Noometry

Model comparison

Deepseek Coder v2 vs GPT-4.1 nano

Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 27.9 on the Noometry Index.

Last verified . 14 shared benchmarks.

Deepseek Coder v2 DeepSeek

35.9

Rank #220 Confirmed

GPT-4.1 nano OpenAI

27.9

Rank #327 Confirmed

Summary

  • They share 14 benchmarks with published results for both. Deepseek Coder v2 scores higher in 5 categories and GPT-4.1 nano in 3 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Deepseek Coder v2 leads 23.6 to 8.5.
  • Deepseek Coder v2 has downloadable open weights; the other is API-only.

Side by side

Deepseek Coder v2GPT-4.1 nano
ProviderDeepSeekOpenAI
Noometry Index35.927.9
Released2024-06-172025-04-14
WeightsOpenProprietary
Context window—1.05M
Max output—33K
Input $ / M tokens—$0.10
Output $ / M tokens—$0.40
Results tracked2438

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Category by category

Coding Deepseek Coder v2 leads

Deepseek Coder v2: 38.1 (#183), GPT-4.1 nano: 24.1 (#330)

BenchmarkDeepseek Coder v2GPT-4.1 nano
LMArena Coding12511306
Aider Polyglot—8.9%
SciCode—25.9%
WeirdML—19%
BigCodeBench Instruct48.2%—
BigCodeBench Complete59.7%—
HumanEval+82.3%—
MBPP+75.1%—

Agentic & Tool Use Not comparable

Deepseek Coder v2: —, GPT-4.1 nano: 26.5 (#104)

BenchmarkDeepseek Coder v2GPT-4.1 nano
Berkeley Function Calling Leaderboard—33%

Reasoning Deepseek Coder v2 leads

Deepseek Coder v2: 23.6 (#176), GPT-4.1 nano: 8.5 (#349)

BenchmarkDeepseek Coder v2GPT-4.1 nano
LMArena Hard Prompts12071286
ARC-AGI-2—0%
Kagi LLM Benchmark—33.3%
ARC-AGI-1—0%
CritPt—0%
DTBench—52.5%
LMCA—5.5%
Epoch Capabilities Index—129.62
WinoGrande83.7%—

Math Deepseek Coder v2 leads

Deepseek Coder v2: 34.9 (#190), GPT-4.1 nano: 26.9 (#252)

BenchmarkDeepseek Coder v2GPT-4.1 nano
LMArena Math12411274
OTIS Mock AIME 2024-2025—28.9%
Omni-MATH—36.7%
MATH Level 5—70%
FrontierMath (Feb 2025 set)—1%
GSM8K94.5%—

Knowledge Deepseek Coder v2 leads

Deepseek Coder v2: 32.3 (#212), GPT-4.1 nano: 21.8 (#273)

BenchmarkDeepseek Coder v2GPT-4.1 nano
LMArena Expert11811272
GPQA Diamond—48.9%
SimpleQA Verified—6%
MMLU-Pro—55%
GPQA (HELM)—50.7%
ARC (AI2) Challenge64.3%—

Multimodal Not comparable

Deepseek Coder v2: —, GPT-4.1 nano: 29.2 (#113)

BenchmarkDeepseek Coder v2GPT-4.1 nano
LMArena Vision—1063

Multilingual GPT-4.1 nano leads

Deepseek Coder v2: 36.3 (#240), GPT-4.1 nano: 41.6 (#205)

BenchmarkDeepseek Coder v2GPT-4.1 nano
LMArena Non-English11821260
LMArena Chinese12011270
LMArena German11641288
LMArena Japanese11261198
LMArena Russian11881261
LMArena French1185—
LMArena Korean1104—
LMArena Spanish1153—

Instruction Following GPT-4.1 nano leads

Deepseek Coder v2: 61.7 (#242), GPT-4.1 nano: 67.8 (#193)

BenchmarkDeepseek Coder v2GPT-4.1 nano
LMArena Instruction Following11801267
IFEval—84.3%

Long Context Deepseek Coder v2 leads

Deepseek Coder v2: 37.0 (#224), GPT-4.1 nano: 23.7 (#296)

BenchmarkDeepseek Coder v2GPT-4.1 nano
LMArena Longer Query12191283
Fiction.LiveBench—25%

Writing & Preference GPT-4.1 nano leads

Deepseek Coder v2: 38.2 (#253), GPT-4.1 nano: 40.5 (#243)

BenchmarkDeepseek Coder v2GPT-4.1 nano
LMArena Text11911285
LMArena Creative Writing11201260
LMArena Multi-Turn11771277
EQ-Bench Creative Writing—946
WildBench—81.2%

Frequently asked questions

Is Deepseek Coder v2 better than GPT-4.1 nano?

Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 27.9 on the Noometry Index.

Is Deepseek Coder v2 or GPT-4.1 nano better for coding?

Deepseek Coder v2 scores higher on coding benchmarks: 38.1 versus 24.1 in the Noometry coding category.

How many benchmarks do Deepseek Coder v2 and GPT-4.1 nano share?

14 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and GPT-4.1 nano has 38.

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