Noometry

Model comparison

DeepSeek LLM 67B vs Qwen3.7 Plus

Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 24.8 on the Noometry Index.

Last verified . 14 shared benchmarks.

DeepSeek LLM 67B DeepSeek

24.8

Rank #341 Confirmed

Qwen3.7 Plus Alibaba (Qwen)

45.0

Rank #66 Confirmed

Summary

  • They share 14 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Qwen3.7 Plus in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.7 Plus leads 54.9 to 7.1.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.8% for DeepSeek LLM 67B and 93.3% for Qwen3.7 Plus.
  • DeepSeek LLM 67B has downloadable open weights; the other is API-only.

Side by side

DeepSeek LLM 67BQwen3.7 Plus
ProviderDeepSeekAlibaba (Qwen)
Noometry Index24.845.0
Released2023-11-292026-06-02
WeightsOpenProprietary
Context window—1M
Max output—131K
Input $ / M tokens—$0.40
Output $ / M tokens—$1.60
Results tracked1532

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Category by category

Coding Qwen3.7 Plus leads

DeepSeek LLM 67B: 31.3 (#273), Qwen3.7 Plus: 36.1 (#200)

BenchmarkDeepSeek LLM 67BQwen3.7 Plus
LMArena Coding10961473
FrontierCode—10.2%
SciCode—45.5%

Agentic & Tool Use Not comparable

DeepSeek LLM 67B: —, Qwen3.7 Plus: 21.2 (#130)

BenchmarkDeepSeek LLM 67BQwen3.7 Plus
OSWorld 2.0—2.8%

Reasoning Qwen3.7 Plus leads

DeepSeek LLM 67B: 15.9 (#300), Qwen3.7 Plus: 38.4 (#54)

BenchmarkDeepSeek LLM 67BQwen3.7 Plus
Chess Puzzles0%24%
LMArena Hard Prompts10701460
Epoch Capabilities Index110.54147.39
NYT Connections (extended)—74.8%
CritPt—9.1%
Mystery Game Puzzles—17%
DTBench—84%
LMCA—37.6%

Math Qwen3.7 Plus leads

DeepSeek LLM 67B: 8.1 (#318), Qwen3.7 Plus: 49.3 (#47)

BenchmarkDeepSeek LLM 67BQwen3.7 Plus
OTIS Mock AIME 2024-20250.8%93.3%
LMArena Math11081467
FrontierMath (Tiers 1-3)—34.4%
MATH Level 56.4%—

Knowledge Qwen3.7 Plus leads

DeepSeek LLM 67B: 7.1 (#308), Qwen3.7 Plus: 54.9 (#46)

BenchmarkDeepSeek LLM 67BQwen3.7 Plus
GPQA Diamond24.6%87.9%
LMArena Expert—1467

Multimodal Not comparable

DeepSeek LLM 67B: —, Qwen3.7 Plus: 41.2 (#30)

BenchmarkDeepSeek LLM 67BQwen3.7 Plus
LMArena Vision—1281
LMArena Document—1444

Multilingual Qwen3.7 Plus leads

DeepSeek LLM 67B: 29.5 (#262), Qwen3.7 Plus: 55.0 (#36)

BenchmarkDeepSeek LLM 67BQwen3.7 Plus
LMArena Non-English10731445
LMArena Chinese11321510
LMArena French—1471
LMArena German—1471
LMArena Japanese—1411
LMArena Korean—1416
LMArena Russian—1457
LMArena Spanish—1453

Instruction Following Qwen3.7 Plus leads

DeepSeek LLM 67B: 55.7 (#272), Qwen3.7 Plus: 75.9 (#49)

BenchmarkDeepSeek LLM 67BQwen3.7 Plus
LMArena Instruction Following10791439

Long Context Qwen3.7 Plus leads

DeepSeek LLM 67B: 33.1 (#260), Qwen3.7 Plus: 44.5 (#61)

BenchmarkDeepSeek LLM 67BQwen3.7 Plus
LMArena Longer Query10921454

Writing & Preference Qwen3.7 Plus leads

DeepSeek LLM 67B: 31.8 (#277), Qwen3.7 Plus: 64.5 (#54)

BenchmarkDeepSeek LLM 67BQwen3.7 Plus
LMArena Text11051454
LMArena Creative Writing10671439
LMArena Multi-Turn10821459

Frequently asked questions

Is DeepSeek LLM 67B better than Qwen3.7 Plus?

Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 24.8 on the Noometry Index.

Is DeepSeek LLM 67B or Qwen3.7 Plus better for coding?

Qwen3.7 Plus scores higher on coding benchmarks: 36.1 versus 31.3 in the Noometry coding category.

How many benchmarks do DeepSeek LLM 67B and Qwen3.7 Plus share?

14 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Qwen3.7 Plus has 32.

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