Noometry

Model comparison

DeepSeek-V2.5 (Sep 2024) vs Qwen3.7 Max

Qwen3.7 Max is the stronger model overall, scoring 51.5 to 37.6 on the Noometry Index.

Last verified . 12 shared benchmarks.

DeepSeek-V2.5 (Sep 2024) DeepSeek

37.6

Rank #200 Confirmed

Qwen3.7 Max Alibaba (Qwen)

51.5

Rank #42 Confirmed

Summary

  • They share 12 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 0 categories and Qwen3.7 Max in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.7 Max leads 61.6 to 34.8.
  • DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V2.5 (Sep 2024)Qwen3.7 Max
ProviderDeepSeekAlibaba (Qwen)
Noometry Index37.651.5
Released2024-09-062026-05-19
WeightsOpenProprietary
Context window—1M
Max output—131K
Input $ / M tokens—$2.50
Output $ / M tokens—$7.50
Results tracked2233

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Category by category

Coding Qwen3.7 Max leads

DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Qwen3.7 Max: 50.4 (#45)

BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3.7 Max
LMArena Coding13091498
SWE-bench Verified—77.3%
Aider Polyglot17.8%—
LMArena WebDev—1515
SciCode—48.8%
BigCodeBench Instruct48.6%—
BigCodeBench Complete53.2%—
ALE-Bench—1,189
HumanEval+83.5%—
MBPP+74.1%—

Agentic & Tool Use Not comparable

DeepSeek-V2.5 (Sep 2024): —, Qwen3.7 Max: 22.1 (#135)

BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3.7 Max
GBAEval—0.4%

Reasoning Qwen3.7 Max leads

DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Qwen3.7 Max: 49.2 (#38)

BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3.7 Max
LMArena Hard Prompts12891483
SimpleBench—70.4%
NYT Connections (extended)—85.1%
CritPt—13.4%
Chess Puzzles—19%
EBR-Bench—9.5%
Mystery Game Puzzles—32%
DTBench—92.3%
LMCA—44%
Epoch Capabilities Index—153.68

Math Qwen3.7 Max leads

DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Qwen3.7 Max: 62.4 (#32)

BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3.7 Max
LMArena Math12881490
FrontierMath (Tiers 1-3)—64.6%
FrontierMath Tier 4—34.1%
OTIS Mock AIME 2024-2025—95.6%
ProofBench—26%

Knowledge Qwen3.7 Max leads

DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Qwen3.7 Max: 61.6 (#28)

BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3.7 Max
LMArena Expert12661488
GPQA Diamond—90.9%
SimpleQA Verified—55.8%

Multilingual Qwen3.7 Max leads

DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Qwen3.7 Max: 56.9 (#15)

BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3.7 Max
LMArena Non-English12731474
LMArena Chinese13181530
LMArena Russian12891484
LMArena French1289—
LMArena German1258—
LMArena Japanese1228—
LMArena Korean1209—
LMArena Spanish1248—

Instruction Following Qwen3.7 Max leads

DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Qwen3.7 Max: 76.7 (#38)

BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3.7 Max
LMArena Instruction Following12801460

Long Context Qwen3.7 Max leads

DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Qwen3.7 Max: 45.4 (#40)

BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3.7 Max
LMArena Longer Query13011482

Writing & Preference Qwen3.7 Max leads

DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Qwen3.7 Max: 65.0 (#54)

BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3.7 Max
LMArena Text12941476
LMArena Creative Writing12851449
LMArena Multi-Turn12971481
EQ-Bench 4—1110

Frequently asked questions

Is DeepSeek-V2.5 (Sep 2024) better than Qwen3.7 Max?

Qwen3.7 Max is the stronger model overall, scoring 51.5 to 37.6 on the Noometry Index.

Is DeepSeek-V2.5 (Sep 2024) or Qwen3.7 Max better for coding?

Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 31.7 in the Noometry coding category.

How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Qwen3.7 Max share?

12 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Qwen3.7 Max has 33.

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