Model comparison
GLM-5.3-Flash vs Magistral Medium
GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 34.8 on the Noometry Index.
Last verified . 19 shared benchmarks.
Mistral AISummary
- They share 19 benchmarks with published results for both. GLM-5.3-Flash scores higher in 8 categories and Magistral Medium in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 32.9.
- The biggest single-benchmark swing is CritPt: 15.4% for GLM-5.3-Flash and 0.3% for Magistral Medium.
- GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $2 / $5 for Magistral Medium.
- GLM-5.3-Flash accepts more context: 1M tokens versus 128K.
Side by side
| GLM-5.3-Flash | Magistral Medium | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 49.6 | 34.8 |
| Released | 2026-08-20 | 2025-03-17 |
| Weights | Open | Open |
| Context window | 1M | 128K |
| Max output | 131K | 16K |
| Input $ / M tokens | $0.15 | $2 |
| Output $ / M tokens | $0.50 | $5 |
| Results tracked | 36 | 22 |
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Category by category
Coding GLM-5.3-Flash leads
GLM-5.3-Flash: 53.7 (#26), Magistral Medium: 38.6 (#161)
| Benchmark | GLM-5.3-Flash | Magistral Medium |
|---|---|---|
| SciCode | 51.6% | 39.2% |
| LMArena Coding | 1506 | 1319 |
| DeepSWE | 63.4% | — |
| FrontierCode | 31.8% | — |
| LMArena WebDev | 1614 | — |
| ALE-Bench | 303.55 | — |
Agentic & Tool Use Not comparable
GLM-5.3-Flash: 34.3 (#41), Magistral Medium: —
| Benchmark | GLM-5.3-Flash | Magistral Medium |
|---|---|---|
| APEX-Agents | 52.8% | — |
| GDP.pdf | 14% | — |
Reasoning GLM-5.3-Flash leads
GLM-5.3-Flash: 31.7 (#69), Magistral Medium: 8.7 (#342)
| Benchmark | GLM-5.3-Flash | Magistral Medium |
|---|---|---|
| CritPt | 15.4% | 0.3% |
| LMArena Hard Prompts | 1490 | 1267 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 16.2% |
| ARC-AGI-1 | — | 6.1% |
| Chess Puzzles | 14% | — |
| Mystery Game Puzzles | 8% | — |
| Surface Evolver Bench | 52.5% | — |
| Bench to the Future 3 | 0.15 | — |
| Epoch Capabilities Index | 151.9 | — |
Math GLM-5.3-Flash leads
GLM-5.3-Flash: 53.1 (#38), Magistral Medium: 32.4 (#187)
| Benchmark | GLM-5.3-Flash | Magistral Medium |
|---|---|---|
| LMArena Math | 1499 | 1249 |
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 93.9% | — |
| ProofBench | 21% | — |
Knowledge GLM-5.3-Flash leads
GLM-5.3-Flash: 58.4 (#33), Magistral Medium: 32.9 (#199)
| Benchmark | GLM-5.3-Flash | Magistral Medium |
|---|---|---|
| LMArena Expert | 1512 | 1222 |
| GPQA Diamond | 90.2% | — |
Multimodal Not comparable
GLM-5.3-Flash: 42.6 (#25), Magistral Medium: —
| Benchmark | GLM-5.3-Flash | Magistral Medium |
|---|---|---|
| LMArena Vision | 1304 | — |
Multilingual GLM-5.3-Flash leads
GLM-5.3-Flash: 56.2 (#24), Magistral Medium: 39.8 (#219)
| Benchmark | GLM-5.3-Flash | Magistral Medium |
|---|---|---|
| LMArena Non-English | 1462 | 1232 |
| LMArena Chinese | 1529 | 1225 |
| LMArena French | 1495 | 1268 |
| LMArena German | 1457 | 1248 |
| LMArena Japanese | 1420 | 1176 |
| LMArena Korean | 1443 | 1125 |
| LMArena Russian | 1472 | 1224 |
| LMArena Spanish | 1471 | 1269 |
Instruction Following GLM-5.3-Flash leads
GLM-5.3-Flash: 77.8 (#17), Magistral Medium: 66.2 (#207)
| Benchmark | GLM-5.3-Flash | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | 1480 | 1254 |
Long Context GLM-5.3-Flash leads
GLM-5.3-Flash: 45.3 (#41), Magistral Medium: 39.3 (#178)
| Benchmark | GLM-5.3-Flash | Magistral Medium |
|---|---|---|
| LMArena Longer Query | 1479 | 1295 |
Writing & Preference GLM-5.3-Flash leads
GLM-5.3-Flash: 65.4 (#49), Magistral Medium: 46.5 (#214)
| Benchmark | GLM-5.3-Flash | Magistral Medium |
|---|---|---|
| LMArena Text | 1471 | 1255 |
| LMArena Creative Writing | 1440 | 1245 |
| LMArena Multi-Turn | 1471 | 1275 |
Frequently asked questions
Is GLM-5.3-Flash better than Magistral Medium?
GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 34.8 on the Noometry Index.
Which is cheaper, GLM-5.3-Flash or Magistral Medium?
GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; Magistral Medium lists at $2 and $5.
Is GLM-5.3-Flash or Magistral Medium better for coding?
GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 38.6 in the Noometry coding category.
Which has the bigger context window?
GLM-5.3-Flash does, with 1M tokens against 128K.
How many benchmarks do GLM-5.3-Flash and Magistral Medium share?
19 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and Magistral Medium has 22.