Model comparison
GLM-5.3-Flash vs MiniMax M1
GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 40.3 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GLM-5.3-Flash scores higher in 8 categories and MiniMax M1 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 36.4.
- GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $0.55 / $2.20 for MiniMax M1.
Side by side
| GLM-5.3-Flash | MiniMax M1 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | MiniMax |
| Noometry Index | 51.8 | 40.3 |
| Released | 2026-08-20 | 2025-06-13 |
| Weights | Open | Open |
| Context window | 1M | 1M |
| Max output | 131K | 40K |
| Input $ / M tokens | $0.15 | $0.55 |
| Output $ / M tokens | $0.50 | $2.20 |
| Results tracked | 40 | 18 |
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Category by category
Coding GLM-5.3-Flash leads
GLM-5.3-Flash: 53.1 (#31), MiniMax M1: 39.9 (#153)
| Benchmark | GLM-5.3-Flash | MiniMax M1 |
|---|---|---|
| LMArena Coding | 1508 | 1359 |
| DeepSWE | 63.4% | — |
| FrontierCode | 31.8% | — |
| CursorBench | 36.8% | — |
| LMArena WebDev | 1609 | — |
| FrontierSWE | 18.1% | — |
| SciCode | 51.6% | — |
| ALE-Bench | 303.55 | — |
Agentic & Tool Use Not comparable
GLM-5.3-Flash: 34.2 (#47), MiniMax M1: —
| Benchmark | GLM-5.3-Flash | MiniMax M1 |
|---|---|---|
| APEX-Agents | 52.8% | — |
| GDP.pdf | 14% | — |
Reasoning GLM-5.3-Flash leads
GLM-5.3-Flash: 48.0 (#42), MiniMax M1: 26.9 (#126)
| Benchmark | GLM-5.3-Flash | MiniMax M1 |
|---|---|---|
| LMArena Hard Prompts | 1491 | 1339 |
| ARC-AGI-2 | 65.8% | — |
| ARC-AGI-1 | 91% | — |
| CritPt | 15.4% | — |
| Chess Puzzles | 14% | — |
| Mystery Game Puzzles | 8% | — |
| Surface Evolver Bench | 52.5% | — |
| Bench to the Future 3 | 0.15 | — |
| Epoch Capabilities Index | 151.88 | — |
Math GLM-5.3-Flash leads
GLM-5.3-Flash: 53.3 (#47), MiniMax M1: 37.5 (#151)
| Benchmark | GLM-5.3-Flash | MiniMax M1 |
|---|---|---|
| LMArena Math | 1500 | 1361 |
| 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 (#36), MiniMax M1: 36.4 (#170)
| Benchmark | GLM-5.3-Flash | MiniMax M1 |
|---|---|---|
| LMArena Expert | 1513 | 1317 |
| GPQA Diamond | 90.2% | — |
Multimodal Not comparable
GLM-5.3-Flash: 42.8 (#27), MiniMax M1: —
| Benchmark | GLM-5.3-Flash | MiniMax M1 |
|---|---|---|
| LMArena Vision | 1296 | — |
Multilingual GLM-5.3-Flash leads
GLM-5.3-Flash: 56.0 (#25), MiniMax M1: 45.8 (#163)
| Benchmark | GLM-5.3-Flash | MiniMax M1 |
|---|---|---|
| LMArena Non-English | 1462 | 1319 |
| LMArena Chinese | 1527 | 1360 |
| LMArena French | 1496 | 1370 |
| LMArena German | 1470 | 1350 |
| LMArena Japanese | 1429 | 1217 |
| LMArena Korean | 1446 | 1266 |
| LMArena Russian | 1469 | 1329 |
| LMArena Spanish | 1471 | 1353 |
Instruction Following GLM-5.3-Flash leads
GLM-5.3-Flash: 77.5 (#20), MiniMax M1: 69.3 (#174)
| Benchmark | GLM-5.3-Flash | MiniMax M1 |
|---|---|---|
| LMArena Instruction Following | 1478 | 1312 |
Long Context GLM-5.3-Flash leads
GLM-5.3-Flash: 45.4 (#39), MiniMax M1: 41.4 (#141)
| Benchmark | GLM-5.3-Flash | MiniMax M1 |
|---|---|---|
| LMArena Longer Query | 1482 | 1326 |
| Fiction.LiveBench | — | 69.4% |
Writing & Preference GLM-5.3-Flash leads
GLM-5.3-Flash: 65.3 (#50), MiniMax M1: 53.1 (#161)
| Benchmark | GLM-5.3-Flash | MiniMax M1 |
|---|---|---|
| LMArena Text | 1471 | 1343 |
| LMArena Creative Writing | 1442 | 1298 |
| LMArena Multi-Turn | 1467 | 1335 |
Frequently asked questions
Is GLM-5.3-Flash better than MiniMax M1?
GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 40.3 on the Noometry Index.
Which is cheaper, GLM-5.3-Flash or MiniMax M1?
GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; MiniMax M1 lists at $0.55 and $2.20.
Is GLM-5.3-Flash or MiniMax M1 better for coding?
GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 39.9 in the Noometry coding category.
Which has the bigger context window?
Both accept 1M tokens.
How many benchmarks do GLM-5.3-Flash and MiniMax M1 share?
17 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and MiniMax M1 has 18.