Model Comparison

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

DeepSeek

DeepSeek-R1

DeepSeek

DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

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.

Jamba 1.5 Mini

AI21 Labs

2024-08-22

DeepSeek

DeepSeek-R1

DeepSeek

2025-01-20

5 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-R1

Input:$0.55
Output:$2.19

Jamba 1.5 Mini

$2.14 cheaper
Input:$0.20
Output:$0.40

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-R1

Max Context:262.1K
Parameters:671.0B

Jamba 1.5 Mini

Larger context
Max Context:512.3K
Parameters:52.0B

Average performance across 4 common benchmarks

DeepSeek

DeepSeek-R1

+37.0%
Average Score:84.6%

Jamba 1.5 Mini

Average Score:47.6%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-R1

math
+21.5%
97.3%
reasoning
1.3%
general
+28.7%
75.3%

Jamba 1.5 Mini

math
75.8%
reasoning
+84.4%
85.7%
general
46.6%
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

DeepSeek

DeepSeek-R1

4 providers

Together

Throughput: 4 tok/s
Latency: 0.6ms

DeepInfra

Throughput: 0.9 tok/s
Latency: 0.3ms

Fireworks

Throughput: 2.1 tok/s
Latency: 0.3ms

DeepSeek

Throughput: 9 tok/s
Latency: 0.3ms

Jamba 1.5 Mini

2 providers

Google

Throughput: 100 tok/s
Latency: 0.3ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
DeepSeek

DeepSeek-R1

+37.0%
Avg Score:84.6%
Providers:4

Jamba 1.5 Mini

Avg Score:47.6%
Providers:2