Model Comparison

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

Jamba 1.5 Large

AI21 Labs

Jamba 1.5 Large is a language model developed by AI21 Labs. It achieves strong performance with an average score of 65.5% across 8 benchmarks. It excels particularly in ARC-C (93.0%), GSM8k (87.0%), MMLU (81.2%). It supports a 512K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents AI21 Labs's latest advancement in AI technology.

Mistral AI

Mistral Small 3.1 24B Instruct

Mistral AI

Mistral Small 3.1 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 64.0% across 9 benchmarks. It excels particularly in HumanEval (88.4%), MMLU (80.6%), TriviaQA (80.5%). The model shows particular specialization in code tasks with an average performance of 81.6%. 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.

Jamba 1.5 Large

AI21 Labs

2024-08-22

Mistral AI

Mistral Small 3.1 24B Instruct

Mistral AI

2025-03-17

6 months newer

Performance Metrics

Context window and performance specifications

Jamba 1.5 Large

Larger context
Max Context:512.0K
Parameters:398.0B
Mistral AI

Mistral Small 3.1 24B Instruct

Max Context:-
Parameters:24.0B

Average performance across 3 common benchmarks

Jamba 1.5 Large

Average Score:57.2%
Mistral AI

Mistral Small 3.1 24B Instruct

+7.2%
Average Score:64.4%

Performance comparison across key benchmark categories

Jamba 1.5 Large

math
+17.7%
87.0%
general
+0.2%
57.1%
Mistral AI

Mistral Small 3.1 24B Instruct

math
69.3%
general
56.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Jamba 1.5 Large

2024-03-05

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Jamba 1.5 Large

2 providers

Google

Throughput: 42 tok/s
Latency: 0.3ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
Mistral AI

Mistral Small 3.1 24B Instruct

0 providers

Jamba 1.5 Large

Avg Score:57.2%
Providers:2
Mistral AI

Mistral Small 3.1 24B Instruct

+7.2%
Avg Score:64.4%
Providers:0