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 1.5 Flash

Google

Gemini 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). 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 2024, it represents Google's latest advancement in AI technology.

Google

Gemini 1.5 Flash

Google

2024-05-01

DeepSeek

DeepSeek R1 Distill Llama 70B

DeepSeek

2025-01-20

8 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek R1 Distill Llama 70B

$0.25 cheaper
Input:$0.10
Output:$0.40
Google

Gemini 1.5 Flash

Input:$0.15
Output:$0.60

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek R1 Distill Llama 70B

Max Context:256.0K
Parameters:70.6B
Google

Gemini 1.5 Flash

Larger context
Max Context:1.1M

Average performance across 1 common benchmarks

DeepSeek

DeepSeek R1 Distill Llama 70B

+14.2%
Average Score:65.2%
Google

Gemini 1.5 Flash

Average Score:51.0%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Llama 70B

math
+25.6%
94.5%
general
+13.2%
76.0%
code
57.5%
Google

Gemini 1.5 Flash

math
68.9%
general
62.7%
code
+10.2%
67.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 1.5 Flash

2023-11-01

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 1.5 Flash

1 providers

Google

Throughput: 150 tok/s
Latency: 0.3ms
DeepSeek

DeepSeek R1 Distill Llama 70B

+14.2%
Avg Score:65.2%
Providers:1
Google

Gemini 1.5 Flash

Avg Score:51.0%
Providers:1