Noometry

Model comparison

DeepSeek LLM 67B vs GPT-4.1

GPT-4.1 is the stronger model overall, scoring 35.9 to 24.9 on the Noometry Index.

Last verified . 15 shared benchmarks.

DeepSeek LLM 67B DeepSeek

24.9

Rank #347 Confirmed

GPT-4.1 OpenAI

35.9

Rank #219 Confirmed

Summary

  • They share 15 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 1 category and GPT-4.1 in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-4.1 leads 37.1 to 7.0.
  • The biggest single-benchmark swing is MATH Level 5: 6.4% for DeepSeek LLM 67B and 83% for GPT-4.1.
  • DeepSeek LLM 67B has downloadable open weights; the other is API-only.

Side by side

DeepSeek LLM 67BGPT-4.1
ProviderDeepSeekOpenAI
Noometry Index24.935.9
Released2023-11-292025-04-14
WeightsOpenProprietary
Context window—1.05M
Max output—33K
Input $ / M tokens—$2
Output $ / M tokens—$8
Results tracked1552

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Category by category

Coding GPT-4.1 leads

DeepSeek LLM 67B: 31.9 (#278), GPT-4.1: 34.4 (#238)

BenchmarkDeepSeek LLM 67BGPT-4.1
LMArena Coding10961391
SWE-bench Verified—48.5%
SWE-bench Verified (bash only)—39.6%
Aider Polyglot—52.4%
WeirdML—39%
CadEval—42%
ALE-Bench—558.1

Agentic & Tool Use Not comparable

DeepSeek LLM 67B: —, GPT-4.1: 34.7 (#43)

BenchmarkDeepSeek LLM 67BGPT-4.1
Berkeley Function Calling Leaderboard—54%

Reasoning DeepSeek LLM 67B leads

DeepSeek LLM 67B: 16.5 (#304), GPT-4.1: 11.7 (#339)

BenchmarkDeepSeek LLM 67BGPT-4.1
Chess Puzzles0%6%
LMArena Hard Prompts10701384
Epoch Capabilities Index110.5136.78
ARC-AGI-2—0.4%
SimpleBench—27%
Kagi LLM Benchmark—52.3%
ARC-AGI-1—5.5%
EnigmaEval—2.2%
DTBench—68.3%
LMCA—25.6%
ForecastBench—61.5

Math GPT-4.1 leads

DeepSeek LLM 67B: 8.7 (#324), GPT-4.1: 22.3 (#280)

BenchmarkDeepSeek LLM 67BGPT-4.1
OTIS Mock AIME 2024-20250.8%38.3%
LMArena Math11081370
MATH Level 56.4%83%
FrontierMath (Tiers 1-3)—6%
Omni-MATH—47.1%
FrontierMath (Feb 2025 set)—5.5%
FrontierMath Tier 4 (v1)—0%

Knowledge GPT-4.1 leads

DeepSeek LLM 67B: 7.0 (#313), GPT-4.1: 37.1 (#160)

BenchmarkDeepSeek LLM 67BGPT-4.1
GPQA Diamond24.6%66.9%
Humanity's Last Exam—5.4%
SimpleQA Verified—31.1%
MMLU-Pro—81.1%
Vectara Hallucination Rate—5.6%
GPQA (HELM)—65.9%
LMArena Expert—1364

Multimodal Not comparable

DeepSeek LLM 67B: —, GPT-4.1: 38.2 (#67)

BenchmarkDeepSeek LLM 67BGPT-4.1
LMArena Vision—1211
GeoBench—72%

Multilingual GPT-4.1 leads

DeepSeek LLM 67B: 29.4 (#267), GPT-4.1: 49.4 (#133)

BenchmarkDeepSeek LLM 67BGPT-4.1
LMArena Non-English10731370
LMArena Chinese11321382
LMArena French—1382
LMArena German—1381
LMArena Japanese—1319
LMArena Korean—1339
LMArena Russian—1377
LMArena Spanish—1376

Instruction Following GPT-4.1 leads

DeepSeek LLM 67B: 55.4 (#277), GPT-4.1: 71.3 (#153)

BenchmarkDeepSeek LLM 67BGPT-4.1
LMArena Instruction Following10791367
IFEval—83.8%

Long Context GPT-4.1 leads

DeepSeek LLM 67B: 33.1 (#265), GPT-4.1: 40.0 (#163)

BenchmarkDeepSeek LLM 67BGPT-4.1
LMArena Longer Query10921385
Fiction.LiveBench—63.9%

Writing & Preference GPT-4.1 leads

DeepSeek LLM 67B: 31.6 (#282), GPT-4.1: 57.6 (#125)

BenchmarkDeepSeek LLM 67BGPT-4.1
LMArena Text11051383
LMArena Creative Writing10671363
LMArena Multi-Turn10821398
EQ-Bench Creative Writing—1420
WildBench—85.4%

Frequently asked questions

Is DeepSeek LLM 67B better than GPT-4.1?

GPT-4.1 is the stronger model overall, scoring 35.9 to 24.9 on the Noometry Index.

Is DeepSeek LLM 67B or GPT-4.1 better for coding?

GPT-4.1 scores higher on coding benchmarks: 34.4 versus 31.9 in the Noometry coding category.

How many benchmarks do DeepSeek LLM 67B and GPT-4.1 share?

15 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and GPT-4.1 has 52.

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