Model comparison
Codellama 70b Instruct vs GLM-4.5
GLM-4.5 is the stronger model overall, scoring 42.0 to 33.7 on the Noometry Index.
Last verified . 4 shared benchmarks.
MetaSummary
- They share 4 benchmarks with published results for both. Codellama 70b Instruct scores higher in 0 categories and GLM-4.5 in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.5 leads 52.8 to 24.8.
Side by side
| Codellama 70b Instruct | GLM-4.5 | |
|---|---|---|
| Provider | Meta | Z.ai (Zhipu) |
| Noometry Index | 33.7 | 42.0 |
| Released | — | 2025-07-27 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 98K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $2.20 |
| Results tracked | 7 | 27 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-4.5 leads
Codellama 70b Instruct: 37.6 (#193), GLM-4.5: 41.4 (#125)
| Benchmark | Codellama 70b Instruct | GLM-4.5 |
|---|---|---|
| SWE-bench Verified (bash only) | — | 54.2% |
| WeirdML | — | 40.6% |
| BigCodeBench Instruct | 40.7% | — |
| LMArena Coding | — | 1434 |
| BigCodeBench Complete | 49.6% | — |
| ALE-Bench | — | 344.82 |
| AlgoTune | — | 1.52 |
| HumanEval+ | 65.9% | — |
Reasoning GLM-4.5 leads
Codellama 70b Instruct: 20.1 (#242), GLM-4.5: 28.6 (#100)
| Benchmark | Codellama 70b Instruct | GLM-4.5 |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1429 |
| Kagi LLM Benchmark | — | 57.9% |
Math Not comparable
Codellama 70b Instruct: —, GLM-4.5: 39.0 (#116)
| Benchmark | Codellama 70b Instruct | GLM-4.5 |
|---|---|---|
| LMArena Math | — | 1427 |
Knowledge Not comparable
Codellama 70b Instruct: —, GLM-4.5: 35.9 (#179)
| Benchmark | Codellama 70b Instruct | GLM-4.5 |
|---|---|---|
| Humanity's Last Exam | — | 8.3% |
| Confabulations | — | 11.3% |
| LMArena Expert | — | 1433 |
Multilingual GLM-4.5 leads
Codellama 70b Instruct: 24.8 (#288), GLM-4.5: 52.8 (#77)
| Benchmark | Codellama 70b Instruct | GLM-4.5 |
|---|---|---|
| LMArena Non-English | 992 | 1417 |
| LMArena Chinese | — | 1465 |
| LMArena French | — | 1418 |
| LMArena German | — | 1407 |
| LMArena Japanese | — | 1415 |
| LMArena Korean | — | 1380 |
| LMArena Russian | — | 1414 |
| LMArena Spanish | — | 1454 |
Instruction Following GLM-4.5 leads
Codellama 70b Instruct: 51.9 (#293), GLM-4.5: 74.1 (#104)
| Benchmark | Codellama 70b Instruct | GLM-4.5 |
|---|---|---|
| LMArena Instruction Following | 1024 | 1404 |
Long Context Not comparable
Codellama 70b Instruct: —, GLM-4.5: 38.2 (#201)
| Benchmark | Codellama 70b Instruct | GLM-4.5 |
|---|---|---|
| Fiction.LiveBench | — | 58.3% |
| LMArena Longer Query | — | 1412 |
Writing & Preference GLM-4.5 leads
Codellama 70b Instruct: 33.4 (#277), GLM-4.5: 57.5 (#127)
| Benchmark | Codellama 70b Instruct | GLM-4.5 |
|---|---|---|
| LMArena Text | 1057 | 1430 |
| LMArena Creative Writing | — | 1395 |
| Short-Story Creative Writing | — | 73.4% |
| EQ-Bench Creative Writing | — | 1343 |
| LMArena Multi-Turn | — | 1415 |
Frequently asked questions
Is Codellama 70b Instruct better than GLM-4.5?
GLM-4.5 is the stronger model overall, scoring 42.0 to 33.7 on the Noometry Index.
Is Codellama 70b Instruct or GLM-4.5 better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.4 versus 37.6 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and GLM-4.5 share?
4 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and GLM-4.5 has 27.