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 Small

Mistral AI

Mistral Small is a language model developed by Mistral AI. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Jamba 1.5 Mini

AI21 Labs

2024-08-22

Mistral Small

Mistral AI

2024-09-17

26 days newer

Pricing Comparison

Cost per million tokens (USD)

Jamba 1.5 Mini

$0.20 cheaper

Input:$0.20

Output:$0.40

Mistral Small

Input:$0.20

Output:$0.60

Performance Metrics

Context window and performance specifications

Jamba 1.5 Mini

Larger context

Max Context:512.3K

Parameters:52.0B

Mistral Small

Max Context:65.5K

Parameters:22.0B

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 Small

1 providers

Mistral AI

Throughput: 0.1 tok/s

Latency: 0.5ms

Jamba 1.5 Mini

Avg Score:0.0%

Providers:2

Mistral Small

Avg Score:0.0%

Providers:1