Model comparison

Deepseek Coder v2 vs Gemini 1.0 Pro

Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 27.3 on the Noometry Index.

Last verified . 18 shared benchmarks.

Deepseek Coder v2 DeepSeek

35.9

Rank #220 Confirmed

Gemini 1.0 Pro Google

27.3

Rank #332 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Deepseek Coder v2 scores higher in 8 categories and Gemini 1.0 Pro in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Deepseek Coder v2 leads 34.9 to 9.3.
  • Deepseek Coder v2 has downloadable open weights; the other is API-only.

Side by side

Deepseek Coder v2 and Gemini 1.0 Pro specifications
Deepseek Coder v2Gemini 1.0 Pro
ProviderDeepSeekGoogle
Noometry Index35.927.3
Released2024-06-172023-12-13
WeightsOpenProprietary
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked2424

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Category by category

Coding Deepseek Coder v2 leads

Deepseek Coder v2: 38.1 (#183), Gemini 1.0 Pro: 32.2 (#275)

Coding benchmarks
BenchmarkDeepseek Coder v2Gemini 1.0 Pro
LMArena Coding12511108
HumanEval+82.3%55.5%
MBPP+75.1%61.4%
BigCodeBench Instruct48.2%—
BigCodeBench Complete59.7%—

Reasoning Deepseek Coder v2 leads

Deepseek Coder v2: 23.6 (#176), Gemini 1.0 Pro: 17.1 (#296)

Reasoning benchmarks
BenchmarkDeepseek Coder v2Gemini 1.0 Pro
LMArena Hard Prompts12071109
DTBench—45.9%
Epoch Capabilities Index—117.04
WinoGrande83.7%—

Math Deepseek Coder v2 leads

Deepseek Coder v2: 34.9 (#190), Gemini 1.0 Pro: 9.3 (#321)

Math benchmarks
BenchmarkDeepseek Coder v2Gemini 1.0 Pro
LMArena Math12411132
OTIS Mock AIME 2024-2025—1.1%
MATH Level 5—11.2%
GSM8K94.5%—

Knowledge Deepseek Coder v2 leads

Deepseek Coder v2: 32.3 (#212), Gemini 1.0 Pro: 15.6 (#291)

Knowledge benchmarks
BenchmarkDeepseek Coder v2Gemini 1.0 Pro
LMArena Expert11811059
GPQA Diamond—34%
ARC (AI2) Challenge64.3%—
MMLU—70%

Multilingual Deepseek Coder v2 leads

Deepseek Coder v2: 36.3 (#240), Gemini 1.0 Pro: 33.4 (#252)

Multilingual benchmarks
BenchmarkDeepseek Coder v2Gemini 1.0 Pro
LMArena Non-English11821138
LMArena Chinese12011124
LMArena French11851145
LMArena German11641125
LMArena Japanese11261023
LMArena Russian11881186
LMArena Spanish11531119
LMArena Korean1104—

Instruction Following Deepseek Coder v2 leads

Deepseek Coder v2: 61.7 (#242), Gemini 1.0 Pro: 57.6 (#267)

Instruction Following benchmarks
BenchmarkDeepseek Coder v2Gemini 1.0 Pro
LMArena Instruction Following11801114

Long Context Deepseek Coder v2 leads

Deepseek Coder v2: 37.0 (#224), Gemini 1.0 Pro: 34.3 (#249)

Long Context benchmarks
BenchmarkDeepseek Coder v2Gemini 1.0 Pro
LMArena Longer Query12191132

Writing & Preference Deepseek Coder v2 leads

Deepseek Coder v2: 38.2 (#253), Gemini 1.0 Pro: 36.0 (#264)

Writing & Preference benchmarks
BenchmarkDeepseek Coder v2Gemini 1.0 Pro
LMArena Text11911149
LMArena Creative Writing11201131
LMArena Multi-Turn11771139

Frequently asked questions

Is Deepseek Coder v2 better than Gemini 1.0 Pro?

Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 27.3 on the Noometry Index.

Is Deepseek Coder v2 or Gemini 1.0 Pro better for coding?

Deepseek Coder v2 scores higher on coding benchmarks: 38.1 versus 32.2 in the Noometry coding category.

How many benchmarks do Deepseek Coder v2 and Gemini 1.0 Pro share?

18 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Gemini 1.0 Pro has 24.

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