Model comparison
Gemma 1.1 7b IT vs GLM-4.6
GLM-4.6 is the stronger model overall, scoring 40.9 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-4.6 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.6 leads 61.3 to 30.6.
Side by side
| Gemma 1.1 7b IT | GLM-4.6 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 30.7 | 40.9 |
| Released | — | 2025-09-30 |
| Weights | Open | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $2.20 |
| Results tracked | 19 | 29 |
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Category by category
Coding GLM-4.6 leads
Gemma 1.1 7b IT: 31.0 (#279), GLM-4.6: 39.9 (#137)
| Benchmark | Gemma 1.1 7b IT | GLM-4.6 |
|---|---|---|
| LMArena Coding | 1084 | 1449 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1339 |
| SciCode | — | 38.4% |
| ALE-Bench | — | 340.82 |
| HumanEval+ | 35.4% | — |
| MBPP+ | 45% | — |
Agentic & Tool Use Not comparable
Gemma 1.1 7b IT: —, GLM-4.6: 32.1 (#60)
| Benchmark | Gemma 1.1 7b IT | GLM-4.6 |
|---|---|---|
| Terminal-Bench | — | 24.5% |
| Berkeley Function Calling Leaderboard | — | 72.4% |
Reasoning GLM-4.6 leads
Gemma 1.1 7b IT: 19.6 (#235), GLM-4.6: 23.1 (#168)
| Benchmark | Gemma 1.1 7b IT | GLM-4.6 |
|---|---|---|
| LMArena Hard Prompts | 1071 | 1440 |
| Kagi LLM Benchmark | — | 47.4% |
| CritPt | — | 1.1% |
Math GLM-4.6 leads
Gemma 1.1 7b IT: 29.5 (#217), GLM-4.6: 36.4 (#115)
| Benchmark | Gemma 1.1 7b IT | GLM-4.6 |
|---|---|---|
| LMArena Math | 1107 | 1431 |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge GLM-4.6 leads
Gemma 1.1 7b IT: 27.8 (#242), GLM-4.6: 39.6 (#118)
| Benchmark | Gemma 1.1 7b IT | GLM-4.6 |
|---|---|---|
| LMArena Expert | 1039 | 1432 |
| Vectara Hallucination Rate | — | 9.5% |
Multilingual GLM-4.6 leads
Gemma 1.1 7b IT: 28.3 (#268), GLM-4.6: 53.6 (#62)
| Benchmark | Gemma 1.1 7b IT | GLM-4.6 |
|---|---|---|
| LMArena Non-English | 1052 | 1426 |
| LMArena Chinese | 1060 | 1500 |
| LMArena French | 1064 | 1459 |
| LMArena German | 1054 | 1447 |
| LMArena Japanese | 971 | 1394 |
| LMArena Korean | 988 | 1401 |
| LMArena Russian | 1046 | 1418 |
| LMArena Spanish | 1049 | 1436 |
Instruction Following GLM-4.6 leads
Gemma 1.1 7b IT: 54.3 (#278), GLM-4.6: 74.5 (#93)
| Benchmark | Gemma 1.1 7b IT | GLM-4.6 |
|---|---|---|
| LMArena Instruction Following | 1057 | 1410 |
Long Context GLM-4.6 leads
Gemma 1.1 7b IT: 32.0 (#267), GLM-4.6: 43.4 (#91)
| Benchmark | Gemma 1.1 7b IT | GLM-4.6 |
|---|---|---|
| LMArena Longer Query | 1056 | 1423 |
Writing & Preference GLM-4.6 leads
Gemma 1.1 7b IT: 30.6 (#283), GLM-4.6: 61.3 (#86)
| Benchmark | Gemma 1.1 7b IT | GLM-4.6 |
|---|---|---|
| LMArena Text | 1094 | 1440 |
| LMArena Creative Writing | 1059 | 1411 |
| LMArena Multi-Turn | 1040 | 1427 |
| EQ-Bench Creative Writing | — | 1411 |
Frequently asked questions
Is Gemma 1.1 7b IT better than GLM-4.6?
GLM-4.6 is the stronger model overall, scoring 40.9 to 30.7 on the Noometry Index.
Is Gemma 1.1 7b IT or GLM-4.6 better for coding?
GLM-4.6 scores higher on coding benchmarks: 39.9 versus 31.0 in the Noometry coding category.
How many benchmarks do Gemma 1.1 7b IT and GLM-4.6 share?
17 benchmarks have published results for both models. Gemma 1.1 7b IT has 19 scored results on Noometry and GLM-4.6 has 29.