Model comparison

Phi-4 Mini vs Qwen3.5 35B-A3B

Qwen3.5 35B-A3B is the stronger model overall, scoring 42.0 to 30.9 on the Noometry Index. Phi-4 Mini costs 5.2× less per token, which makes it the better buy when Qwen3.5 35B-A3B's lead doesn't matter for your workload.

Last verified . 3 shared benchmarks.

Phi-4 Mini Microsoft

30.9

Rank #283 Reported

Qwen3.5 35B-A3B Alibaba (Qwen)

42.0

Rank #123 Confirmed

Summary

  • They share 3 benchmarks with published results for both. Phi-4 Mini scores higher in 0 categories and Qwen3.5 35B-A3B in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.5 35B-A3B leads 47.8 to 25.3.
  • The biggest single-benchmark swing is SciCode: 10.8% for Phi-4 Mini and 29.3% for Qwen3.5 35B-A3B.
  • Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $0.25 / $2 for Qwen3.5 35B-A3B.
  • Qwen3.5 35B-A3B accepts more context: 262K tokens versus 128K.

Side by side

Phi-4 Mini and Qwen3.5 35B-A3B specifications
Phi-4 MiniQwen3.5 35B-A3B
ProviderMicrosoftAlibaba (Qwen)
Noometry Index30.942.0
Released2024-12-112026-02-01
WeightsOpenOpen
Context window128K262K
Max output4K66K
Input $ / M tokens$0.075$0.25
Output $ / M tokens$0.30$2
Results tracked328

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Category by category

Coding Qwen3.5 35B-A3B leads

Phi-4 Mini: 28.1 (#317), Qwen3.5 35B-A3B: 33.8 (#251)

Coding benchmarks
BenchmarkPhi-4 MiniQwen3.5 35B-A3B
SciCode10.8%29.3%
LMArena WebDev—1254
LMArena Coding—1410

Reasoning Qwen3.5 35B-A3B leads

Phi-4 Mini: 22.4 (#195), Qwen3.5 35B-A3B: 24.6 (#161)

Reasoning benchmarks
BenchmarkPhi-4 MiniQwen3.5 35B-A3B
CritPt0%0.6%
Chess Puzzles—10%
LMArena Hard Prompts—1400
DTBench—80%
LMCA—29.5%
Epoch Capabilities Index—142.52

Math Not comparable

Phi-4 Mini: —, Qwen3.5 35B-A3B: 39.9 (#97)

Math benchmarks
BenchmarkPhi-4 MiniQwen3.5 35B-A3B
MathArena Final-Answer Competitions—56%
OTIS Mock AIME 2024-2025—70%
LMArena Math—1404

Knowledge Qwen3.5 35B-A3B leads

Phi-4 Mini: 25.3 (#262), Qwen3.5 35B-A3B: 47.8 (#79)

Knowledge benchmarks
BenchmarkPhi-4 MiniQwen3.5 35B-A3B
Vectara Hallucination Rate23.5%10.5%
GPQA Diamond—83.5%
LMArena Expert—1408

Multilingual Not comparable

Phi-4 Mini: —, Qwen3.5 35B-A3B: 50.0 (#127)

Multilingual benchmarks
BenchmarkPhi-4 MiniQwen3.5 35B-A3B
LMArena Non-English—1378
LMArena Chinese—1457
LMArena French—1412
LMArena German—1367
LMArena Japanese—1325
LMArena Korean—1356
LMArena Russian—1376
LMArena Spanish—1392

Instruction Following Not comparable

Phi-4 Mini: —, Qwen3.5 35B-A3B: 72.8 (#128)

Instruction Following benchmarks
BenchmarkPhi-4 MiniQwen3.5 35B-A3B
LMArena Instruction Following—1379

Long Context Not comparable

Phi-4 Mini: —, Qwen3.5 35B-A3B: 42.4 (#127)

Long Context benchmarks
BenchmarkPhi-4 MiniQwen3.5 35B-A3B
LMArena Longer Query—1389

Writing & Preference Not comparable

Phi-4 Mini: —, Qwen3.5 35B-A3B: 57.9 (#124)

Writing & Preference benchmarks
BenchmarkPhi-4 MiniQwen3.5 35B-A3B
LMArena Text—1395
LMArena Creative Writing—1346
LMArena Multi-Turn—1390

Frequently asked questions

Is Phi-4 Mini better than Qwen3.5 35B-A3B?

Qwen3.5 35B-A3B is the stronger model overall, scoring 42.0 to 30.9 on the Noometry Index. Phi-4 Mini costs 5.2× less per token, which makes it the better buy when Qwen3.5 35B-A3B's lead doesn't matter for your workload.

Which is cheaper, Phi-4 Mini or Qwen3.5 35B-A3B?

Phi-4 Mini is cheaper. It lists at $0.075 per million input tokens and $0.30 per million output tokens; Qwen3.5 35B-A3B lists at $0.25 and $2.

Is Phi-4 Mini or Qwen3.5 35B-A3B better for coding?

Qwen3.5 35B-A3B scores higher on coding benchmarks: 33.8 versus 28.1 in the Noometry coding category.

Which has the bigger context window?

Qwen3.5 35B-A3B does, with 262K tokens against 128K.

How many benchmarks do Phi-4 Mini and Qwen3.5 35B-A3B share?

3 benchmarks have published results for both models. Phi-4 Mini has 3 scored results on Noometry and Qwen3.5 35B-A3B has 28.

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