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.

Mistral AI

Magistral Medium

Mistral AI

Magistral Medium is a multimodal language model developed by Mistral AI. The model shows competitive results across 6 benchmarks. Notable strengths include AIME 2024 (73.6%), GPQA (70.8%), AIME 2025 (64.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

Meta

Llama 3.1 70B Instruct

Meta

2024-07-23

Mistral AI

Magistral Medium

Mistral AI

2025-06-10

10 months newer

Performance Metrics

Context window and performance specifications

Meta

Llama 3.1 70B Instruct

Larger context
Max Context:256.0K
Parameters:70.0B
Mistral AI

Magistral Medium

Max Context:-
Parameters:24.0B

Average performance across 1 common benchmarks

Meta

Llama 3.1 70B Instruct

Average Score:41.7%
Mistral AI

Magistral Medium

+29.1%
Average Score:70.8%

Performance comparison across key benchmark categories

Meta

Llama 3.1 70B Instruct

code
+26.0%
76.3%
general
+15.6%
68.7%
Mistral AI

Magistral Medium

code
50.3%
general
53.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Magistral Medium

2025-06-01

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
Mistral AI

Magistral Medium

0 providers
Meta

Llama 3.1 70B Instruct

Avg Score:41.7%
Providers:9
Mistral AI

Magistral Medium

+29.1%
Avg Score:70.8%
Providers:0