Model comparison

MiMo-V2-Pro vs Qwen3.6 27B

MiMo-V2-Pro and Qwen3.6 27B score almost the same on the Noometry Index (43.0 vs 42.2), so choose on price, context window or the category you care about most.

Last verified . 0 shared benchmarks.

MiMo-V2-Pro Xiaomi

43.0

Rank #103 Confirmed

Qwen3.6 27B Alibaba (Qwen)

42.2

Rank #117 Confirmed

Summary

  • The widest gap is in writing & preference, where MiMo-V2-Pro leads 62.8 to 50.3.
  • MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.60 / $3.60 for Qwen3.6 27B.
  • MiMo-V2-Pro accepts more context: 1.05M tokens versus 262K.
  • Qwen3.6 27B has downloadable open weights; the other is API-only.

Side by side

MiMo-V2-Pro and Qwen3.6 27B specifications
MiMo-V2-ProQwen3.6 27B
ProviderXiaomiAlibaba (Qwen)
Noometry Index43.042.2
Released2026-03-182026-04-22
WeightsProprietaryOpen
Context window1.05M262K
Max output131K66K
Input $ / M tokens$0.43$0.60
Output $ / M tokens$0.87$3.60
Results tracked2311

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Category by category

Coding MiMo-V2-Pro leads

MiMo-V2-Pro: 43.8 (#83), Qwen3.6 27B: 39.1 (#163)

Coding benchmarks
BenchmarkMiMo-V2-ProQwen3.6 27B
LMArena WebDev1433—
SciCode—37.3%
LMArena Coding1476—
ALE-Bench785.17—

Reasoning Qwen3.6 27B leads

MiMo-V2-Pro: 22.1 (#206), Qwen3.6 27B: 25.0 (#153)

Reasoning benchmarks
BenchmarkMiMo-V2-ProQwen3.6 27B
NYT Connections (extended)25.8%—
CritPt—0.9%
Chess Puzzles—22%
Thematic Generalization45.9%—
LMArena Hard Prompts1457—
Mystery Game Puzzles—7%
DTBench—78.1%
LMCA—34.5%
Epoch Capabilities Index—146.5

Math Qwen3.6 27B leads

MiMo-V2-Pro: 39.5 (#102), Qwen3.6 27B: 48.5 (#62)

Math benchmarks
BenchmarkMiMo-V2-ProQwen3.6 27B
FrontierMath (Tiers 1-3)—35.1%
OTIS Mock AIME 2024-2025—91.1%
LMArena Math1447—

Knowledge Qwen3.6 27B leads

MiMo-V2-Pro: 41.4 (#111), Qwen3.6 27B: 52.4 (#63)

Knowledge benchmarks
BenchmarkMiMo-V2-ProQwen3.6 27B
GPQA Diamond—85.9%
LMArena Expert1478—

Multilingual Not comparable

MiMo-V2-Pro: 52.7 (#81), Qwen3.6 27B: —

Multilingual benchmarks
BenchmarkMiMo-V2-ProQwen3.6 27B
LMArena Non-English1416—
LMArena Chinese1456—
LMArena French1469—
LMArena German1417—
LMArena Japanese1366—
LMArena Korean1400—
LMArena Russian1427—
LMArena Spanish1457—

Instruction Following Not comparable

MiMo-V2-Pro: 76.0 (#49), Qwen3.6 27B: —

Instruction Following benchmarks
BenchmarkMiMo-V2-ProQwen3.6 27B
LMArena Instruction Following1445—

Long Context Not comparable

MiMo-V2-Pro: 41.5 (#138), Qwen3.6 27B: —

Long Context benchmarks
BenchmarkMiMo-V2-ProQwen3.6 27B
CL-bench15.7%—
CL-bench Life6.9%—
LMArena Longer Query1455—

Writing & Preference MiMo-V2-Pro leads

MiMo-V2-Pro: 62.8 (#70), Qwen3.6 27B: 50.3 (#181)

Writing & Preference benchmarks
BenchmarkMiMo-V2-ProQwen3.6 27B
LMArena Text1436—
LMArena Creative Writing1415—
EQ-Bench 4—1026
LMArena Multi-Turn1456—

Frequently asked questions

Is MiMo-V2-Pro better than Qwen3.6 27B?

MiMo-V2-Pro and Qwen3.6 27B score almost the same on the Noometry Index (43.0 vs 42.2), so choose on price, context window or the category you care about most.

Which is cheaper, MiMo-V2-Pro or Qwen3.6 27B?

MiMo-V2-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Qwen3.6 27B lists at $0.60 and $3.60.

Is MiMo-V2-Pro or Qwen3.6 27B better for coding?

MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 39.1 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2-Pro does, with 1.05M tokens against 262K.

How many benchmarks do MiMo-V2-Pro and Qwen3.6 27B share?

0 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and Qwen3.6 27B has 11.

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