Noometry

Model comparison

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

Qwen3 Max is the stronger model overall, scoring 43.7 to 37.6 on the Noometry Index.

Last verified . 17 shared benchmarks.

DeepSeek-V2.5 (Sep 2024) DeepSeek

37.6

Rank #200 Confirmed

Qwen3 Max Alibaba (Qwen)

43.7

Rank #87 Confirmed

Summary

  • They share 17 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 1 category and Qwen3 Max in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3 Max leads 48.1 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 Max
ProviderDeepSeekAlibaba (Qwen)
Noometry Index37.643.7
Released2024-09-062025-09-23
WeightsOpenProprietary
Context window—262K
Max output—66K
Input $ / M tokens—$1.20
Output $ / M tokens—$6
Results tracked2233

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Category by category

Coding Qwen3 Max leads

DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Qwen3 Max: 43.0 (#93)

BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3 Max
LMArena Coding13091456
Aider Polyglot17.8%—
BigCodeBench Instruct48.6%—
BigCodeBench Complete53.2%—
ALE-Bench—370.45
HumanEval+83.5%—
MBPP+74.1%—

Agentic & Tool Use Not comparable

DeepSeek-V2.5 (Sep 2024): —, Qwen3 Max: —

BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3 Max
Vending-Bench 2—71.56

Reasoning DeepSeek-V2.5 (Sep 2024) leads

DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Qwen3 Max: 22.6 (#190)

BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3 Max
LMArena Hard Prompts12891448
Kagi LLM Benchmark—72.5%
NYT Connections (extended)—30.1%
Chess Puzzles—4%
Mystery Game Puzzles—5%
DTBench—82.1%
LMCA—28.3%
Epoch Capabilities Index—142.38

Math Qwen3 Max leads

DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Qwen3 Max: 38.7 (#131)

BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3 Max
LMArena Math12881446
FrontierMath (Tiers 1-3)—18.9%
OTIS Mock AIME 2024-2025—73.3%
MATH Level 5—97.1%

Knowledge Qwen3 Max leads

DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Qwen3 Max: 48.1 (#78)

BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3 Max
LMArena Expert12661455
GPQA Diamond—72.6%
SimpleQA Verified—48.7%

Multilingual Qwen3 Max leads

DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Qwen3 Max: 53.7 (#62)

BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3 Max
LMArena Non-English12731429
LMArena Chinese13181478
LMArena French12891449
LMArena German12581463
LMArena Japanese12281397
LMArena Korean12091399
LMArena Russian12891428
LMArena Spanish12481462

Instruction Following Qwen3 Max leads

DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Qwen3 Max: 74.8 (#87)

BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3 Max
LMArena Instruction Following12801419

Long Context Qwen3 Max leads

DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Qwen3 Max: 41.6 (#134)

BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3 Max
LMArena Longer Query13011438
Fiction.LiveBench—66.7%
CL-bench—14.5%

Writing & Preference Qwen3 Max leads

DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Qwen3 Max: 62.4 (#76)

BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3 Max
LMArena Text12941439
LMArena Creative Writing12851402
LMArena Multi-Turn12971446

Frequently asked questions

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

Qwen3 Max is the stronger model overall, scoring 43.7 to 37.6 on the Noometry Index.

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

Qwen3 Max scores higher on coding benchmarks: 43.0 versus 31.7 in the Noometry coding category.

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

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

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