Model Comparison

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

Anthropic

Claude Opus 4

Anthropic

Claude Opus 4 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 64.6% across 9 benchmarks. It excels particularly in MMMLU (88.8%), TAU-bench Retail (81.4%), GPQA (79.6%). It supports a 328K token context window for handling large documents. The model is available through 3 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Anthropic'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

Anthropic

Claude Opus 4

Anthropic

2025-05-22

10 months newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude Opus 4

Input:$15.00
Output:$75.00
Meta

Llama 3.1 8B Instruct

$89.94 cheaper
Input:$0.03
Output:$0.03

Performance Metrics

Context window and performance specifications

Anthropic

Claude Opus 4

Larger context
Max Context:328.0K
Meta

Llama 3.1 8B Instruct

Max Context:262.1K
Parameters:8.0B

Average performance across 1 common benchmarks

Anthropic

Claude Opus 4

+49.2%
Average Score:79.6%
Meta

Llama 3.1 8B Instruct

Average Score:30.4%

Performance comparison across key benchmark categories

Anthropic

Claude Opus 4

reasoning
8.6%
general
+17.1%
71.1%
Meta

Llama 3.1 8B Instruct

reasoning
+74.8%
83.4%
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

Anthropic

Claude Opus 4

3 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Bedrock

Throughput: 120 tok/s
Latency: 0.5ms

Anthropic

Throughput: 100 tok/s
Latency: 0.5ms
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
Anthropic

Claude Opus 4

+49.2%
Avg Score:79.6%
Providers:3
Meta

Llama 3.1 8B Instruct

Avg Score:30.4%
Providers:9