Model comparison
DeepSeek-V2.5 (Sep 2024) vs GLM-4.6V
GLM-4.6V is the stronger model overall, scoring 41.3 to 37.6 on the Noometry Index.
Last verified . 11 shared benchmarks.
DeepSeekSummary
- They share 11 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 0 categories and GLM-4.6V in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where GLM-4.6V leads 40.9 to 31.7.
Side by side
| DeepSeek-V2.5 (Sep 2024) | GLM-4.6V | |
|---|---|---|
| Provider | DeepSeek | Z.ai (Zhipu) |
| Noometry Index | 37.6 | 41.3 |
| Released | 2024-09-06 | 2025-12-08 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $0.90 |
| Results tracked | 22 | 12 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-4.6V leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), GLM-4.6V: 40.9 (#128)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GLM-4.6V |
|---|---|---|
| LMArena Coding | 1309 | 1390 |
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning GLM-4.6V leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), GLM-4.6V: 27.6 (#115)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GLM-4.6V |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1368 |
Math Not comparable
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), GLM-4.6V: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GLM-4.6V |
|---|---|---|
| LMArena Math | 1288 | — |
Knowledge GLM-4.6V leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), GLM-4.6V: 38.0 (#149)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GLM-4.6V |
|---|---|---|
| LMArena Expert | 1266 | 1371 |
Multimodal Not comparable
DeepSeek-V2.5 (Sep 2024): —, GLM-4.6V: 34.8 (#90)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GLM-4.6V |
|---|---|---|
| LMArena Vision | — | 1164 |
Multilingual GLM-4.6V leads
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), GLM-4.6V: 48.6 (#141)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GLM-4.6V |
|---|---|---|
| LMArena Non-English | 1273 | 1359 |
| LMArena Chinese | 1318 | 1425 |
| LMArena Russian | 1289 | 1340 |
| LMArena French | 1289 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Spanish | 1248 | — |
Instruction Following GLM-4.6V leads
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), GLM-4.6V: 71.4 (#151)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GLM-4.6V |
|---|---|---|
| LMArena Instruction Following | 1280 | 1352 |
Long Context GLM-4.6V leads
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), GLM-4.6V: 41.3 (#143)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GLM-4.6V |
|---|---|---|
| LMArena Longer Query | 1301 | 1358 |
Writing & Preference GLM-4.6V leads
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), GLM-4.6V: 56.6 (#137)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GLM-4.6V |
|---|---|---|
| LMArena Text | 1294 | 1377 |
| LMArena Creative Writing | 1285 | 1347 |
| LMArena Multi-Turn | 1297 | 1360 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than GLM-4.6V?
GLM-4.6V is the stronger model overall, scoring 41.3 to 37.6 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or GLM-4.6V better for coding?
GLM-4.6V scores higher on coding benchmarks: 40.9 versus 31.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and GLM-4.6V share?
11 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and GLM-4.6V has 12.