Model comparison

MiMo-V2-Omni vs Qwen3.5-9B

MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 33.8 on the Noometry Index. Qwen3.5-9B costs 1.6× less per token, which makes it the better buy when MiMo-V2-Omni's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

MiMo-V2-Omni Xiaomi

43.6

Rank #88 Confirmed

Qwen3.5-9B Alibaba (Qwen)

33.8

Rank #236 Confirmed

Summary

  • The widest gap is in coding, where MiMo-V2-Omni leads 43.3 to 35.9.
  • Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2-Omni.
  • Qwen3.5-9B has downloadable open weights; the other is API-only.

Side by side

MiMo-V2-Omni and Qwen3.5-9B specifications
MiMo-V2-OmniQwen3.5-9B
ProviderXiaomiAlibaba (Qwen)
Noometry Index43.633.8
Released2026-03-182026-02-23
WeightsProprietaryOpen
Context window262K262K
Max output131K66K
Input $ / M tokens$0.14$0.10
Output $ / M tokens$0.28$0.15
Results tracked1810

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Category by category

Coding MiMo-V2-Omni leads

MiMo-V2-Omni: 43.3 (#89), Qwen3.5-9B: 35.9 (#217)

Coding benchmarks
BenchmarkMiMo-V2-OmniQwen3.5-9B
SciCode—27.5%
LMArena Coding1466—

Agentic & Tool Use Not comparable

MiMo-V2-Omni: —, Qwen3.5-9B: 14.5 (#151)

Agentic & Tool Use benchmarks
BenchmarkMiMo-V2-OmniQwen3.5-9B
Terminal-Bench—9.2%

Reasoning MiMo-V2-Omni leads

MiMo-V2-Omni: 29.7 (#88), Qwen3.5-9B: 23.1 (#182)

Reasoning benchmarks
BenchmarkMiMo-V2-OmniQwen3.5-9B
CritPt—0.3%
Chess Puzzles—12%
LMArena Hard Prompts1445—
DTBench—71.2%
LMCA—24.5%
Epoch Capabilities Index—139.46

Math MiMo-V2-Omni leads

MiMo-V2-Omni: 39.1 (#115), Qwen3.5-9B: 34.8 (#192)

Math benchmarks
BenchmarkMiMo-V2-OmniQwen3.5-9B
MathArena Final-Answer Competitions—48.5%
OTIS Mock AIME 2024-2025—61.7%
LMArena Math1430—

Knowledge Qwen3.5-9B leads

MiMo-V2-Omni: 40.5 (#118), Qwen3.5-9B: 46.0 (#84)

Knowledge benchmarks
BenchmarkMiMo-V2-OmniQwen3.5-9B
GPQA Diamond—79%
LMArena Expert1449—

Multimodal Not comparable

MiMo-V2-Omni: 38.6 (#63), Qwen3.5-9B: —

Multimodal benchmarks
BenchmarkMiMo-V2-OmniQwen3.5-9B
LMArena Vision1228—

Multilingual Not comparable

MiMo-V2-Omni: 51.8 (#102), Qwen3.5-9B: —

Multilingual benchmarks
BenchmarkMiMo-V2-OmniQwen3.5-9B
LMArena Non-English1404—
LMArena Chinese1465—
LMArena French1447—
LMArena German1399—
LMArena Japanese1317—
LMArena Korean1355—
LMArena Russian1412—
LMArena Spanish1434—

Instruction Following Not comparable

MiMo-V2-Omni: 75.2 (#66), Qwen3.5-9B: —

Instruction Following benchmarks
BenchmarkMiMo-V2-OmniQwen3.5-9B
LMArena Instruction Following1428—

Long Context Not comparable

MiMo-V2-Omni: 44.1 (#76), Qwen3.5-9B: —

Long Context benchmarks
BenchmarkMiMo-V2-OmniQwen3.5-9B
LMArena Longer Query1442—

Writing & Preference Not comparable

MiMo-V2-Omni: 61.4 (#87), Qwen3.5-9B: —

Writing & Preference benchmarks
BenchmarkMiMo-V2-OmniQwen3.5-9B
LMArena Text1423—
LMArena Creative Writing1392—
LMArena Multi-Turn1445—

Frequently asked questions

Is MiMo-V2-Omni better than Qwen3.5-9B?

MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 33.8 on the Noometry Index. Qwen3.5-9B costs 1.6× less per token, which makes it the better buy when MiMo-V2-Omni's lead doesn't matter for your workload.

Which is cheaper, MiMo-V2-Omni or Qwen3.5-9B?

Qwen3.5-9B is cheaper. It lists at $0.10 per million input tokens and $0.15 per million output tokens; MiMo-V2-Omni lists at $0.14 and $0.28.

Is MiMo-V2-Omni or Qwen3.5-9B better for coding?

MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 35.9 in the Noometry coding category.

Which has the bigger context window?

Both accept 262K tokens.

How many benchmarks do MiMo-V2-Omni and Qwen3.5-9B share?

0 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Qwen3.5-9B has 10.

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