Model comparison
Devstral Small 2505 vs GLM-4.7
GLM-4.7 is the stronger model overall, scoring 42.0 to 34.3 on the Noometry Index. Devstral Small 2505 costs 6.7× less per token, which makes it the better buy when GLM-4.7's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Mistral AISummary
- They share 2 benchmarks with published results for both. Devstral Small 2505 scores higher in 0 categories and GLM-4.7 in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in coding, where GLM-4.7 leads 44.0 to 38.9.
- The biggest single-benchmark swing is SciCode: 28.8% for Devstral Small 2505 and 45.1% for GLM-4.7.
- Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.60 / $2.20 for GLM-4.7.
- GLM-4.7 accepts more context: 205K tokens versus 128K.
Side by side
| Devstral Small 2505 | GLM-4.7 | |
|---|---|---|
| Provider | Mistral AI | Z.ai (Zhipu) |
| Noometry Index | 34.3 | 42.0 |
| Released | 2025-05-07 | 2025-12-22 |
| Weights | Open | Open |
| Context window | 128K | 205K |
| Max output | 128K | 131K |
| Input $ / M tokens | $0.10 | $0.60 |
| Output $ / M tokens | $0.30 | $2.20 |
| Results tracked | 4 | 36 |
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Category by category
Coding GLM-4.7 leads
Devstral Small 2505: 38.9 (#166), GLM-4.7: 44.0 (#79)
| Benchmark | Devstral Small 2505 | GLM-4.7 |
|---|---|---|
| SciCode | 28.8% | 45.1% |
| SWE-bench Verified (bash only) | 56.4% | — |
| LMArena WebDev | — | 1435 |
| LMArena Coding | — | 1454 |
| ALE-Bench | — | 399.48 |
Agentic & Tool Use Not comparable
Devstral Small 2505: —, GLM-4.7: 26.5 (#103)
| Benchmark | Devstral Small 2505 | GLM-4.7 |
|---|---|---|
| Terminal-Bench | — | 33.4% |
| Vending-Bench 2 | — | 2,377 |
Reasoning GLM-4.7 leads
Devstral Small 2505: 19.7 (#252), GLM-4.7: 24.3 (#164)
| Benchmark | Devstral Small 2505 | GLM-4.7 |
|---|---|---|
| CritPt | 0% | 1.7% |
| SimpleBench | — | 47.7% |
| Kagi LLM Benchmark | 37.7% | — |
| Chess Puzzles | — | 6% |
| LMArena Hard Prompts | — | 1443 |
| Epoch Capabilities Index | — | 143.51 |
Math Not comparable
Devstral Small 2505: —, GLM-4.7: 38.6 (#135)
| Benchmark | Devstral Small 2505 | GLM-4.7 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 83.3% |
| ProofBench | — | 6% |
| LMArena Math | — | 1423 |
| FrontierMath (Feb 2025 set) | — | 2.4% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Not comparable
Devstral Small 2505: —, GLM-4.7: 47.0 (#80)
| Benchmark | Devstral Small 2505 | GLM-4.7 |
|---|---|---|
| GPQA Diamond | — | 83.3% |
| SimpleQA Verified | — | 32.2% |
| Vectara Hallucination Rate | — | 11.7% |
| LMArena Expert | — | 1424 |
Multilingual Not comparable
Devstral Small 2505: —, GLM-4.7: 52.8 (#79)
| Benchmark | Devstral Small 2505 | GLM-4.7 |
|---|---|---|
| LMArena Non-English | — | 1417 |
| LMArena Chinese | — | 1495 |
| LMArena French | — | 1432 |
| LMArena German | — | 1424 |
| LMArena Japanese | — | 1439 |
| LMArena Korean | — | 1399 |
| LMArena Russian | — | 1423 |
| LMArena Spanish | — | 1434 |
Instruction Following Not comparable
Devstral Small 2505: —, GLM-4.7: 74.4 (#95)
| Benchmark | Devstral Small 2505 | GLM-4.7 |
|---|---|---|
| LMArena Instruction Following | — | 1411 |
Long Context Not comparable
Devstral Small 2505: —, GLM-4.7: 42.8 (#116)
| Benchmark | Devstral Small 2505 | GLM-4.7 |
|---|---|---|
| CL-bench | — | 15.9% |
| CL-bench Life | — | 10.9% |
| LMArena Longer Query | — | 1432 |
Writing & Preference Not comparable
Devstral Small 2505: —, GLM-4.7: 60.9 (#93)
| Benchmark | Devstral Small 2505 | GLM-4.7 |
|---|---|---|
| LMArena Text | — | 1435 |
| LMArena Creative Writing | — | 1401 |
| EQ-Bench Creative Writing | — | 1413 |
| LMArena Multi-Turn | — | 1446 |
Frequently asked questions
Is Devstral Small 2505 better than GLM-4.7?
GLM-4.7 is the stronger model overall, scoring 42.0 to 34.3 on the Noometry Index. Devstral Small 2505 costs 6.7× less per token, which makes it the better buy when GLM-4.7's lead doesn't matter for your workload.
Which is cheaper, Devstral Small 2505 or GLM-4.7?
Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; GLM-4.7 lists at $0.60 and $2.20.
Is Devstral Small 2505 or GLM-4.7 better for coding?
GLM-4.7 scores higher on coding benchmarks: 44.0 versus 38.9 in the Noometry coding category.
Which has the bigger context window?
GLM-4.7 does, with 205K tokens against 128K.
How many benchmarks do Devstral Small 2505 and GLM-4.7 share?
2 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and GLM-4.7 has 36.