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.

Meta

Llama 3.3 70B Instruct

Meta

Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). The model shows particular specialization in code tasks with an average performance of 89.4%. It supports a 256K 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.

DeepSeek

DeepSeek-V2.5

DeepSeek

2024-05-08

Meta

Llama 3.3 70B Instruct

Meta

2024-12-06

7 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V2.5

Input:$0.14
Output:$0.28
Meta

Llama 3.3 70B Instruct

$0.02 cheaper
Input:$0.20
Output:$0.20

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V2.5

Max Context:16.4K
Parameters:236.0B
Meta

Llama 3.3 70B Instruct

Larger context
Max Context:256.0K
Parameters:70.0B

Average performance across 3 common benchmarks

DeepSeek

DeepSeek-V2.5

Average Score:81.4%
Meta

Llama 3.3 70B Instruct

+2.4%
Average Score:83.8%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V2.5

code
66.1%
math
+0.8%
84.9%
general
68.4%
Meta

Llama 3.3 70B Instruct

code
+23.3%
89.4%
math
84.0%
general
+2.3%
70.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

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
Meta

Llama 3.3 70B Instruct

9 providers

Sambanova

Throughput: 1096 tok/s
Latency: 0.65ms

Together

Throughput: 65 tok/s
Latency: 0.65ms

Hyperbolic

Throughput: 42 tok/s
Latency: 0.65ms

DeepInfra

Throughput: 37 tok/s
Latency: 0.65ms

Fireworks

Throughput: 197 tok/s
Latency: 0.65ms

Groq

Throughput: 268 tok/s
Latency: 0.65ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Lambda

Throughput: 42 tok/s
Latency: 0.65ms

Cerebras

Throughput: 2220 tok/s
Latency: 0.65ms
DeepSeek

DeepSeek-V2.5

Avg Score:81.4%
Providers:3
Meta

Llama 3.3 70B Instruct

+2.4%
Avg Score:83.8%
Providers:9