified . 3 shared benchmarks.
GoogleSummary
- They share 3 benchmarks with published results for both. Gemma 3 1B scores higher in 0 categories and GLM-5.3-Flash in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 7.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.1% for Gemma 3 1B and 93.9% for GLM-5.3-Flash.
Side by side
| Gemma 3 1B | GLM-5.3-Flash | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 20.7 | 49.6 |
| Released | 2025-03-12 | 2026-08-20 |
| Weights | Open | Open |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.50 |
| Results tracked | 4 | 36 |
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Category by category
Coding Not comparable
Gemma 3 1B: —, GLM-5.3-Flash: 53.7 (#26)
| Benchmark | Gemma 3 1B | GLM-5.3-Flash |
|---|---|---|
| DeepSWE | — | 63.4% |
| FrontierCode | — | 31.8% |
| LMArena WebDev | — | 1614 |
| SciCode | — | 51.6% |
| LMArena Coding | — | 1506 |
| ALE-Bench | — | 303.55 |
Agentic & Tool Use GLM-5.3-Flash leads
Gemma 3 1B: 13.5 (#144), GLM-5.3-Flash: 34.3 (#41)
| Benchmark | Gemma 3 1B | GLM-5.3-Flash |
|---|---|---|
| APEX-Agents | — | 52.8% |
| Berkeley Function Calling Leaderboard | 7.2% | — |
| GDP.pdf | — | 14% |
Reasoning GLM-5.3-Flash leads
Gemma 3 1B: 18.5 (#260), GLM-5.3-Flash: 31.7 (#69)
| Benchmark | Gemma 3 1B | GLM-5.3-Flash |
|---|---|---|
| Chess Puzzles | 0% | 14% |
| CritPt | — | 15.4% |
| LMArena Hard Prompts | — | 1490 |
| Mystery Game Puzzles | — | 8% |
| Surface Evolver Bench | — | 52.5% |
| Bench to the Future 3 | — | 0.15 |
| Epoch Capabilities Index | — | 151.9 |
Math GLM-5.3-Flash leads
Gemma 3 1B: 9.6 (#310), GLM-5.3-Flash: 53.1 (#38)
| Benchmark | Gemma 3 1B | GLM-5.3-Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | 93.9% |
| FrontierMath (Tiers 1-3) | — | 55.8% |
| FrontierMath Tier 4 | — | 17.1% |
| ProofBench | — | 21% |
| LMArena Math | — | 1499 |
Knowledge GLM-5.3-Flash leads
Gemma 3 1B: 7.1 (#309), GLM-5.3-Flash: 58.4 (#33)
| Benchmark | Gemma 3 1B | GLM-5.3-Flash |
|---|---|---|
| GPQA Diamond | 19.9% | 90.2% |
| LMArena Expert | — | 1512 |
Multimodal Not comparable
Gemma 3 1B: —, GLM-5.3-Flash: 42.6 (#25)
| Benchmark | Gemma 3 1B | GLM-5.3-Flash |
|---|---|---|
| LMArena Vision | — | 1304 |
Multilingual Not comparable
Gemma 3 1B: —, GLM-5.3-Flash: 56.2 (#24)
| Benchmark | Gemma 3 1B | GLM-5.3-Flash |
|---|---|---|
| LMArena Non-English | — | 1462 |
| LMArena Chinese | — | 1529 |
| LMArena French | — | 1495 |
| LMArena German | — | 1457 |
| LMArena Japanese | — | 1420 |
| LMArena Korean | — | 1443 |
| LMArena Russian | — | 1472 |
| LMArena Spanish | — | 1471 |
Instruction Following Not comparable
Gemma 3 1B: —, GLM-5.3-Flash: 77.8 (#17)
| Benchmark | Gemma 3 1B | GLM-5.3-Flash |
|---|---|---|
| LMArena Instruction Following | — | 1480 |
Long Context Not comparable
Gemma 3 1B: —, GLM-5.3-Flash: 45.3 (#41)
| Benchmark | Gemma 3 1B | GLM-5.3-Flash |
|---|---|---|
| LMArena Longer Query | — | 1479 |
Writing & Preference Not comparable
Gemma 3 1B: —, GLM-5.3-Flash: 65.4 (#49)
| Benchmark | Gemma 3 1B | GLM-5.3-Flash |
|---|---|---|
| LMArena Text | — | 1471 |
| LMArena Creative Writing | — | 1440 |
| LMArena Multi-Turn | — | 1471 |
Frequently asked questions
Is Gemma 3 1B better than GLM-5.3-Flash?
GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 20.7 on the Noometry Index.
How many benchmarks do Gemma 3 1B and GLM-5.3-Flash share?
3 benchmarks have published results for both models. Gemma 3 1B has 4 scored results on Noometry and GLM-5.3-Flash has 36.