DeepSeek-V3 vs Jamba 1.5 Mini Comparison

Comparing DeepSeek-V3 and Jamba 1.5 Mini across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3 outperforms in 3 benchmarks (GPQA, MMLU, MMLU-Pro), while Jamba 1.5 Mini is better at 0 benchmarks.

DeepSeek-V3 significantly outperforms across most benchmarks.

Sun Mar 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Jamba 1.5 Mini costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 1.4x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 2.8x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).

In conclusion, DeepSeek-V3 is more expensive than Jamba 1.5 Mini.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Mar 15 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
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Model Size

Parameter count comparison

619.0B diff

DeepSeek-V3 has 619.0B more parameters than Jamba 1.5 Mini, making it 1190.4% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
671.0B
DeepSeek-V3
52.0B
Jamba 1.5 Mini

Context Window

Maximum input and output token capacity

Jamba 1.5 Mini accepts 256,144 input tokens compared to DeepSeek-V3's 131,072 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while DeepSeek-V3 is limited to 131,072 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Sun Mar 15 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Jamba 1.5 Mini uses Jamba Open Model License.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Jamba 1.5 Mini was released on 2024-08-22.

DeepSeek-V3 is 4 months newer than Jamba 1.5 Mini.

DeepSeek-V3

Dec 25, 2024

1.2 years ago

4mo newer
Jamba 1.5 Mini

Aug 22, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while DeepSeek-V3's cutoff date is not specified.

We can confirm Jamba 1.5 Mini's training data extends to 2024-03-05, but cannot make a direct comparison without DeepSeek-V3's cutoff date.

DeepSeek-V3

Jamba 1.5 Mini

Mar 2024

Provider Availability

DeepSeek-V3 is available from DeepSeek. Jamba 1.5 Mini is available from Bedrock, Google. The availability of providers can affect quality of the model and reliability.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

Jamba 1.5 Mini

bedrock logo
AWS Bedrock
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
google logo
Google
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Higher GPQA score (59.1% vs 32.3%)
Higher MMLU score (88.5% vs 69.7%)
Higher MMLU-Pro score (75.9% vs 42.5%)
Larger context window (256,144 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
AI21 Labs
Jamba 1.5 Mini