Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek-V3 0324

DeepSeek

DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Gemini 1.0 Pro

Google

Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.

Gemini 1.0 Pro

Google

2024-02-15

DeepSeek-V3 0324

DeepSeek

2025-03-25

1 year newer

Performance Metrics

Context window and performance specifications

DeepSeek-V3 0324

Max Context:-

Parameters:671.0B

Gemini 1.0 Pro

Larger context

Max Context:41.0K

Average performance across 1 common benchmarks

DeepSeek-V3 0324

+40.5%

Average Score:68.4%

Gemini 1.0 Pro

Average Score:27.9%

Performance comparison across key benchmark categories

DeepSeek-V3 0324

math

+54.4%

94.0%

general

+18.3%

69.7%

Gemini 1.0 Pro

math

39.6%

general

51.4%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Gemini 1.0 Pro

2024-02-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek-V3 0324

0 providers

Gemini 1.0 Pro

1 providers

Google

Throughput: 120 tok/s

Latency: 0.4ms

DeepSeek-V3 0324

+40.5%

Avg Score:68.4%

Providers:0

Gemini 1.0 Pro

Avg Score:27.9%

Providers:1