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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 70B Instruct

Meta

Llama 3.1 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 74.7% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (95.1%), ARC-C (94.8%), API-Bank (90.0%). It supports a 256K 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 70B 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 70B Instruct

$0.20 cheaper
Input:$0.20
Output:$0.20

Performance Metrics

Context window and performance specifications

Jamba 1.5 Mini

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

Llama 3.1 70B Instruct

Max Context:256.0K
Parameters:70.0B

Average performance across 4 common benchmarks

Jamba 1.5 Mini

Average Score:57.5%
Meta

Llama 3.1 70B Instruct

+14.1%
Average Score:71.6%

Performance comparison across key benchmark categories

Jamba 1.5 Mini

reasoning
85.7%
math
75.8%
general
46.6%
Meta

Llama 3.1 70B Instruct

reasoning
+9.1%
94.8%
math
+7.5%
83.3%
general
+22.1%
68.7%
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
Meta

Llama 3.1 70B Instruct

9 providers

Sambanova

Throughput: 74 tok/s
Latency: 0.5ms

Together

Throughput: 94 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 25 tok/s
Latency: 0.5ms

Fireworks

Throughput: 32 tok/s
Latency: 0.5ms

Groq

Throughput: 250 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms

Cerebras

Throughput: 1204 tok/s
Latency: 0.2ms

Jamba 1.5 Mini

Avg Score:57.5%
Providers:2
Meta

Llama 3.1 70B Instruct

+14.1%
Avg Score:71.6%
Providers:9