Model comparison

MiMo-V2.6-Flash vs Qwen2.5-VL 72B Instruct

MiMo-V2.6-Flash is the stronger model overall, scoring 44.4 to 29.4 on the Noometry Index.

Last verified . 1 shared benchmarks.

MiMo-V2.6-Flash Xiaomi

44.4

Rank #74 Confirmed

Summary

  • They share 1 benchmark with published results for both. MiMo-V2.6-Flash scores higher in 2 categories and Qwen2.5-VL 72B Instruct in 0 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where MiMo-V2.6-Flash leads 29.6 to 20.0.
  • MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $2.80 / $8.40 for Qwen2.5-VL 72B Instruct.
  • MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 131K.

Side by side

MiMo-V2.6-Flash and Qwen2.5-VL 72B Instruct specifications
MiMo-V2.6-FlashQwen2.5-VL 72B Instruct
ProviderXiaomiAlibaba (Qwen)
Noometry Index44.429.4
Released2026-09-222024-09
WeightsOpenOpen
Context window1.05M131K
Max output131K8K
Input $ / M tokens$0.14$2.80
Output $ / M tokens$0.28$8.40
Results tracked136

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Category by category

Coding Not comparable

MiMo-V2.6-Flash: 44.3 (#68), Qwen2.5-VL 72B Instruct: —

Coding benchmarks
BenchmarkMiMo-V2.6-FlashQwen2.5-VL 72B Instruct
LMArena Coding1516—

Agentic & Tool Use Not comparable

MiMo-V2.6-Flash: —, Qwen2.5-VL 72B Instruct: 18.4 (#136)

Agentic & Tool Use benchmarks
BenchmarkMiMo-V2.6-FlashQwen2.5-VL 72B Instruct
OSWorld—5%

Reasoning MiMo-V2.6-Flash leads

MiMo-V2.6-Flash: 29.6 (#82), Qwen2.5-VL 72B Instruct: 20.0 (#228)

Reasoning benchmarks
BenchmarkMiMo-V2.6-FlashQwen2.5-VL 72B Instruct
Kagi LLM Benchmark—36%
LMArena Hard Prompts1481—

Math Not comparable

MiMo-V2.6-Flash: 37.4 (#97), Qwen2.5-VL 72B Instruct: —

Math benchmarks
BenchmarkMiMo-V2.6-FlashQwen2.5-VL 72B Instruct
LMArena Math1477—

Knowledge Not comparable

MiMo-V2.6-Flash: 42.0 (#91), Qwen2.5-VL 72B Instruct: —

Knowledge benchmarks
BenchmarkMiMo-V2.6-FlashQwen2.5-VL 72B Instruct
LMArena Expert1516—

Multimodal MiMo-V2.6-Flash leads

MiMo-V2.6-Flash: 40.2 (#39), Qwen2.5-VL 72B Instruct: 32.9 (#92)

Multimodal benchmarks
BenchmarkMiMo-V2.6-FlashQwen2.5-VL 72B Instruct
LMArena Vision12661107
Video-MME—73.5%
GeoBench—62%
SpatialViz-Bench—33.3%

Multilingual Not comparable

MiMo-V2.6-Flash: 54.6 (#41), Qwen2.5-VL 72B Instruct: —

Multilingual benchmarks
BenchmarkMiMo-V2.6-FlashQwen2.5-VL 72B Instruct
LMArena Non-English1439—
LMArena Chinese1501—
LMArena Russian1424—

Instruction Following Not comparable

MiMo-V2.6-Flash: 77.0 (#33), Qwen2.5-VL 72B Instruct: —

Instruction Following benchmarks
BenchmarkMiMo-V2.6-FlashQwen2.5-VL 72B Instruct
LMArena Instruction Following1463—

Long Context Not comparable

MiMo-V2.6-Flash: 44.8 (#52), Qwen2.5-VL 72B Instruct: —

Long Context benchmarks
BenchmarkMiMo-V2.6-FlashQwen2.5-VL 72B Instruct
LMArena Longer Query1465—

Writing & Preference Not comparable

MiMo-V2.6-Flash: 63.9 (#61), Qwen2.5-VL 72B Instruct: —

Writing & Preference benchmarks
BenchmarkMiMo-V2.6-FlashQwen2.5-VL 72B Instruct
LMArena Text1459—
LMArena Creative Writing1408—
LMArena Multi-Turn1460—

Frequently asked questions

Is MiMo-V2.6-Flash better than Qwen2.5-VL 72B Instruct?

MiMo-V2.6-Flash is the stronger model overall, scoring 44.4 to 29.4 on the Noometry Index.

Which is cheaper, MiMo-V2.6-Flash or Qwen2.5-VL 72B Instruct?

MiMo-V2.6-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Qwen2.5-VL 72B Instruct lists at $2.80 and $8.40.

Which has the bigger context window?

MiMo-V2.6-Flash does, with 1.05M tokens against 131K.

How many benchmarks do MiMo-V2.6-Flash and Qwen2.5-VL 72B Instruct share?

1 benchmark has published results for both models. MiMo-V2.6-Flash has 13 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.

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