Model comparison

DeepSeek LLM 67B vs Qwen3.8 Max

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 24.9 on the Noometry Index.

Last verified . 14 shared benchmarks.

DeepSeek LLM 67B DeepSeek

24.9

Rank #347 Confirmed

Qwen3.8 Max Alibaba (Qwen)

56.8

Rank #22 Confirmed

Summary

  • They share 14 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Qwen3.8 Max in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3.8 Max leads 73.2 to 8.7.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.8% for DeepSeek LLM 67B and 100% for Qwen3.8 Max.
  • DeepSeek LLM 67B has downloadable open weights; the other is API-only.

Side by side

DeepSeek LLM 67B and Qwen3.8 Max specifications
DeepSeek LLM 67BQwen3.8 Max
ProviderDeepSeekAlibaba (Qwen)
Noometry Index24.956.8
Released2023-11-292026-08-02
WeightsOpenProprietary
Context window—1M
Max output—131K
Input $ / M tokens—$2
Output $ / M tokens—$6
Results tracked1539

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Category by category

Coding Qwen3.8 Max leads

DeepSeek LLM 67B: 31.9 (#278), Qwen3.8 Max: 53.5 (#29)

Coding benchmarks
BenchmarkDeepSeek LLM 67BQwen3.8 Max
LMArena Coding10961502
DeepSWE—57.5%
LMArena WebDev—1674
FrontierSWE—17.8%
SciCode—53.2%

Agentic & Tool Use Not comparable

DeepSeek LLM 67B: —, Qwen3.8 Max: 45.4 (#14)

Agentic & Tool Use benchmarks
BenchmarkDeepSeek LLM 67BQwen3.8 Max
APEX-Agents—63.3%
τ²-bench Banking—55.1%
GDP.pdf—23.2%

Reasoning Qwen3.8 Max leads

DeepSeek LLM 67B: 16.5 (#304), Qwen3.8 Max: 54.4 (#26)

Reasoning benchmarks
BenchmarkDeepSeek LLM 67BQwen3.8 Max
Chess Puzzles0%40%
LMArena Hard Prompts10701496
Epoch Capabilities Index110.5156.41
NYT Connections (extended)—88.3%
CritPt—20%
Mystery Game Puzzles—38%
DTBench—92%
LMCA—46.2%

Math Qwen3.8 Max leads

DeepSeek LLM 67B: 8.7 (#324), Qwen3.8 Max: 73.2 (#20)

Math benchmarks
BenchmarkDeepSeek LLM 67BQwen3.8 Max
OTIS Mock AIME 2024-20250.8%100%
LMArena Math11081499
FrontierMath (Tiers 1-3)—74.7%
FrontierMath Tier 4—46.3%
ProofBench—58%
MATH Level 56.4%—

Knowledge Qwen3.8 Max leads

DeepSeek LLM 67B: 7.0 (#313), Qwen3.8 Max: 61.7 (#27)

Knowledge benchmarks
BenchmarkDeepSeek LLM 67BQwen3.8 Max
GPQA Diamond24.6%92.7%
SimpleQA Verified—47.3%
LMArena Expert—1507

Multimodal Not comparable

DeepSeek LLM 67B: —, Qwen3.8 Max: 37.2 (#75)

Multimodal benchmarks
BenchmarkDeepSeek LLM 67BQwen3.8 Max
LMArena Vision—1314
Furniture Assembly—20%

Multilingual Qwen3.8 Max leads

DeepSeek LLM 67B: 29.4 (#267), Qwen3.8 Max: 56.7 (#18)

Multilingual benchmarks
BenchmarkDeepSeek LLM 67BQwen3.8 Max
LMArena Non-English10731472
LMArena Chinese11321538
LMArena French—1503
LMArena German—1483
LMArena Japanese—1467
LMArena Korean—1461
LMArena Russian—1481
LMArena Spanish—1492

Instruction Following Qwen3.8 Max leads

DeepSeek LLM 67B: 55.4 (#277), Qwen3.8 Max: 77.6 (#17)

Instruction Following benchmarks
BenchmarkDeepSeek LLM 67BQwen3.8 Max
LMArena Instruction Following10791479

Long Context Qwen3.8 Max leads

DeepSeek LLM 67B: 33.1 (#265), Qwen3.8 Max: 45.6 (#31)

Long Context benchmarks
BenchmarkDeepSeek LLM 67BQwen3.8 Max
LMArena Longer Query10921489

Writing & Preference Qwen3.8 Max leads

DeepSeek LLM 67B: 31.6 (#282), Qwen3.8 Max: 67.1 (#30)

Writing & Preference benchmarks
BenchmarkDeepSeek LLM 67BQwen3.8 Max
LMArena Text11051483
LMArena Creative Writing10671479
LMArena Multi-Turn10821489

Frequently asked questions

Is DeepSeek LLM 67B better than Qwen3.8 Max?

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 24.9 on the Noometry Index.

Is DeepSeek LLM 67B or Qwen3.8 Max better for coding?

Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 31.9 in the Noometry coding category.

How many benchmarks do DeepSeek LLM 67B and Qwen3.8 Max share?

14 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Qwen3.8 Max has 39.

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