Model Comparison

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

Jamba 1.5 Mini

AI21 Labs

Jamba 1.5 Mini is a language model developed by AI21 Labs. The model shows competitive results across 8 benchmarks. It excels particularly in ARC-C (85.7%), GSM8k (75.8%), MMLU (69.7%). 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 NeMo Instruct

Mistral AI

Mistral NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). The model shows particular specialization in reasoning tasks with an average performance of 80.2%. It supports a 256K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Mistral NeMo Instruct

Mistral AI

2024-07-18

Jamba 1.5 Mini

AI21 Labs

2024-08-22

1 month newer

Pricing Comparison

Cost per million tokens (USD)

Jamba 1.5 Mini

Input:$0.20
Output:$0.40
Mistral AI

Mistral NeMo Instruct

$0.30 cheaper
Input:$0.15
Output:$0.15

Performance Metrics

Context window and performance specifications

Jamba 1.5 Mini

Larger context
Max Context:512.3K
Parameters:52.0B
Mistral AI

Mistral NeMo Instruct

Max Context:256.0K
Parameters:12.0B

Average performance across 2 common benchmarks

Jamba 1.5 Mini

+2.7%
Average Score:61.9%
Mistral AI

Mistral NeMo Instruct

Average Score:59.2%

Performance comparison across key benchmark categories

Jamba 1.5 Mini

reasoning
+5.5%
85.7%
general
46.6%
factuality
+3.8%
54.1%
Mistral AI

Mistral NeMo Instruct

reasoning
80.2%
general
+14.2%
60.8%
factuality
50.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Jamba 1.5 Mini

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 Mini

2 providers

Google

Throughput: 100 tok/s
Latency: 0.3ms

Bedrock

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

Mistral NeMo Instruct

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms

Jamba 1.5 Mini

+2.7%
Avg Score:61.9%
Providers:2
Mistral AI

Mistral NeMo Instruct

Avg Score:59.2%
Providers:2