Model comparison
Mercury 2 vs MiMo-V2-Pro
MiMo-V2-Pro is the stronger model overall, scoring 42.4 to 38.8 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. Mercury 2 scores higher in 1 category and MiMo-V2-Pro in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiMo-V2-Pro leads 43.4 to 33.2.
- Mercury 2 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2-Pro.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 128K.
Side by side
| Mercury 2 | MiMo-V2-Pro | |
|---|---|---|
| Provider | Inception | Xiaomi |
| Noometry Index | 38.8 | 42.4 |
| Released | 2026-02-20 | 2026-03-18 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 50K | 131K |
| Input $ / M tokens | $0.25 | $0.43 |
| Output $ / M tokens | $0.75 | $0.87 |
| Results tracked | 17 | 23 |
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Category by category
Coding MiMo-V2-Pro leads
Mercury 2: 33.2 (#250), MiMo-V2-Pro: 43.4 (#76)
| Benchmark | Mercury 2 | MiMo-V2-Pro |
|---|---|---|
| LMArena WebDev | 1170 | 1433 |
| LMArena Coding | 1391 | 1476 |
| ALE-Bench | 785.58 | 785.17 |
| SciCode | 38.7% | — |
| WeirdML | 43.2% | — |
Reasoning Mercury 2 leads
Mercury 2: 23.0 (#170), MiMo-V2-Pro: 21.3 (#200)
| Benchmark | Mercury 2 | MiMo-V2-Pro |
|---|---|---|
| LMArena Hard Prompts | 1362 | 1457 |
| NYT Connections (extended) | — | 25.8% |
| CritPt | 0.8% | — |
| Thematic Generalization | — | 45.9% |
Math Not comparable
Mercury 2: —, MiMo-V2-Pro: 36.7 (#104)
| Benchmark | Mercury 2 | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | — | 1447 |
Knowledge MiMo-V2-Pro leads
Mercury 2: 35.6 (#170), MiMo-V2-Pro: 40.8 (#106)
| Benchmark | Mercury 2 | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | 1358 | 1479 |
| Vectara Hallucination Rate | 12.3% | — |
Multilingual MiMo-V2-Pro leads
Mercury 2: 46.8 (#153), MiMo-V2-Pro: 52.9 (#77)
| Benchmark | Mercury 2 | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1331 | 1416 |
| LMArena Chinese | 1416 | 1455 |
| LMArena Russian | 1303 | 1427 |
| LMArena French | — | 1470 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1366 |
| LMArena Korean | — | 1401 |
| LMArena Spanish | — | 1458 |
Instruction Following MiMo-V2-Pro leads
Mercury 2: 70.4 (#161), MiMo-V2-Pro: 76.2 (#46)
| Benchmark | Mercury 2 | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1328 | 1444 |
Long Context MiMo-V2-Pro leads
Mercury 2: 40.4 (#149), MiMo-V2-Pro: 41.5 (#133)
| Benchmark | Mercury 2 | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1329 | 1455 |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
Writing & Preference MiMo-V2-Pro leads
Mercury 2: 54.0 (#151), MiMo-V2-Pro: 62.9 (#67)
| Benchmark | Mercury 2 | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1355 | 1436 |
| LMArena Creative Writing | 1289 | 1415 |
| LMArena Multi-Turn | 1358 | 1456 |
Frequently asked questions
Is Mercury 2 better than MiMo-V2-Pro?
MiMo-V2-Pro is the stronger model overall, scoring 42.4 to 38.8 on the Noometry Index.
Which is cheaper, Mercury 2 or MiMo-V2-Pro?
Mercury 2 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; MiMo-V2-Pro lists at $0.43 and $0.87.
Is Mercury 2 or MiMo-V2-Pro better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.4 versus 33.2 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 128K.
How many benchmarks do Mercury 2 and MiMo-V2-Pro share?
13 benchmarks have published results for both models. Mercury 2 has 17 scored results on Noometry and MiMo-V2-Pro has 23.