Model comparison
GLM-5.1 vs MiMo-V2.6-Pro
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 47.8 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GLM-5.1 scores higher in 2 categories and MiMo-V2.6-Pro in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where MiMo-V2.6-Pro leads 37.5 to 24.9.
- The biggest single-benchmark swing is ProofBench: 22.2% for GLM-5.1 and 70% for MiMo-V2.6-Pro.
- MiMo-V2.6-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $1.40 / $4.40 for GLM-5.1.
- MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 200K.
Side by side
| GLM-5.1 | MiMo-V2.6-Pro | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 47.8 | 50.3 |
| Released | 2026-04-07 | 2026-09-21 |
| Weights | Open | Open |
| Context window | 200K | 1.05M |
| Max output | 131K | 131K |
| Input $ / M tokens | $1.40 | $0.43 |
| Output $ / M tokens | $4.40 | $0.87 |
| Results tracked | 41 | 19 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding MiMo-V2.6-Pro leads
GLM-5.1: 48.7 (#55), MiMo-V2.6-Pro: 55.5 (#23)
| Benchmark | GLM-5.1 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena WebDev | 1508 | 1629 |
| SciCode | 43.8% | 60.9% |
| LMArena Coding | 1485 | 1534 |
| ALE-Bench | 887.1 | 1,158 |
| SWE-bench Verified | 74.2% | — |
| WeirdML | 57.1% | — |
Agentic & Tool Use MiMo-V2.6-Pro leads
GLM-5.1: 24.9 (#113), MiMo-V2.6-Pro: 37.5 (#35)
| Benchmark | GLM-5.1 | MiMo-V2.6-Pro |
|---|---|---|
| APEX-Agents | 40.9% | 59.5% |
| ExploitBench | 18.1% | — |
| GBAEval | 0% | — |
| Vending-Bench 2 | 5,634 | — |
Reasoning MiMo-V2.6-Pro leads
GLM-5.1: 39.1 (#60), MiMo-V2.6-Pro: 43.1 (#50)
| Benchmark | GLM-5.1 | MiMo-V2.6-Pro |
|---|---|---|
| CritPt | 4.6% | 26.6% |
| LMArena Hard Prompts | 1472 | 1512 |
| SimpleBench | 55.1% | — |
| NYT Connections (extended) | 77.7% | — |
| Chess Puzzles | 19% | — |
| Thematic Generalization | 69.8% | — |
| Epoch Capabilities Index | 149.84 | — |
Math MiMo-V2.6-Pro leads
GLM-5.1: 49.7 (#60), MiMo-V2.6-Pro: 54.5 (#45)
| Benchmark | GLM-5.1 | MiMo-V2.6-Pro |
|---|---|---|
| ProofBench | 22.2% | 70% |
| LMArena Math | 1473 | 1494 |
| FrontierMath (Tiers 1-3) | 36.8% | — |
| MathArena Final-Answer Competitions | 67.1% | — |
| OTIS Mock AIME 2024-2025 | 93.3% | — |
| FrontierMath (Feb 2025 set) | 33.4% | — |
| FrontierMath Tier 4 (v1) | 12.5% | — |
Knowledge GLM-5.1 leads
GLM-5.1: 54.9 (#50), MiMo-V2.6-Pro: 43.5 (#92)
| Benchmark | GLM-5.1 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Expert | 1476 | 1543 |
| GPQA Diamond | 89.9% | — |
| SimpleQA Verified | 34% | — |
Multimodal Not comparable
GLM-5.1: —, MiMo-V2.6-Pro: 40.8 (#43)
| Benchmark | GLM-5.1 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | — | 1264 |
Multilingual MiMo-V2.6-Pro leads
GLM-5.1: 55.0 (#36), MiMo-V2.6-Pro: 56.9 (#14)
| Benchmark | GLM-5.1 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | 1447 | 1474 |
| LMArena Chinese | 1515 | 1529 |
| LMArena Russian | 1454 | 1480 |
| LMArena French | 1474 | — |
| LMArena German | 1465 | — |
| LMArena Japanese | 1434 | — |
| LMArena Korean | 1418 | — |
| LMArena Spanish | 1469 | — |
Instruction Following MiMo-V2.6-Pro leads
GLM-5.1: 76.3 (#42), MiMo-V2.6-Pro: 78.2 (#12)
| Benchmark | GLM-5.1 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | 1451 | 1493 |
Long Context MiMo-V2.6-Pro leads
GLM-5.1: 44.9 (#53), MiMo-V2.6-Pro: 46.0 (#27)
| Benchmark | GLM-5.1 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | 1466 | 1501 |
Writing & Preference Too close to call
GLM-5.1: 66.9 (#31), MiMo-V2.6-Pro: 66.8 (#33)
| Benchmark | GLM-5.1 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | 1461 | 1492 |
| LMArena Creative Writing | 1453 | 1468 |
| LMArena Multi-Turn | 1472 | 1464 |
| EQ-Bench Creative Writing | 1592 | — |
Frequently asked questions
Is GLM-5.1 better than MiMo-V2.6-Pro?
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 47.8 on the Noometry Index.
Which is cheaper, GLM-5.1 or MiMo-V2.6-Pro?
MiMo-V2.6-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; GLM-5.1 lists at $1.40 and $4.40.
Is GLM-5.1 or MiMo-V2.6-Pro better for coding?
MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 48.7 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.6-Pro does, with 1.05M tokens against 200K.
How many benchmarks do GLM-5.1 and MiMo-V2.6-Pro share?
18 benchmarks have published results for both models. GLM-5.1 has 41 scored results on Noometry and MiMo-V2.6-Pro has 19.