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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.

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

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
Meta

Llama 3.1 8B Instruct

$0.54 cheaper
Input:$0.03
Output:$0.03

Performance Metrics

Context window and performance specifications

Jamba 1.5 Mini

Larger context
Max Context:512.3K
Parameters:52.0B
Meta

Llama 3.1 8B Instruct

Max Context:262.1K
Parameters:8.0B

Average performance across 4 common benchmarks

Jamba 1.5 Mini

Average Score:57.5%
Meta

Llama 3.1 8B Instruct

+0.3%
Average Score:57.9%

Performance comparison across key benchmark categories

Jamba 1.5 Mini

reasoning
+2.3%
85.7%
math
+7.4%
75.8%
general
46.6%
Meta

Llama 3.1 8B Instruct

reasoning
83.4%
math
68.4%
general
+7.4%
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

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
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

Jamba 1.5 Mini

Avg Score:57.5%
Providers:2
Meta

Llama 3.1 8B Instruct

+0.3%
Avg Score:57.9%
Providers:9