Model comparison
MiMo-V2.6-Pro vs MiniMax-M2
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 37.4 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. MiMo-V2.6-Pro scores higher in 9 categories and MiniMax-M2 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where MiMo-V2.6-Pro leads 43.1 to 19.4.
- Both cost about the same: $0.43 input and $0.87 output per million tokens.
- MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 205K.
Side by side
| MiMo-V2.6-Pro | MiniMax-M2 | |
|---|---|---|
| Provider | Xiaomi | MiniMax |
| Noometry Index | 50.3 | 37.4 |
| Released | 2026-09-21 | 2025-10-27 |
| Weights | Open | Open |
| Context window | 1.05M | 205K |
| Max output | 131K | 131K |
| Input $ / M tokens | $0.43 | $0.30 |
| Output $ / M tokens | $0.87 | $1.20 |
| Results tracked | 19 | 21 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 55.5 (#23), MiniMax-M2: 39.3 (#159)
| Benchmark | MiMo-V2.6-Pro | MiniMax-M2 |
|---|---|---|
| LMArena WebDev | 1629 | 1297 |
| LMArena Coding | 1534 | 1370 |
| SWE-bench Verified (bash only) | — | 61% |
| SciCode | 60.9% | — |
| ALE-Bench | 1,158 | — |
Agentic & Tool Use MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 37.5 (#35), MiniMax-M2: 25.1 (#109)
| Benchmark | MiMo-V2.6-Pro | MiniMax-M2 |
|---|---|---|
| Terminal-Bench | — | 30% |
| APEX-Agents | 59.5% | — |
| Vending-Bench 2 | — | 160.6 |
Reasoning MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 43.1 (#50), MiniMax-M2: 19.4 (#258)
| Benchmark | MiMo-V2.6-Pro | MiniMax-M2 |
|---|---|---|
| LMArena Hard Prompts | 1512 | 1357 |
| Kagi LLM Benchmark | — | 57.8% |
| NYT Connections (extended) | — | 14.8% |
| CritPt | 26.6% | — |
Math MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 54.5 (#45), MiniMax-M2: 37.3 (#160)
| Benchmark | MiMo-V2.6-Pro | MiniMax-M2 |
|---|---|---|
| LMArena Math | 1494 | 1352 |
| ProofBench | 70% | — |
Knowledge MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 43.5 (#92), MiniMax-M2: 37.0 (#163)
| Benchmark | MiMo-V2.6-Pro | MiniMax-M2 |
|---|---|---|
| LMArena Expert | 1543 | 1337 |
Multimodal Not comparable
MiMo-V2.6-Pro: 40.8 (#43), MiniMax-M2: —
| Benchmark | MiMo-V2.6-Pro | MiniMax-M2 |
|---|---|---|
| LMArena Vision | 1264 | — |
Multilingual MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 56.9 (#14), MiniMax-M2: 45.3 (#171)
| Benchmark | MiMo-V2.6-Pro | MiniMax-M2 |
|---|---|---|
| LMArena Non-English | 1474 | 1313 |
| LMArena Chinese | 1529 | 1366 |
| LMArena Russian | 1480 | 1331 |
| LMArena French | — | 1335 |
| LMArena German | — | 1355 |
| LMArena Spanish | — | 1326 |
Instruction Following MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 78.2 (#12), MiniMax-M2: 70.2 (#166)
| Benchmark | MiMo-V2.6-Pro | MiniMax-M2 |
|---|---|---|
| LMArena Instruction Following | 1493 | 1328 |
Long Context MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 46.0 (#27), MiniMax-M2: 40.5 (#153)
| Benchmark | MiMo-V2.6-Pro | MiniMax-M2 |
|---|---|---|
| LMArena Longer Query | 1501 | 1331 |
Writing & Preference MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 66.8 (#33), MiniMax-M2: 53.0 (#162)
| Benchmark | MiMo-V2.6-Pro | MiniMax-M2 |
|---|---|---|
| LMArena Text | 1492 | 1340 |
| LMArena Creative Writing | 1468 | 1286 |
| LMArena Multi-Turn | 1464 | 1361 |
Frequently asked questions
Is MiMo-V2.6-Pro better than MiniMax-M2?
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 37.4 on the Noometry Index.
Which is cheaper, MiMo-V2.6-Pro or MiniMax-M2?
MiniMax-M2 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; MiMo-V2.6-Pro lists at $0.43 and $0.87.
Is MiMo-V2.6-Pro or MiniMax-M2 better for coding?
MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 39.3 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.6-Pro does, with 1.05M tokens against 205K.
How many benchmarks do MiMo-V2.6-Pro and MiniMax-M2 share?
13 benchmarks have published results for both models. MiMo-V2.6-Pro has 19 scored results on Noometry and MiniMax-M2 has 21.