Model Comparison

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

DeepSeek R1 Distill Qwen 14B

DeepSeek

DeepSeek R1 Distill Qwen 14B is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.5% across 4 benchmarks. It excels particularly in MATH-500 (93.9%), AIME 2024 (80.0%), GPQA (59.1%). It's licensed for commercial use, making it suitable for enterprise applications. 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 R1 Distill Qwen 14B

DeepSeek

2025-01-20

11 months newer

Performance Metrics

Context window and performance specifications

DeepSeek R1 Distill Qwen 14B

Max Context:-

Parameters:14.8B

Gemini 1.0 Pro

Larger context

Max Context:41.0K

Average performance across 1 common benchmarks

DeepSeek R1 Distill Qwen 14B

+31.2%

Average Score:59.1%

Gemini 1.0 Pro

Average Score:27.9%

Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 14B

math

+54.3%

93.9%

general

+18.1%

69.5%

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 R1 Distill Qwen 14B

0 providers

Gemini 1.0 Pro

1 providers

Google

Throughput: 120 tok/s

Latency: 0.4ms

DeepSeek R1 Distill Qwen 14B

+31.2%

Avg Score:59.1%

Providers:0

Gemini 1.0 Pro

Avg Score:27.9%

Providers:1