Model comparison

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

MiMo-V2.5 is the stronger model overall, scoring 43.4 to 33.8 on the Noometry Index. Qwen3.5-9B costs 1.6× less per token, which makes it the better buy when MiMo-V2.5's lead doesn't matter for your workload.

Last verified . 2 shared benchmarks.

MiMo-V2.5 Xiaomi

43.4

Rank #93 Confirmed

Qwen3.5-9B Alibaba (Qwen)

33.8

Rank #236 Confirmed

Summary

  • They share 2 benchmarks with published results for both. MiMo-V2.5 scores higher in 3 categories and Qwen3.5-9B in 1 category; 4 gaps are clear of the uncertainty.
  • The widest gap is in coding, where MiMo-V2.5 leads 43.9 to 35.9.
  • The biggest single-benchmark swing is SciCode: 43.1% for MiMo-V2.5 and 27.5% for Qwen3.5-9B.
  • Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2.5.
  • MiMo-V2.5 accepts more context: 1.05M tokens versus 262K.

Side by side

MiMo-V2.5 and Qwen3.5-9B specifications
MiMo-V2.5Qwen3.5-9B
ProviderXiaomiAlibaba (Qwen)
Noometry Index43.433.8
Released2026-04-222026-02-23
WeightsOpenOpen
Context window1.05M262K
Max output131K66K
Input $ / M tokens$0.14$0.10
Output $ / M tokens$0.28$0.15
Results tracked2310

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Category by category

Coding MiMo-V2.5 leads

MiMo-V2.5: 43.9 (#81), Qwen3.5-9B: 35.9 (#217)

Coding benchmarks
BenchmarkMiMo-V2.5Qwen3.5-9B
SciCode43.1%27.5%
LMArena WebDev1438—
LMArena Coding1469—
ALE-Bench513.95—

Agentic & Tool Use Not comparable

MiMo-V2.5: —, Qwen3.5-9B: 14.5 (#151)

Agentic & Tool Use benchmarks
BenchmarkMiMo-V2.5Qwen3.5-9B
Terminal-Bench—9.2%

Reasoning MiMo-V2.5 leads

MiMo-V2.5: 28.6 (#101), Qwen3.5-9B: 23.1 (#182)

Reasoning benchmarks
BenchmarkMiMo-V2.5Qwen3.5-9B
CritPt3.7%0.3%
Chess Puzzles—12%
LMArena Hard Prompts1450—
DTBench—71.2%
LMCA—24.5%
Epoch Capabilities Index—139.46

Math MiMo-V2.5 leads

MiMo-V2.5: 36.8 (#163), Qwen3.5-9B: 34.8 (#192)

Math benchmarks
BenchmarkMiMo-V2.5Qwen3.5-9B
MathArena Final-Answer Competitions—48.5%
OTIS Mock AIME 2024-2025—61.7%
ProofBench16%—
LMArena Math1436—

Knowledge Qwen3.5-9B leads

MiMo-V2.5: 40.8 (#115), Qwen3.5-9B: 46.0 (#84)

Knowledge benchmarks
BenchmarkMiMo-V2.5Qwen3.5-9B
GPQA Diamond—79%
LMArena Expert1460—

Multimodal Not comparable

MiMo-V2.5: 39.8 (#54), Qwen3.5-9B: —

Multimodal benchmarks
BenchmarkMiMo-V2.5Qwen3.5-9B
LMArena Vision1247—

Multilingual Not comparable

MiMo-V2.5: 51.9 (#99), Qwen3.5-9B: —

Multilingual benchmarks
BenchmarkMiMo-V2.5Qwen3.5-9B
LMArena Non-English1404—
LMArena Chinese1468—
LMArena French1447—
LMArena German1421—
LMArena Japanese1306—
LMArena Korean1363—
LMArena Russian1395—
LMArena Spanish1416—

Instruction Following Not comparable

MiMo-V2.5: 75.5 (#60), Qwen3.5-9B: —

Instruction Following benchmarks
BenchmarkMiMo-V2.5Qwen3.5-9B
LMArena Instruction Following1434—

Long Context Not comparable

MiMo-V2.5: 44.2 (#73), Qwen3.5-9B: —

Long Context benchmarks
BenchmarkMiMo-V2.5Qwen3.5-9B
LMArena Longer Query1445—

Writing & Preference Not comparable

MiMo-V2.5: 61.6 (#86), Qwen3.5-9B: —

Writing & Preference benchmarks
BenchmarkMiMo-V2.5Qwen3.5-9B
LMArena Text1428—
LMArena Creative Writing1393—
LMArena Multi-Turn1445—

Frequently asked questions

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

MiMo-V2.5 is the stronger model overall, scoring 43.4 to 33.8 on the Noometry Index. Qwen3.5-9B costs 1.6× less per token, which makes it the better buy when MiMo-V2.5's lead doesn't matter for your workload.

Which is cheaper, MiMo-V2.5 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-V2.5 lists at $0.14 and $0.28.

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

MiMo-V2.5 scores higher on coding benchmarks: 43.9 versus 35.9 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.5 does, with 1.05M tokens against 262K.

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

2 benchmarks have published results for both models. MiMo-V2.5 has 23 scored results on Noometry and Qwen3.5-9B has 10.

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