Model comparison
GLM-5.1 vs Llama 3-70B
GLM-5.1 is the stronger model overall, scoring 47.8 to 28.8 on the Noometry Index.
Last verified . 20 shared benchmarks.
MetaSummary
- They share 20 benchmarks with published results for both. GLM-5.1 scores higher in 9 categories and Llama 3-70B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5.1 leads 49.7 to 12.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 93.3% for GLM-5.1 and 4.3% for Llama 3-70B.
Side by side
| GLM-5.1 | Llama 3-70B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 47.8 | 28.8 |
| Released | 2026-04-07 | 2024-04-18 |
| Weights | Open | Open |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.40 | — |
| Output $ / M tokens | $4.40 | — |
| Results tracked | 41 | 31 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-5.1 leads
GLM-5.1: 48.7 (#55), Llama 3-70B: 35.8 (#218)
| Benchmark | GLM-5.1 | Llama 3-70B |
|---|---|---|
| LMArena Coding | 1485 | 1206 |
| SWE-bench Verified | 74.2% | — |
| LMArena WebDev | 1508 | — |
| SciCode | 43.8% | — |
| WeirdML | 57.1% | — |
| BigCodeBench Instruct | — | 43.6% |
| BigCodeBench Complete | — | 54.5% |
| ALE-Bench | 887.1 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |
Agentic & Tool Use GLM-5.1 leads
GLM-5.1: 24.9 (#113), Llama 3-70B: 21.1 (#139)
| Benchmark | GLM-5.1 | Llama 3-70B |
|---|---|---|
| APEX-Agents | 40.9% | — |
| Cybench | — | 5% |
| ExploitBench | 18.1% | — |
| GBAEval | 0% | — |
| Vending-Bench 2 | 5,634 | — |
Reasoning GLM-5.1 leads
GLM-5.1: 39.1 (#60), Llama 3-70B: 18.0 (#288)
| Benchmark | GLM-5.1 | Llama 3-70B |
|---|---|---|
| LMArena Hard Prompts | 1472 | 1195 |
| Epoch Capabilities Index | 149.84 | 122.93 |
| SimpleBench | 55.1% | — |
| Kagi LLM Benchmark | — | 35.1% |
| NYT Connections (extended) | 77.7% | — |
| CritPt | 4.6% | — |
| Chess Puzzles | 19% | — |
| Thematic Generalization | 69.8% | — |
| DTBench | — | 54.2% |
| ForecastBench | — | 57.1 |
| WinoGrande | — | 83.5% |
Math GLM-5.1 leads
GLM-5.1: 49.7 (#60), Llama 3-70B: 12.8 (#305)
| Benchmark | GLM-5.1 | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 93.3% | 4.3% |
| LMArena Math | 1473 | 1218 |
| FrontierMath (Tiers 1-3) | 36.8% | — |
| MathArena Final-Answer Competitions | 67.1% | — |
| ProofBench | 22.2% | — |
| MATH Level 5 | — | 22.6% |
| FrontierMath (Feb 2025 set) | 33.4% | — |
| FrontierMath Tier 4 (v1) | 12.5% | — |
Knowledge GLM-5.1 leads
GLM-5.1: 54.9 (#50), Llama 3-70B: 20.8 (#277)
| Benchmark | GLM-5.1 | Llama 3-70B |
|---|---|---|
| GPQA Diamond | 89.9% | 40.6% |
| LMArena Expert | 1476 | 1149 |
| SimpleQA Verified | 34% | — |
| MMLU | — | 79.3% |
Multilingual GLM-5.1 leads
GLM-5.1: 55.0 (#36), Llama 3-70B: 33.6 (#251)
| Benchmark | GLM-5.1 | Llama 3-70B |
|---|---|---|
| LMArena Non-English | 1447 | 1142 |
| LMArena Chinese | 1515 | 1114 |
| LMArena French | 1474 | 1232 |
| LMArena German | 1465 | 1169 |
| LMArena Japanese | 1434 | 1017 |
| LMArena Korean | 1418 | 1017 |
| LMArena Russian | 1454 | 1159 |
| LMArena Spanish | 1469 | 1241 |
Instruction Following GLM-5.1 leads
GLM-5.1: 76.3 (#42), Llama 3-70B: 62.5 (#238)
| Benchmark | GLM-5.1 | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | 1451 | 1194 |
Long Context GLM-5.1 leads
GLM-5.1: 44.9 (#53), Llama 3-70B: 35.6 (#240)
| Benchmark | GLM-5.1 | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | 1466 | 1174 |
Writing & Preference GLM-5.1 leads
GLM-5.1: 66.9 (#31), Llama 3-70B: 42.8 (#231)
| Benchmark | GLM-5.1 | Llama 3-70B |
|---|---|---|
| LMArena Text | 1461 | 1221 |
| LMArena Creative Writing | 1453 | 1210 |
| LMArena Multi-Turn | 1472 | 1223 |
| EQ-Bench Creative Writing | 1592 | — |
Frequently asked questions
Is GLM-5.1 better than Llama 3-70B?
GLM-5.1 is the stronger model overall, scoring 47.8 to 28.8 on the Noometry Index.
Is GLM-5.1 or Llama 3-70B better for coding?
GLM-5.1 scores higher on coding benchmarks: 48.7 versus 35.8 in the Noometry coding category.
How many benchmarks do GLM-5.1 and Llama 3-70B share?
20 benchmarks have published results for both models. GLM-5.1 has 41 scored results on Noometry and Llama 3-70B has 31.