Model comparison
GLM-4.5V vs Llama2 70b Steerlm Chat
GLM-4.5V is the stronger model overall, scoring 39.8 to 31.8 on the Noometry Index.
Last verified . 9 shared benchmarks.
NVIDIASummary
- They share 9 benchmarks with published results for both. GLM-4.5V scores higher in 7 categories and Llama2 70b Steerlm Chat in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.5V leads 52.5 to 31.6.
Side by side
| GLM-4.5V | Llama2 70b Steerlm Chat | |
|---|---|---|
| Provider | Z.ai (Zhipu) | NVIDIA |
| Noometry Index | 39.8 | 31.8 |
| Released | 2025-08-11 | — |
| Weights | Open | Open |
| Context window | 64K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $1.80 | — |
| Results tracked | 15 | 9 |
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Category by category
Coding GLM-4.5V leads
GLM-4.5V: 39.5 (#155), Llama2 70b Steerlm Chat: 29.9 (#300)
| Benchmark | GLM-4.5V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Coding | 1347 | 1025 |
Reasoning GLM-4.5V leads
GLM-4.5V: 27.4 (#119), Llama2 70b Steerlm Chat: 20.0 (#246)
| Benchmark | GLM-4.5V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1047 |
| Kagi LLM Benchmark | 59.8% | — |
Math GLM-4.5V leads
GLM-4.5V: 37.4 (#159), Llama2 70b Steerlm Chat: 31.3 (#226)
| Benchmark | GLM-4.5V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Math | 1354 | 1072 |
Knowledge Not comparable
GLM-4.5V: 37.5 (#156), Llama2 70b Steerlm Chat: —
| Benchmark | GLM-4.5V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Expert | 1353 | — |
Multimodal Not comparable
GLM-4.5V: 34.3 (#92), Llama2 70b Steerlm Chat: —
| Benchmark | GLM-4.5V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual GLM-4.5V leads
GLM-4.5V: 44.6 (#177), Llama2 70b Steerlm Chat: 28.8 (#270)
| Benchmark | GLM-4.5V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Non-English | 1303 | 1063 |
| LMArena Chinese | 1337 | — |
| LMArena Russian | 1298 | — |
| LMArena Spanish | 1336 | — |
Instruction Following GLM-4.5V leads
GLM-4.5V: 69.2 (#175), Llama2 70b Steerlm Chat: 54.2 (#279)
| Benchmark | GLM-4.5V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Instruction Following | 1311 | 1060 |
Long Context GLM-4.5V leads
GLM-4.5V: 39.6 (#171), Llama2 70b Steerlm Chat: 30.4 (#288)
| Benchmark | GLM-4.5V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Longer Query | 1304 | 998 |
Writing & Preference GLM-4.5V leads
GLM-4.5V: 52.5 (#170), Llama2 70b Steerlm Chat: 31.6 (#283)
| Benchmark | GLM-4.5V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Text | 1333 | 1098 |
| LMArena Creative Writing | 1295 | 1091 |
| LMArena Multi-Turn | 1332 | 1058 |
Frequently asked questions
Is GLM-4.5V better than Llama2 70b Steerlm Chat?
GLM-4.5V is the stronger model overall, scoring 39.8 to 31.8 on the Noometry Index.
Is GLM-4.5V or Llama2 70b Steerlm Chat better for coding?
GLM-4.5V scores higher on coding benchmarks: 39.5 versus 29.9 in the Noometry coding category.
How many benchmarks do GLM-4.5V and Llama2 70b Steerlm Chat share?
9 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Llama2 70b Steerlm Chat has 9.