Model comparison

Mercury 2.5 vs MiMo-V2-Flash

MiMo-V2-Flash is the stronger model overall, scoring 41.3 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-Flash's lead doesn't matter for your workload.

Last verified . 3 shared benchmarks.

Mercury 2.5 Inception

33.5

Rank #242 Reported

MiMo-V2-Flash Xiaomi

41.3

Rank #138 Confirmed

Summary

  • They share 3 benchmarks with published results for both. Mercury 2.5 scores higher in 1 category and MiMo-V2-Flash in 2 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where MiMo-V2-Flash leads 38.3 to 23.3.
  • The biggest single-benchmark swing is SciCode: 38.5% for Mercury 2.5 and 25.9% for MiMo-V2-Flash.
  • Mercury 2.5 is cheaper at $0.04 / $0.15 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2-Flash.
  • MiMo-V2-Flash accepts more context: 262K tokens versus 260K.
  • MiMo-V2-Flash has downloadable open weights; the other is API-only.

Side by side

Mercury 2.5 and MiMo-V2-Flash specifications
Mercury 2.5MiMo-V2-Flash
ProviderInceptionXiaomi
Noometry Index33.541.3
Released2026-09-082025-12-16
WeightsProprietaryOpen
Context window260K262K
Max output66K66K
Input $ / M tokens$0.04$0.14
Output $ / M tokens$0.15$0.28
Results tracked421

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Category by category

Coding Mercury 2.5 leads

Mercury 2.5: 39.5 (#156), MiMo-V2-Flash: 36.1 (#211)

Coding benchmarks
BenchmarkMercury 2.5MiMo-V2-Flash
SciCode38.5%25.9%
ALE-Bench301.65737.95
LMArena WebDev—1330
LMArena Coding—1443

Reasoning MiMo-V2-Flash leads

Mercury 2.5: 22.4 (#193), MiMo-V2-Flash: 24.9 (#157)

Reasoning benchmarks
BenchmarkMercury 2.5MiMo-V2-Flash
CritPt0%0%
LMArena Hard Prompts—1420

Math MiMo-V2-Flash leads

Mercury 2.5: 23.3 (#272), MiMo-V2-Flash: 38.3 (#139)

Math benchmarks
BenchmarkMercury 2.5MiMo-V2-Flash
ProofBench3%—
LMArena Math—1396

Knowledge Not comparable

Mercury 2.5: —, MiMo-V2-Flash: 39.7 (#131)

Knowledge benchmarks
BenchmarkMercury 2.5MiMo-V2-Flash
LMArena Expert—1425

Multilingual Not comparable

Mercury 2.5: —, MiMo-V2-Flash: 51.0 (#113)

Multilingual benchmarks
BenchmarkMercury 2.5MiMo-V2-Flash
LMArena Non-English—1392
LMArena Chinese—1462
LMArena French—1429
LMArena German—1395
LMArena Japanese—1325
LMArena Korean—1358
LMArena Russian—1387
LMArena Spanish—1420

Instruction Following Not comparable

Mercury 2.5: —, MiMo-V2-Flash: 73.5 (#120)

Instruction Following benchmarks
BenchmarkMercury 2.5MiMo-V2-Flash
LMArena Instruction Following—1392

Long Context Not comparable

Mercury 2.5: —, MiMo-V2-Flash: 43.0 (#110)

Long Context benchmarks
BenchmarkMercury 2.5MiMo-V2-Flash
LMArena Longer Query—1409

Writing & Preference Not comparable

Mercury 2.5: —, MiMo-V2-Flash: 59.7 (#106)

Writing & Preference benchmarks
BenchmarkMercury 2.5MiMo-V2-Flash
LMArena Text—1411
LMArena Creative Writing—1375
LMArena Multi-Turn—1404

Frequently asked questions

Is Mercury 2.5 better than MiMo-V2-Flash?

MiMo-V2-Flash is the stronger model overall, scoring 41.3 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-Flash's lead doesn't matter for your workload.

Which is cheaper, Mercury 2.5 or MiMo-V2-Flash?

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

Is Mercury 2.5 or MiMo-V2-Flash better for coding?

Mercury 2.5 scores higher on coding benchmarks: 39.5 versus 36.1 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2-Flash does, with 262K tokens against 260K.

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

3 benchmarks have published results for both models. Mercury 2.5 has 4 scored results on Noometry and MiMo-V2-Flash has 21.

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