Model comparison

Mercury 2.5 vs MiMo-V2.5

MiMo-V2.5 is the stronger model overall, scoring 43.4 to 33.5 on the Noometry Index. Mercury 2.5 costs 2.6× less per token, which makes it the better buy when MiMo-V2.5's lead doesn't matter for your workload.

Last verified . 4 shared benchmarks.

Mercury 2.5 Inception

33.5

Rank #242 Reported

MiMo-V2.5 Xiaomi

43.4

Rank #93 Confirmed

Summary

  • They share 4 benchmarks with published results for both. Mercury 2.5 scores higher in 0 categories and MiMo-V2.5 in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where MiMo-V2.5 leads 36.8 to 23.3.
  • The biggest single-benchmark swing is ProofBench: 3% for Mercury 2.5 and 16% for MiMo-V2.5.
  • Mercury 2.5 is cheaper at $0.04 / $0.15 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2.5.
  • MiMo-V2.5 accepts more context: 1.05M tokens versus 260K.
  • MiMo-V2.5 has downloadable open weights; the other is API-only.

Side by side

Mercury 2.5 and MiMo-V2.5 specifications
Mercury 2.5MiMo-V2.5
ProviderInceptionXiaomi
Noometry Index33.543.4
Released2026-09-082026-04-22
WeightsProprietaryOpen
Context window260K1.05M
Max output66K131K
Input $ / M tokens$0.04$0.14
Output $ / M tokens$0.15$0.28
Results tracked423

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Category by category

Coding MiMo-V2.5 leads

Mercury 2.5: 39.5 (#156), MiMo-V2.5: 43.9 (#81)

Coding benchmarks
BenchmarkMercury 2.5MiMo-V2.5
SciCode38.5%43.1%
ALE-Bench301.65513.95
LMArena WebDev—1438
LMArena Coding—1469

Reasoning MiMo-V2.5 leads

Mercury 2.5: 22.4 (#193), MiMo-V2.5: 28.6 (#101)

Reasoning benchmarks
BenchmarkMercury 2.5MiMo-V2.5
CritPt0%3.7%
LMArena Hard Prompts—1450

Math MiMo-V2.5 leads

Mercury 2.5: 23.3 (#272), MiMo-V2.5: 36.8 (#163)

Math benchmarks
BenchmarkMercury 2.5MiMo-V2.5
ProofBench3%16%
LMArena Math—1436

Knowledge Not comparable

Mercury 2.5: —, MiMo-V2.5: 40.8 (#115)

Knowledge benchmarks
BenchmarkMercury 2.5MiMo-V2.5
LMArena Expert—1460

Multimodal Not comparable

Mercury 2.5: —, MiMo-V2.5: 39.8 (#54)

Multimodal benchmarks
BenchmarkMercury 2.5MiMo-V2.5
LMArena Vision—1247

Multilingual Not comparable

Mercury 2.5: —, MiMo-V2.5: 51.9 (#99)

Multilingual benchmarks
BenchmarkMercury 2.5MiMo-V2.5
LMArena Non-English—1404
LMArena Chinese—1468
LMArena French—1447
LMArena German—1421
LMArena Japanese—1306
LMArena Korean—1363
LMArena Russian—1395
LMArena Spanish—1416

Instruction Following Not comparable

Mercury 2.5: —, MiMo-V2.5: 75.5 (#60)

Instruction Following benchmarks
BenchmarkMercury 2.5MiMo-V2.5
LMArena Instruction Following—1434

Long Context Not comparable

Mercury 2.5: —, MiMo-V2.5: 44.2 (#73)

Long Context benchmarks
BenchmarkMercury 2.5MiMo-V2.5
LMArena Longer Query—1445

Writing & Preference Not comparable

Mercury 2.5: —, MiMo-V2.5: 61.6 (#86)

Writing & Preference benchmarks
BenchmarkMercury 2.5MiMo-V2.5
LMArena Text—1428
LMArena Creative Writing—1393
LMArena Multi-Turn—1445

Frequently asked questions

Is Mercury 2.5 better than MiMo-V2.5?

MiMo-V2.5 is the stronger model overall, scoring 43.4 to 33.5 on the Noometry Index. Mercury 2.5 costs 2.6× less per token, which makes it the better buy when MiMo-V2.5's lead doesn't matter for your workload.

Which is cheaper, Mercury 2.5 or MiMo-V2.5?

Mercury 2.5 is cheaper. It lists at $0.04 per million input tokens and $0.15 per million output tokens; MiMo-V2.5 lists at $0.14 and $0.28.

Is Mercury 2.5 or MiMo-V2.5 better for coding?

MiMo-V2.5 scores higher on coding benchmarks: 43.9 versus 39.5 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.5 does, with 1.05M tokens against 260K.

How many benchmarks do Mercury 2.5 and MiMo-V2.5 share?

4 benchmarks have published results for both models. Mercury 2.5 has 4 scored results on Noometry and MiMo-V2.5 has 23.

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