Model Comparison

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

Anthropic

Claude 3.7 Sonnet

Anthropic

Claude 3.7 Sonnet is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 74.1% across 11 benchmarks. It excels particularly in MATH-500 (96.2%), IFEval (93.2%), MMMLU (86.1%). It supports a 328K token context window for handling large documents. The model is available through 4 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.

IBM

Granite 3.3 8B Instruct

IBM

Granite 3.3 8B Instruct is a multimodal language model developed by IBM. It achieves strong performance with an average score of 69.8% across 14 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). The model shows particular specialization in code tasks with an average performance of 78.3%. 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 IBM's latest advancement in AI technology.

Anthropic

Claude 3.7 Sonnet

Anthropic

2025-02-24

IBM

Granite 3.3 8B Instruct

IBM

2025-04-16

1 month newer

Performance Metrics

Context window and performance specifications

Anthropic

Claude 3.7 Sonnet

Larger context
Max Context:328.0K
IBM

Granite 3.3 8B Instruct

Max Context:-
Parameters:8.0B

Average performance across 3 common benchmarks

Anthropic

Claude 3.7 Sonnet

+14.8%
Average Score:89.8%
IBM

Granite 3.3 8B Instruct

Average Score:75.0%

Performance comparison across key benchmark categories

Anthropic

Claude 3.7 Sonnet

math
+21.2%
96.2%
code
+14.9%
93.2%
general
+4.6%
68.5%
IBM

Granite 3.3 8B Instruct

math
75.0%
code
78.3%
general
63.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Granite 3.3 8B Instruct

2024-04-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Anthropic

Claude 3.7 Sonnet

4 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Bedrock

Throughput: 101 tok/s
Latency: 0.5ms

Anthropic

Throughput: 42 tok/s
Latency: 0.4ms

ZeroEval

Throughput: 42 tok/s
Latency: 0.4ms
IBM

Granite 3.3 8B Instruct

0 providers
Anthropic

Claude 3.7 Sonnet

+14.8%
Avg Score:89.8%
Providers:4
IBM

Granite 3.3 8B Instruct

Avg Score:75.0%
Providers:0