Model Comparison

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

DeepSeek

DeepSeek R1 Distill Llama 70B

DeepSeek

DeepSeek R1 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Google

Gemini 2.0 Flash-Lite

Google

Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

DeepSeek

DeepSeek R1 Distill Llama 70B

DeepSeek

2025-01-20

Google

Gemini 2.0 Flash-Lite

Google

2025-02-05

16 days newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek R1 Distill Llama 70B

Input:$0.10
Output:$0.40
Google

Gemini 2.0 Flash-Lite

$0.13 cheaper
Input:$0.07
Output:$0.30

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek R1 Distill Llama 70B

Max Context:256.0K
Parameters:70.6B
Google

Gemini 2.0 Flash-Lite

Larger context
Max Context:1.1M

Average performance across 1 common benchmarks

DeepSeek

DeepSeek R1 Distill Llama 70B

+13.7%
Average Score:65.2%
Google

Gemini 2.0 Flash-Lite

Average Score:51.5%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Llama 70B

math
+23.5%
94.5%
general
+20.5%
76.0%
code
+28.6%
57.5%
Google

Gemini 2.0 Flash-Lite

math
71.0%
general
55.5%
code
28.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.0 Flash-Lite

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 R1 Distill Llama 70B

1 providers

DeepInfra

Throughput: 37 tok/s
Latency: 0.65ms
Google

Gemini 2.0 Flash-Lite

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
DeepSeek

DeepSeek R1 Distill Llama 70B

+13.7%
Avg Score:65.2%
Providers:1
Google

Gemini 2.0 Flash-Lite

Avg Score:51.5%
Providers:1