Model comparison
Codellama 70b Instruct vs GLM-5.1
GLM-5.1 is the stronger model overall, scoring 47.8 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-5.1 in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-5.1 leads 66.9 to 33.4.
Side by side
| Codellama 70b Instruct | GLM-5.1 | |
|---|---|---|
| Provider | Meta | Z.ai (Zhipu) |
| Noometry Index | 33.7 | 47.8 |
| Released | — | 2026-04-07 |
| Weights | Open | Open |
| Context window | — | 200K |
| Max output | — | 131K |
| Input $ / M tokens | — | $1.40 |
| Output $ / M tokens | — | $4.40 |
| Results tracked | 7 | 41 |
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Category by category
Coding GLM-5.1 leads
Codellama 70b Instruct: 37.6 (#193), GLM-5.1: 48.7 (#55)
| Benchmark | Codellama 70b Instruct | GLM-5.1 |
|---|---|---|
| SWE-bench Verified | — | 74.2% |
| LMArena WebDev | — | 1508 |
| SciCode | — | 43.8% |
| WeirdML | — | 57.1% |
| BigCodeBench Instruct | 40.7% | — |
| LMArena Coding | — | 1485 |
| BigCodeBench Complete | 49.6% | — |
| ALE-Bench | — | 887.1 |
| HumanEval+ | 65.9% | — |
Agentic & Tool Use Not comparable
Codellama 70b Instruct: —, GLM-5.1: 24.9 (#113)
| Benchmark | Codellama 70b Instruct | GLM-5.1 |
|---|---|---|
| APEX-Agents | — | 40.9% |
| ExploitBench | — | 18.1% |
| GBAEval | — | 0% |
| Vending-Bench 2 | — | 5,634 |
Reasoning GLM-5.1 leads
Codellama 70b Instruct: 20.1 (#242), GLM-5.1: 39.1 (#60)
| Benchmark | Codellama 70b Instruct | GLM-5.1 |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1472 |
| SimpleBench | — | 55.1% |
| NYT Connections (extended) | — | 77.7% |
| CritPt | — | 4.6% |
| Chess Puzzles | — | 19% |
| Thematic Generalization | — | 69.8% |
| Epoch Capabilities Index | — | 149.84 |
Math Not comparable
Codellama 70b Instruct: —, GLM-5.1: 49.7 (#60)
| Benchmark | Codellama 70b Instruct | GLM-5.1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 36.8% |
| MathArena Final-Answer Competitions | — | 67.1% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
| ProofBench | — | 22.2% |
| LMArena Math | — | 1473 |
| FrontierMath (Feb 2025 set) | — | 33.4% |
| FrontierMath Tier 4 (v1) | — | 12.5% |
Knowledge Not comparable
Codellama 70b Instruct: —, GLM-5.1: 54.9 (#50)
| Benchmark | Codellama 70b Instruct | GLM-5.1 |
|---|---|---|
| GPQA Diamond | — | 89.9% |
| SimpleQA Verified | — | 34% |
| LMArena Expert | — | 1476 |
Multilingual GLM-5.1 leads
Codellama 70b Instruct: 24.8 (#288), GLM-5.1: 55.0 (#36)
| Benchmark | Codellama 70b Instruct | GLM-5.1 |
|---|---|---|
| LMArena Non-English | 992 | 1447 |
| LMArena Chinese | — | 1515 |
| LMArena French | — | 1474 |
| LMArena German | — | 1465 |
| LMArena Japanese | — | 1434 |
| LMArena Korean | — | 1418 |
| LMArena Russian | — | 1454 |
| LMArena Spanish | — | 1469 |
Instruction Following GLM-5.1 leads
Codellama 70b Instruct: 51.9 (#293), GLM-5.1: 76.3 (#42)
| Benchmark | Codellama 70b Instruct | GLM-5.1 |
|---|---|---|
| LMArena Instruction Following | 1024 | 1451 |
Long Context Not comparable
Codellama 70b Instruct: —, GLM-5.1: 44.9 (#53)
| Benchmark | Codellama 70b Instruct | GLM-5.1 |
|---|---|---|
| LMArena Longer Query | — | 1466 |
Writing & Preference GLM-5.1 leads
Codellama 70b Instruct: 33.4 (#277), GLM-5.1: 66.9 (#31)
| Benchmark | Codellama 70b Instruct | GLM-5.1 |
|---|---|---|
| LMArena Text | 1057 | 1461 |
| LMArena Creative Writing | — | 1453 |
| EQ-Bench Creative Writing | — | 1592 |
| LMArena Multi-Turn | — | 1472 |
Frequently asked questions
Is Codellama 70b Instruct better than GLM-5.1?
GLM-5.1 is the stronger model overall, scoring 47.8 to 33.7 on the Noometry Index.
Is Codellama 70b Instruct or GLM-5.1 better for coding?
GLM-5.1 scores higher on coding benchmarks: 48.7 versus 37.6 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and GLM-5.1 share?
4 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and GLM-5.1 has 41.