Model comparison
GLM-5.1 vs Magistral Medium
GLM-5.1 is the stronger model overall, scoring 47.6 to 34.8 on the Noometry Index.
Last verified . 19 shared benchmarks.
Mistral AISummary
- They share 19 benchmarks with published results for both. GLM-5.1 scores higher in 8 categories and Magistral Medium in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-5.1 leads 38.2 to 8.7.
- GLM-5.1 is cheaper at $1.40 / $4.40 per million input/output tokens, against $2 / $5 for Magistral Medium.
- GLM-5.1 accepts more context: 200K tokens versus 128K.
Side by side
| GLM-5.1 | Magistral Medium | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 47.6 | 34.8 |
| Released | 2026-04-07 | 2025-03-17 |
| Weights | Open | Open |
| Context window | 200K | 128K |
| Max output | 131K | 16K |
| Input $ / M tokens | $1.40 | $2 |
| Output $ / M tokens | $4.40 | $5 |
| Results tracked | 41 | 22 |
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Category by category
Coding GLM-5.1 leads
GLM-5.1: 48.5 (#52), Magistral Medium: 38.6 (#161)
| Benchmark | GLM-5.1 | Magistral Medium |
|---|---|---|
| SciCode | 43.8% | 39.2% |
| LMArena Coding | 1486 | 1319 |
| SWE-bench Verified | 74.2% | — |
| LMArena WebDev | 1509 | — |
| WeirdML | 57.1% | — |
| ALE-Bench | 887.1 | — |
Agentic & Tool Use Not comparable
GLM-5.1: 24.8 (#106), Magistral Medium: —
| Benchmark | GLM-5.1 | Magistral Medium |
|---|---|---|
| APEX-Agents | 40.9% | — |
| ExploitBench | 18.1% | — |
| GBAEval | 0% | — |
| Vending-Bench 2 | 5,634 | — |
Reasoning GLM-5.1 leads
GLM-5.1: 38.2 (#57), Magistral Medium: 8.7 (#342)
| Benchmark | GLM-5.1 | Magistral Medium |
|---|---|---|
| CritPt | 4.6% | 0.3% |
| LMArena Hard Prompts | 1472 | 1267 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | 55.1% | — |
| Kagi LLM Benchmark | — | 16.2% |
| NYT Connections (extended) | 77.7% | — |
| ARC-AGI-1 | — | 6.1% |
| Chess Puzzles | 19% | — |
| Thematic Generalization | 69.8% | — |
| Epoch Capabilities Index | 149.86 | — |
Math GLM-5.1 leads
GLM-5.1: 49.0 (#48), Magistral Medium: 32.4 (#187)
| Benchmark | GLM-5.1 | Magistral Medium |
|---|---|---|
| LMArena Math | 1472 | 1249 |
| FrontierMath (Tiers 1-3) | 36.8% | — |
| MathArena Final-Answer Competitions | 67.1% | — |
| OTIS Mock AIME 2024-2025 | 93.3% | — |
| ProofBench | 22.2% | — |
| FrontierMath (Feb 2025 set) | 33.4% | — |
| FrontierMath Tier 4 (v1) | 12.5% | — |
Knowledge GLM-5.1 leads
GLM-5.1: 55.0 (#45), Magistral Medium: 32.9 (#199)
| Benchmark | GLM-5.1 | Magistral Medium |
|---|---|---|
| LMArena Expert | 1477 | 1222 |
| GPQA Diamond | 89.9% | — |
| SimpleQA Verified | 34% | — |
Multilingual GLM-5.1 leads
GLM-5.1: 55.2 (#34), Magistral Medium: 39.8 (#219)
| Benchmark | GLM-5.1 | Magistral Medium |
|---|---|---|
| LMArena Non-English | 1448 | 1232 |
| LMArena Chinese | 1516 | 1225 |
| LMArena French | 1478 | 1268 |
| LMArena German | 1466 | 1248 |
| LMArena Japanese | 1436 | 1176 |
| LMArena Korean | 1423 | 1125 |
| LMArena Russian | 1453 | 1224 |
| LMArena Spanish | 1467 | 1269 |
Instruction Following GLM-5.1 leads
GLM-5.1: 76.5 (#41), Magistral Medium: 66.2 (#207)
| Benchmark | GLM-5.1 | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | 1451 | 1254 |
Long Context GLM-5.1 leads
GLM-5.1: 44.9 (#51), Magistral Medium: 39.3 (#178)
| Benchmark | GLM-5.1 | Magistral Medium |
|---|---|---|
| LMArena Longer Query | 1467 | 1295 |
Writing & Preference GLM-5.1 leads
GLM-5.1: 67.2 (#29), Magistral Medium: 46.5 (#214)
| Benchmark | GLM-5.1 | Magistral Medium |
|---|---|---|
| LMArena Text | 1462 | 1255 |
| LMArena Creative Writing | 1454 | 1245 |
| LMArena Multi-Turn | 1473 | 1275 |
| EQ-Bench Creative Writing | 1592 | — |
Frequently asked questions
Is GLM-5.1 better than Magistral Medium?
GLM-5.1 is the stronger model overall, scoring 47.6 to 34.8 on the Noometry Index.
Which is cheaper, GLM-5.1 or Magistral Medium?
GLM-5.1 is cheaper. It lists at $1.40 per million input tokens and $4.40 per million output tokens; Magistral Medium lists at $2 and $5.
Is GLM-5.1 or Magistral Medium better for coding?
GLM-5.1 scores higher on coding benchmarks: 48.5 versus 38.6 in the Noometry coding category.
Which has the bigger context window?
GLM-5.1 does, with 200K tokens against 128K.
How many benchmarks do GLM-5.1 and Magistral Medium share?
19 benchmarks have published results for both models. GLM-5.1 has 41 scored results on Noometry and Magistral Medium has 22.