Model comparison

Phi-4 Mini vs Qwen3.7 Max

Qwen3.7 Max is the stronger model overall, scoring 51.5 to 30.9 on the Noometry Index. Phi-4 Mini costs 29× less per token, which makes it the better buy when Qwen3.7 Max's lead doesn't matter for your workload.

Last verified . 2 shared benchmarks.

Phi-4 Mini Microsoft

30.9

Rank #283 Reported

Qwen3.7 Max Alibaba (Qwen)

51.5

Rank #42 Confirmed

Summary

  • They share 2 benchmarks with published results for both. Phi-4 Mini scores higher in 0 categories and Qwen3.7 Max in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.7 Max leads 61.6 to 25.3.
  • The biggest single-benchmark swing is SciCode: 10.8% for Phi-4 Mini and 48.8% for Qwen3.7 Max.
  • Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $2.50 / $7.50 for Qwen3.7 Max.
  • Qwen3.7 Max accepts more context: 1M tokens versus 128K.
  • Phi-4 Mini has downloadable open weights; the other is API-only.

Side by side

Phi-4 Mini and Qwen3.7 Max specifications
Phi-4 MiniQwen3.7 Max
ProviderMicrosoftAlibaba (Qwen)
Noometry Index30.951.5
Released2024-12-112026-05-19
WeightsOpenProprietary
Context window128K1M
Max output4K131K
Input $ / M tokens$0.075$2.50
Output $ / M tokens$0.30$7.50
Results tracked333

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Category by category

Coding Qwen3.7 Max leads

Phi-4 Mini: 28.1 (#317), Qwen3.7 Max: 50.4 (#45)

Coding benchmarks
BenchmarkPhi-4 MiniQwen3.7 Max
SciCode10.8%48.8%
SWE-bench Verified—77.3%
LMArena WebDev—1515
LMArena Coding—1498
ALE-Bench—1,189

Agentic & Tool Use Not comparable

Phi-4 Mini: —, Qwen3.7 Max: 22.1 (#135)

Agentic & Tool Use benchmarks
BenchmarkPhi-4 MiniQwen3.7 Max
GBAEval—0.4%

Reasoning Qwen3.7 Max leads

Phi-4 Mini: 22.4 (#195), Qwen3.7 Max: 49.2 (#38)

Reasoning benchmarks
BenchmarkPhi-4 MiniQwen3.7 Max
CritPt0%13.4%
SimpleBench—70.4%
NYT Connections (extended)—85.1%
Chess Puzzles—19%
EBR-Bench—9.5%
LMArena Hard Prompts—1483
Mystery Game Puzzles—32%
DTBench—92.3%
LMCA—44%
Epoch Capabilities Index—153.68

Math Not comparable

Phi-4 Mini: —, Qwen3.7 Max: 62.4 (#32)

Math benchmarks
BenchmarkPhi-4 MiniQwen3.7 Max
FrontierMath (Tiers 1-3)—64.6%
FrontierMath Tier 4—34.1%
OTIS Mock AIME 2024-2025—95.6%
ProofBench—26%
LMArena Math—1490

Knowledge Qwen3.7 Max leads

Phi-4 Mini: 25.3 (#262), Qwen3.7 Max: 61.6 (#28)

Knowledge benchmarks
BenchmarkPhi-4 MiniQwen3.7 Max
GPQA Diamond—90.9%
SimpleQA Verified—55.8%
Vectara Hallucination Rate23.5%—
LMArena Expert—1488

Multilingual Not comparable

Phi-4 Mini: —, Qwen3.7 Max: 56.9 (#15)

Multilingual benchmarks
BenchmarkPhi-4 MiniQwen3.7 Max
LMArena Non-English—1474
LMArena Chinese—1530
LMArena Russian—1484

Instruction Following Not comparable

Phi-4 Mini: —, Qwen3.7 Max: 76.7 (#38)

Instruction Following benchmarks
BenchmarkPhi-4 MiniQwen3.7 Max
LMArena Instruction Following—1460

Long Context Not comparable

Phi-4 Mini: —, Qwen3.7 Max: 45.4 (#40)

Long Context benchmarks
BenchmarkPhi-4 MiniQwen3.7 Max
LMArena Longer Query—1482

Writing & Preference Not comparable

Phi-4 Mini: —, Qwen3.7 Max: 65.0 (#54)

Writing & Preference benchmarks
BenchmarkPhi-4 MiniQwen3.7 Max
LMArena Text—1476
LMArena Creative Writing—1449
EQ-Bench 4—1110
LMArena Multi-Turn—1481

Frequently asked questions

Is Phi-4 Mini better than Qwen3.7 Max?

Qwen3.7 Max is the stronger model overall, scoring 51.5 to 30.9 on the Noometry Index. Phi-4 Mini costs 29× less per token, which makes it the better buy when Qwen3.7 Max's lead doesn't matter for your workload.

Which is cheaper, Phi-4 Mini or Qwen3.7 Max?

Phi-4 Mini is cheaper. It lists at $0.075 per million input tokens and $0.30 per million output tokens; Qwen3.7 Max lists at $2.50 and $7.50.

Is Phi-4 Mini or Qwen3.7 Max better for coding?

Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 28.1 in the Noometry coding category.

Which has the bigger context window?

Qwen3.7 Max does, with 1M tokens against 128K.

How many benchmarks do Phi-4 Mini and Qwen3.7 Max share?

2 benchmarks have published results for both models. Phi-4 Mini has 3 scored results on Noometry and Qwen3.7 Max has 33.

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