Model Comparison

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

DeepSeek

DeepSeek-V2.5

DeepSeek

DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

Google

Gemma 3n E2B Instructed LiteRT (Preview)

Google

Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

DeepSeek

DeepSeek-V2.5

DeepSeek

2024-05-08

Google

Gemma 3n E2B Instructed LiteRT (Preview)

Google

2025-05-20

1 year newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V2.5

Larger context
Max Context:16.4K
Parameters:236.0B
Google

Gemma 3n E2B Instructed LiteRT (Preview)

Max Context:-
Parameters:1.9B

Average performance across 2 common benchmarks

DeepSeek

DeepSeek-V2.5

+21.4%
Average Score:84.7%
Google

Gemma 3n E2B Instructed LiteRT (Preview)

Average Score:63.3%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V2.5

math
+44.5%
84.9%
general
+26.2%
68.4%
code
+32.9%
66.1%
Google

Gemma 3n E2B Instructed LiteRT (Preview)

math
40.4%
general
42.2%
code
33.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemma 3n E2B Instructed LiteRT (Preview)

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V2.5

3 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 63 tok/s
Latency: 0.5ms

DeepSeek

Throughput: 100 tok/s
Latency: 0.5ms
Google

Gemma 3n E2B Instructed LiteRT (Preview)

0 providers
DeepSeek

DeepSeek-V2.5

+21.4%
Avg Score:84.7%
Providers:3
Google

Gemma 3n E2B Instructed LiteRT (Preview)

Avg Score:63.3%
Providers:0