Model comparison
Mercury vs MiMo-V2.5-Pro
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 37.6 on the Noometry Index.
Last verified . 8 shared benchmarks.
Summary
- They share 8 benchmarks with published results for both. Mercury scores higher in 0 categories and MiMo-V2.5-Pro in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2.5-Pro leads 65.3 to 46.2.
- MiMo-V2.5-Pro has downloadable open weights; the other is API-only.
Side by side
| Mercury | MiMo-V2.5-Pro | |
|---|---|---|
| Provider | Inception | Xiaomi |
| Noometry Index | 37.6 | 45.2 |
| Released | — | 2026-04-22 |
| Weights | Proprietary | Open |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.43 |
| Output $ / M tokens | — | $0.87 |
| Results tracked | 9 | 27 |
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Category by category
Coding MiMo-V2.5-Pro leads
Mercury: 38.7 (#170), MiMo-V2.5-Pro: 47.4 (#60)
| Benchmark | Mercury | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Coding | 1322 | 1503 |
| LMArena WebDev | — | 1479 |
| SciCode | — | 50.2% |
| ALE-Bench | — | 899.8 |
Reasoning MiMo-V2.5-Pro leads
Mercury: 17.5 (#293), MiMo-V2.5-Pro: 26.8 (#130)
| Benchmark | Mercury | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Hard Prompts | 1285 | 1488 |
| Kagi LLM Benchmark | 21.6% | — |
| NYT Connections (extended) | — | 34.4% |
| CritPt | — | 4% |
| DTBench | — | 84.5% |
| LMCA | — | 29.5% |
Math Not comparable
Mercury: —, MiMo-V2.5-Pro: 40.0 (#96)
| Benchmark | Mercury | MiMo-V2.5-Pro |
|---|---|---|
| ProofBench | — | 22% |
| LMArena Math | — | 1481 |
Knowledge Not comparable
Mercury: —, MiMo-V2.5-Pro: 42.2 (#98)
| Benchmark | Mercury | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Expert | — | 1503 |
Multilingual MiMo-V2.5-Pro leads
Mercury: 41.6 (#206), MiMo-V2.5-Pro: 55.1 (#34)
| Benchmark | Mercury | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Non-English | 1260 | 1449 |
| LMArena Chinese | — | 1507 |
| LMArena French | — | 1488 |
| LMArena German | — | 1458 |
| LMArena Japanese | — | 1412 |
| LMArena Korean | — | 1437 |
| LMArena Russian | — | 1450 |
| LMArena Spanish | — | 1471 |
Instruction Following MiMo-V2.5-Pro leads
Mercury: 65.2 (#224), MiMo-V2.5-Pro: 77.5 (#21)
| Benchmark | Mercury | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Instruction Following | 1239 | 1477 |
Long Context MiMo-V2.5-Pro leads
Mercury: 38.4 (#198), MiMo-V2.5-Pro: 45.4 (#37)
| Benchmark | Mercury | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Longer Query | 1266 | 1483 |
Writing & Preference MiMo-V2.5-Pro leads
Mercury: 46.2 (#221), MiMo-V2.5-Pro: 65.3 (#49)
| Benchmark | Mercury | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Text | 1282 | 1465 |
| LMArena Creative Writing | 1191 | 1440 |
| LMArena Multi-Turn | 1282 | 1477 |
| EQ-Bench Creative Writing | — | 1493 |
| EQ-Bench 4 | — | 1208 |
Frequently asked questions
Is Mercury better than MiMo-V2.5-Pro?
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 37.6 on the Noometry Index.
Is Mercury or MiMo-V2.5-Pro better for coding?
MiMo-V2.5-Pro scores higher on coding benchmarks: 47.4 versus 38.7 in the Noometry coding category.
How many benchmarks do Mercury and MiMo-V2.5-Pro share?
8 benchmarks have published results for both models. Mercury has 9 scored results on Noometry and MiMo-V2.5-Pro has 27.