Model comparison
Codellama 34b Instruct vs GLM-4.6V
GLM-4.6V is the stronger model overall, scoring 41.3 to 30.8 on the Noometry Index.
Last verified . 9 shared benchmarks.
MetaSummary
- They share 9 benchmarks with published results for both. Codellama 34b Instruct scores higher in 0 categories and GLM-4.6V in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.6V leads 56.6 to 28.2.
Side by side
| Codellama 34b Instruct | GLM-4.6V | |
|---|---|---|
| Provider | Meta | Z.ai (Zhipu) |
| Noometry Index | 30.8 | 41.3 |
| Released | — | 2025-12-08 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $0.90 |
| Results tracked | 14 | 12 |
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Category by category
Coding GLM-4.6V leads
Codellama 34b Instruct: 28.5 (#314), GLM-4.6V: 40.9 (#128)
| Benchmark | Codellama 34b Instruct | GLM-4.6V |
|---|---|---|
| LMArena Coding | 1046 | 1390 |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Reasoning GLM-4.6V leads
Codellama 34b Instruct: 19.6 (#255), GLM-4.6V: 27.6 (#115)
| Benchmark | Codellama 34b Instruct | GLM-4.6V |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1368 |
Math Not comparable
Codellama 34b Instruct: 31.0 (#230), GLM-4.6V: —
| Benchmark | Codellama 34b Instruct | GLM-4.6V |
|---|---|---|
| LMArena Math | 1056 | — |
Knowledge Not comparable
Codellama 34b Instruct: —, GLM-4.6V: 38.0 (#149)
| Benchmark | Codellama 34b Instruct | GLM-4.6V |
|---|---|---|
| LMArena Expert | — | 1371 |
Multimodal Not comparable
Codellama 34b Instruct: —, GLM-4.6V: 34.8 (#90)
| Benchmark | Codellama 34b Instruct | GLM-4.6V |
|---|---|---|
| LMArena Vision | — | 1164 |
Multilingual GLM-4.6V leads
Codellama 34b Instruct: 25.8 (#284), GLM-4.6V: 48.6 (#141)
| Benchmark | Codellama 34b Instruct | GLM-4.6V |
|---|---|---|
| LMArena Non-English | 1011 | 1359 |
| LMArena Chinese | 976 | 1425 |
| LMArena Russian | — | 1340 |
Instruction Following GLM-4.6V leads
Codellama 34b Instruct: 52.2 (#291), GLM-4.6V: 71.4 (#151)
| Benchmark | Codellama 34b Instruct | GLM-4.6V |
|---|---|---|
| LMArena Instruction Following | 1028 | 1352 |
Long Context GLM-4.6V leads
Codellama 34b Instruct: 30.9 (#284), GLM-4.6V: 41.3 (#143)
| Benchmark | Codellama 34b Instruct | GLM-4.6V |
|---|---|---|
| LMArena Longer Query | 1013 | 1358 |
Writing & Preference GLM-4.6V leads
Codellama 34b Instruct: 28.2 (#297), GLM-4.6V: 56.6 (#137)
| Benchmark | Codellama 34b Instruct | GLM-4.6V |
|---|---|---|
| LMArena Text | 1066 | 1377 |
| LMArena Creative Writing | 1032 | 1347 |
| LMArena Multi-Turn | 1015 | 1360 |
Frequently asked questions
Is Codellama 34b Instruct better than GLM-4.6V?
GLM-4.6V is the stronger model overall, scoring 41.3 to 30.8 on the Noometry Index.
Is Codellama 34b Instruct or GLM-4.6V better for coding?
GLM-4.6V scores higher on coding benchmarks: 40.9 versus 28.5 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and GLM-4.6V share?
9 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and GLM-4.6V has 12.