Model Comparison

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

DeepSeek

DeepSeek-R1-0528

DeepSeek

DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 68.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), AIME 2024 (91.4%), AIME 2025 (87.5%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Meta

Llama 3.1 8B Instruct

Meta

Llama 3.1 8B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 61.3% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (84.5%), ARC-C (83.4%), API-Bank (82.6%). It supports a 262K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Meta

Llama 3.1 8B Instruct

Meta

2024-07-23

DeepSeek

DeepSeek-R1-0528

DeepSeek

2025-05-28

10 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-R1-0528

Input:$0.50
Output:$2.15
Meta

Llama 3.1 8B Instruct

$2.59 cheaper
Input:$0.03
Output:$0.03

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-R1-0528

Max Context:262.1K
Parameters:671.0B
Meta

Llama 3.1 8B Instruct

Max Context:262.1K
Parameters:8.0B

Average performance across 2 common benchmarks

DeepSeek

DeepSeek-R1-0528

+43.7%
Average Score:83.0%
Meta

Llama 3.1 8B Instruct

Average Score:39.3%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-R1-0528

code
+7.5%
73.3%
general
+15.2%
69.2%
Meta

Llama 3.1 8B Instruct

code
65.8%
general
54.0%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Llama 3.1 8B Instruct

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-R1-0528

3 providers

DeepInfra

Throughput: 45.04 tok/s
Latency: 0.61ms

Novita

Throughput: 37.96 tok/s
Latency: 1.18ms

DeepSeek

Throughput: 9 tok/s
Latency: 0.3ms
Meta

Llama 3.1 8B Instruct

9 providers

Sambanova

Throughput: 1050 tok/s
Latency: 0.5ms

Together

Throughput: 194 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 200 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 118 tok/s
Latency: 0.5ms

Fireworks

Throughput: 292 tok/s
Latency: 0.5ms

Groq

Throughput: 750 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms

Cerebras

Throughput: 2047 tok/s
Latency: 0.2ms
DeepSeek

DeepSeek-R1-0528

+43.7%
Avg Score:83.0%
Providers:3
Meta

Llama 3.1 8B Instruct

Avg Score:39.3%
Providers:9