Model comparison
GLM-4.6V vs Llama2 70b Steerlm Chat
GLM-4.6V is the stronger model overall, scoring 41.3 to 31.8 on the Noometry Index.
Last verified . 8 shared benchmarks.
NVIDIASummary
- They share 8 benchmarks with published results for both. GLM-4.6V scores higher in 6 categories and Llama2 70b Steerlm Chat in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.6V leads 56.6 to 31.6.
Side by side
| GLM-4.6V | Llama2 70b Steerlm Chat | |
|---|---|---|
| Provider | Z.ai (Zhipu) | NVIDIA |
| Noometry Index | 41.3 | 31.8 |
| 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 | 12 | 9 |
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Category by category
Coding GLM-4.6V leads
GLM-4.6V: 40.9 (#128), Llama2 70b Steerlm Chat: 29.9 (#300)
| Benchmark | GLM-4.6V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Coding | 1390 | 1025 |
Reasoning GLM-4.6V leads
GLM-4.6V: 27.6 (#115), Llama2 70b Steerlm Chat: 20.0 (#246)
| Benchmark | GLM-4.6V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1047 |
Math Not comparable
GLM-4.6V: —, Llama2 70b Steerlm Chat: 31.3 (#226)
| Benchmark | GLM-4.6V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Math | — | 1072 |
Knowledge Not comparable
GLM-4.6V: 38.0 (#149), Llama2 70b Steerlm Chat: —
| Benchmark | GLM-4.6V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Expert | 1371 | — |
Multimodal Not comparable
GLM-4.6V: 34.8 (#90), Llama2 70b Steerlm Chat: —
| Benchmark | GLM-4.6V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Vision | 1164 | — |
Multilingual GLM-4.6V leads
GLM-4.6V: 48.6 (#141), Llama2 70b Steerlm Chat: 28.8 (#270)
| Benchmark | GLM-4.6V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Non-English | 1359 | 1063 |
| LMArena Chinese | 1425 | — |
| LMArena Russian | 1340 | — |
Instruction Following GLM-4.6V leads
GLM-4.6V: 71.4 (#151), Llama2 70b Steerlm Chat: 54.2 (#279)
| Benchmark | GLM-4.6V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Instruction Following | 1352 | 1060 |
Long Context GLM-4.6V leads
GLM-4.6V: 41.3 (#143), Llama2 70b Steerlm Chat: 30.4 (#288)
| Benchmark | GLM-4.6V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Longer Query | 1358 | 998 |
Writing & Preference GLM-4.6V leads
GLM-4.6V: 56.6 (#137), Llama2 70b Steerlm Chat: 31.6 (#283)
| Benchmark | GLM-4.6V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Text | 1377 | 1098 |
| LMArena Creative Writing | 1347 | 1091 |
| LMArena Multi-Turn | 1360 | 1058 |
Frequently asked questions
Is GLM-4.6V better than Llama2 70b Steerlm Chat?
GLM-4.6V is the stronger model overall, scoring 41.3 to 31.8 on the Noometry Index.
Is GLM-4.6V or Llama2 70b Steerlm Chat better for coding?
GLM-4.6V scores higher on coding benchmarks: 40.9 versus 29.9 in the Noometry coding category.
How many benchmarks do GLM-4.6V and Llama2 70b Steerlm Chat share?
8 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Llama2 70b Steerlm Chat has 9.