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-mini

OpenAI

o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Meta

Llama 3.1 70B Instruct

Meta

2024-07-23

OpenAI

o3-mini

OpenAI

2025-01-30

6 months newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 3.1 70B Instruct

$5.10 cheaper
Input:$0.20
Output:$0.20
OpenAI

o3-mini

Input:$1.10
Output:$4.40

Performance Metrics

Context window and performance specifications

Meta

Llama 3.1 70B Instruct

Max Context:256.0K
Parameters:70.0B
OpenAI

o3-mini

Larger context
Max Context:300.0K

Average performance across 3 common benchmarks

Meta

Llama 3.1 70B Instruct

Average Score:70.9%
OpenAI

o3-mini

+15.1%
Average Score:86.0%

Performance comparison across key benchmark categories

Meta

Llama 3.1 70B Instruct

code
76.3%
math
+17.0%
83.3%
general
+13.5%
68.7%
OpenAI

o3-mini

code
+17.6%
93.9%
math
66.4%
general
55.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

o3-mini

2023-09-30

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-mini

2 providers

Azure

Throughput: 115 tok/s
Latency: 5.2ms

OpenAI

Throughput: 115 tok/s
Latency: 5.2ms
Meta

Llama 3.1 70B Instruct

Avg Score:70.9%
Providers:9
OpenAI

o3-mini

+15.1%
Avg Score:86.0%
Providers:2