Model comparison
Devstral Small 2505 vs GLM-4.6V
GLM-4.6V is the stronger model overall, scoring 41.3 to 34.3 on the Noometry Index. Devstral Small 2505 costs 3.0× less per token, which makes it the better buy when GLM-4.6V's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in reasoning, where GLM-4.6V leads 27.6 to 19.7.
- Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.30 / $0.90 for GLM-4.6V.
Side by side
| Devstral Small 2505 | GLM-4.6V | |
|---|---|---|
| Provider | Mistral AI | Z.ai (Zhipu) |
| Noometry Index | 34.3 | 41.3 |
| Released | 2025-05-07 | 2025-12-08 |
| Weights | Open | Open |
| Context window | 128K | 128K |
| Max output | 128K | 33K |
| Input $ / M tokens | $0.10 | $0.30 |
| Output $ / M tokens | $0.30 | $0.90 |
| Results tracked | 4 | 12 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-4.6V leads
Devstral Small 2505: 38.9 (#166), GLM-4.6V: 40.9 (#128)
| Benchmark | Devstral Small 2505 | GLM-4.6V |
|---|---|---|
| SWE-bench Verified (bash only) | 56.4% | — |
| SciCode | 28.8% | — |
| LMArena Coding | — | 1390 |
Reasoning GLM-4.6V leads
Devstral Small 2505: 19.7 (#252), GLM-4.6V: 27.6 (#115)
| Benchmark | Devstral Small 2505 | GLM-4.6V |
|---|---|---|
| Kagi LLM Benchmark | 37.7% | — |
| CritPt | 0% | — |
| LMArena Hard Prompts | — | 1368 |
Knowledge Not comparable
Devstral Small 2505: —, GLM-4.6V: 38.0 (#149)
| Benchmark | Devstral Small 2505 | GLM-4.6V |
|---|---|---|
| LMArena Expert | — | 1371 |
Multimodal Not comparable
Devstral Small 2505: —, GLM-4.6V: 34.8 (#90)
| Benchmark | Devstral Small 2505 | GLM-4.6V |
|---|---|---|
| LMArena Vision | — | 1164 |
Multilingual Not comparable
Devstral Small 2505: —, GLM-4.6V: 48.6 (#141)
| Benchmark | Devstral Small 2505 | GLM-4.6V |
|---|---|---|
| LMArena Non-English | — | 1359 |
| LMArena Chinese | — | 1425 |
| LMArena Russian | — | 1340 |
Instruction Following Not comparable
Devstral Small 2505: —, GLM-4.6V: 71.4 (#151)
| Benchmark | Devstral Small 2505 | GLM-4.6V |
|---|---|---|
| LMArena Instruction Following | — | 1352 |
Long Context Not comparable
Devstral Small 2505: —, GLM-4.6V: 41.3 (#143)
| Benchmark | Devstral Small 2505 | GLM-4.6V |
|---|---|---|
| LMArena Longer Query | — | 1358 |
Writing & Preference Not comparable
Devstral Small 2505: —, GLM-4.6V: 56.6 (#137)
| Benchmark | Devstral Small 2505 | GLM-4.6V |
|---|---|---|
| LMArena Text | — | 1377 |
| LMArena Creative Writing | — | 1347 |
| LMArena Multi-Turn | — | 1360 |
Frequently asked questions
Is Devstral Small 2505 better than GLM-4.6V?
GLM-4.6V is the stronger model overall, scoring 41.3 to 34.3 on the Noometry Index. Devstral Small 2505 costs 3.0× less per token, which makes it the better buy when GLM-4.6V's lead doesn't matter for your workload.
Which is cheaper, Devstral Small 2505 or GLM-4.6V?
Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; GLM-4.6V lists at $0.30 and $0.90.
Is Devstral Small 2505 or GLM-4.6V better for coding?
GLM-4.6V scores higher on coding benchmarks: 40.9 versus 38.9 in the Noometry coding category.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do Devstral Small 2505 and GLM-4.6V share?
0 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and GLM-4.6V has 12.