Model Comparison

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

Meta

Llama 3.1 70B Instruct

Meta

Llama 3.1 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 74.7% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (95.1%), ARC-C (94.8%), API-Bank (90.0%). 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.

OpenAI

o3

OpenAI

o3 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 65.3% across 19 benchmarks. It excels particularly in AIME 2024 (91.6%), ARC-AGI (88.0%), MathVista (86.8%). The model shows particular specialization in vision tasks with an average performance of 76.7%. It supports a 300K token context window for handling large documents. 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 OpenAI's latest advancement in AI technology.

Meta

Llama 3.1 70B Instruct

Meta

2024-07-23

OpenAI

o3

OpenAI

2025-04-16

8 months newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 3.1 70B Instruct

$9.60 cheaper
Input:$0.20
Output:$0.20
OpenAI

o3

Input:$2.00
Output:$8.00

Performance Metrics

Context window and performance specifications

Meta

Llama 3.1 70B Instruct

Max Context:256.0K
Parameters:70.0B
OpenAI

o3

Larger context
Max Context:300.0K

Average performance across 1 common benchmarks

Meta

Llama 3.1 70B Instruct

Average Score:41.7%
OpenAI

o3

+41.6%
Average Score:83.3%

Performance comparison across key benchmark categories

Meta

Llama 3.1 70B Instruct

reasoning
+47.5%
94.8%
math
+32.0%
83.3%
general
+1.2%
68.7%
OpenAI

o3

reasoning
47.3%
math
51.3%
general
67.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

o3

2024-05-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Meta

Llama 3.1 70B Instruct

9 providers

Sambanova

Throughput: 74 tok/s
Latency: 0.5ms

Together

Throughput: 94 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 25 tok/s
Latency: 0.5ms

Fireworks

Throughput: 32 tok/s
Latency: 0.5ms

Groq

Throughput: 250 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms

Cerebras

Throughput: 1204 tok/s
Latency: 0.2ms
OpenAI

o3

1 providers

OpenAI

Throughput: 50 tok/s
Latency: 20ms
Meta

Llama 3.1 70B Instruct

Avg Score:41.7%
Providers:9
OpenAI

o3

+41.6%
Avg Score:83.3%
Providers:1