Model comparison

MiMo-V2.6-Flash vs Qwen2.5 7B Instruct

MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 29.0 on the Noometry Index.

Last verified . 0 shared benchmarks.

MiMo-V2.6-Flash Xiaomi

48.5

Rank #55 Confirmed

Qwen2.5 7B Instruct Alibaba (Qwen)

29.0

Rank #320 Confirmed

Summary

  • The widest gap is in math, where MiMo-V2.6-Flash leads 51.9 to 12.6.
  • MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.17 / $0.70 for Qwen2.5 7B Instruct.
  • MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 131K.

Side by side

MiMo-V2.6-Flash and Qwen2.5 7B Instruct specifications
MiMo-V2.6-FlashQwen2.5 7B Instruct
ProviderXiaomiAlibaba (Qwen)
Noometry Index48.529.0
Released2026-09-212024-09
WeightsOpenOpen
Context window1.05M131K
Max output131K8K
Input $ / M tokens$0.14$0.17
Output $ / M tokens$0.28$0.70
Results tracked1915

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Category by category

Coding MiMo-V2.6-Flash leads

MiMo-V2.6-Flash: 53.4 (#30), Qwen2.5 7B Instruct: 36.5 (#208)

Coding benchmarks
BenchmarkMiMo-V2.6-FlashQwen2.5 7B Instruct
LMArena WebDev1637—
SciCode51.3%—
BigCodeBench Instruct—37.6%
LMArena Coding1504—
BigCodeBench Complete—46.1%

Agentic & Tool Use Not comparable

MiMo-V2.6-Flash: —, Qwen2.5 7B Instruct: 23.8 (#124)

Agentic & Tool Use benchmarks
BenchmarkMiMo-V2.6-FlashQwen2.5 7B Instruct
BALROG—7.8%

Reasoning MiMo-V2.6-Flash leads

MiMo-V2.6-Flash: 36.5 (#66), Qwen2.5 7B Instruct: 14.8 (#322)

Reasoning benchmarks
BenchmarkMiMo-V2.6-FlashQwen2.5 7B Instruct
CritPt12%—
Chess Puzzles—0%
LMArena Hard Prompts1482—
DTBench—47.7%
LMCA—6.4%
Epoch Capabilities Index—118.51

Math MiMo-V2.6-Flash leads

MiMo-V2.6-Flash: 51.9 (#52), Qwen2.5 7B Instruct: 12.6 (#306)

Math benchmarks
BenchmarkMiMo-V2.6-FlashQwen2.5 7B Instruct
OTIS Mock AIME 2024-2025—2.5%
ProofBench63%—
Omni-MATH—29.4%
LMArena Math1468—

Knowledge MiMo-V2.6-Flash leads

MiMo-V2.6-Flash: 42.2 (#99), Qwen2.5 7B Instruct: 17.0 (#286)

Knowledge benchmarks
BenchmarkMiMo-V2.6-FlashQwen2.5 7B Instruct
GPQA Diamond—35.5%
MMLU-Pro—53.9%
GPQA (HELM)—34.1%
LMArena Expert1501—
MMLU—72.9%

Multimodal Not comparable

MiMo-V2.6-Flash: 40.5 (#47), Qwen2.5 7B Instruct: —

Multimodal benchmarks
BenchmarkMiMo-V2.6-FlashQwen2.5 7B Instruct
LMArena Vision1259—

Multilingual Not comparable

MiMo-V2.6-Flash: 54.0 (#51), Qwen2.5 7B Instruct: —

Multilingual benchmarks
BenchmarkMiMo-V2.6-FlashQwen2.5 7B Instruct
LMArena Non-English1434—
LMArena Chinese1511—
LMArena French1475—
LMArena Russian1409—
LMArena Spanish1456—

Instruction Following MiMo-V2.6-Flash leads

MiMo-V2.6-Flash: 76.8 (#35), Qwen2.5 7B Instruct: 63.2 (#231)

Instruction Following benchmarks
BenchmarkMiMo-V2.6-FlashQwen2.5 7B Instruct
IFEval—74.1%
LMArena Instruction Following1463—

Long Context Not comparable

MiMo-V2.6-Flash: 44.8 (#57), Qwen2.5 7B Instruct: —

Long Context benchmarks
BenchmarkMiMo-V2.6-FlashQwen2.5 7B Instruct
LMArena Longer Query1463—

Writing & Preference MiMo-V2.6-Flash leads

MiMo-V2.6-Flash: 63.1 (#67), Qwen2.5 7B Instruct: 48.8 (#195)

Writing & Preference benchmarks
BenchmarkMiMo-V2.6-FlashQwen2.5 7B Instruct
LMArena Text1455—
LMArena Creative Writing1400—
WildBench—73.1%
LMArena Multi-Turn1451—

Frequently asked questions

Is MiMo-V2.6-Flash better than Qwen2.5 7B Instruct?

MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 29.0 on the Noometry Index.

Which is cheaper, MiMo-V2.6-Flash or Qwen2.5 7B 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 7B Instruct lists at $0.17 and $0.70.

Is MiMo-V2.6-Flash or Qwen2.5 7B Instruct better for coding?

MiMo-V2.6-Flash scores higher on coding benchmarks: 53.4 versus 36.5 in the Noometry coding category.

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 7B Instruct share?

0 benchmarks have published results for both models. MiMo-V2.6-Flash has 19 scored results on Noometry and Qwen2.5 7B Instruct has 15.

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