Model comparison

Grok 4.7 vs MiMo-V2.5

Grok 4.7 is the stronger model overall, scoring 46.6 to 43.0 on the Noometry Index. MiMo-V2.5 costs 17× less per token, which makes it the better buy when Grok 4.7's lead doesn't matter for your workload.

Last verified . 16 shared benchmarks.

Grok 4.7 xAI

46.6

Rank #56 Confirmed

MiMo-V2.5 Xiaomi

43.0

Rank #89 Confirmed

Summary

  • They share 16 benchmarks with published results for both. Grok 4.7 scores higher in 4 categories and MiMo-V2.5 in 5 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Grok 4.7 leads 40.1 to 27.8.
  • The biggest single-benchmark swing is ProofBench: 34% for Grok 4.7 and 16% for MiMo-V2.5.
  • MiMo-V2.5 is cheaper at $0.14 / $0.28 per million input/output tokens, against $2 / $6 for Grok 4.7.
  • MiMo-V2.5 accepts more context: 1.05M tokens versus 500K.
  • MiMo-V2.5 has downloadable open weights; the other is API-only.

Side by side

Grok 4.7 and MiMo-V2.5 specifications
Grok 4.7MiMo-V2.5
ProviderxAIXiaomi
Noometry Index46.643.0
Released2026-09-212026-04-22
WeightsProprietaryOpen
Context window500K1.05M
Max output500K131K
Input $ / M tokens$2$0.14
Output $ / M tokens$6$0.28
Results tracked2123

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Category by category

Coding Grok 4.7 leads

Grok 4.7: 55.0 (#23), MiMo-V2.5: 43.6 (#75)

Coding benchmarks
BenchmarkGrok 4.7MiMo-V2.5
LMArena WebDev16361438
SciCode57.4%43.1%
LMArena Coding14231469
CursorBench46.3%—
FrontierSWE29.5%—
ALE-Bench—513.95

Reasoning Grok 4.7 leads

Grok 4.7: 40.1 (#49), MiMo-V2.5: 27.8 (#98)

Reasoning benchmarks
BenchmarkGrok 4.7MiMo-V2.5
CritPt17.7%3.7%
LMArena Hard Prompts14091450
NYT Connections (extended)76.8%—

Math Grok 4.7 leads

Grok 4.7: 41.1 (#73), MiMo-V2.5: 35.4 (#145)

Math benchmarks
BenchmarkGrok 4.7MiMo-V2.5
ProofBench34%16%
LMArena Math13931436

Knowledge MiMo-V2.5 leads

Grok 4.7: 38.7 (#130), MiMo-V2.5: 40.2 (#109)

Knowledge benchmarks
BenchmarkGrok 4.7MiMo-V2.5
LMArena Expert14131459

Multimodal MiMo-V2.5 leads

Grok 4.7: 28.8 (#107), MiMo-V2.5: 39.0 (#53)

Multimodal benchmarks
BenchmarkGrok 4.7MiMo-V2.5
LMArena Vision—1245
Furniture Assembly20.8%—

Multilingual Too close to call

Grok 4.7: 51.2 (#108), MiMo-V2.5: 52.0 (#96)

Multilingual benchmarks
BenchmarkGrok 4.7MiMo-V2.5
LMArena Non-English13921404
LMArena Chinese14761467
LMArena Russian13961395
LMArena French—1447
LMArena German—1421
LMArena Japanese—1304
LMArena Korean—1363
LMArena Spanish—1412

Instruction Following MiMo-V2.5 leads

Grok 4.7: 74.3 (#98), MiMo-V2.5: 75.7 (#55)

Instruction Following benchmarks
BenchmarkGrok 4.7MiMo-V2.5
LMArena Instruction Following14061433

Long Context Too close to call

Grok 4.7: 43.2 (#97), MiMo-V2.5: 44.1 (#69)

Long Context benchmarks
BenchmarkGrok 4.7MiMo-V2.5
LMArena Longer Query14161444

Writing & Preference Grok 4.7 leads

Grok 4.7: 70.1 (#23), MiMo-V2.5: 61.8 (#82)

Writing & Preference benchmarks
BenchmarkGrok 4.7MiMo-V2.5
LMArena Text13971427
LMArena Creative Writing13911392
LMArena Multi-Turn13891445
EQ-Bench Creative Writing2007—

Frequently asked questions

Is Grok 4.7 better than MiMo-V2.5?

Grok 4.7 is the stronger model overall, scoring 46.6 to 43.0 on the Noometry Index. MiMo-V2.5 costs 17× less per token, which makes it the better buy when Grok 4.7's lead doesn't matter for your workload.

Which is cheaper, Grok 4.7 or MiMo-V2.5?

MiMo-V2.5 is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Grok 4.7 lists at $2 and $6.

Is Grok 4.7 or MiMo-V2.5 better for coding?

Grok 4.7 scores higher on coding benchmarks: 55.0 versus 43.6 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.5 does, with 1.05M tokens against 500K.

How many benchmarks do Grok 4.7 and MiMo-V2.5 share?

16 benchmarks have published results for both models. Grok 4.7 has 21 scored results on Noometry and MiMo-V2.5 has 23.

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