Model Comparison

DeepSeek VL2 vs Jamba 1.5 Large

Comparing DeepSeek VL2 and Jamba 1.5 Large across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and Jamba 1.5 Large don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

371.0B diff

Jamba 1.5 Large has 371.0B more parameters than DeepSeek VL2, making it 1374.1% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
AI21 Labs
Jamba 1.5 Large
398.0Bparameters
27.0B
DeepSeek VL2
398.0B
Jamba 1.5 Large

Context Window

Maximum input and output token capacity

Jamba 1.5 Large accepts 256,000 input tokens compared to DeepSeek VL2's 129,280 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while DeepSeek VL2 is limited to 129,280 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Fri May 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas Jamba 1.5 Large does not.

DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek VL2

Text
Images
Audio
Video

Jamba 1.5 Large

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Jamba 1.5 Large uses Jamba Open Model License.

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

DeepSeek VL2

deepseek

Open weights

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Jamba 1.5 Large was released on 2024-08-22.

DeepSeek VL2 is 4 months newer than Jamba 1.5 Large.

DeepSeek VL2

Dec 13, 2024

1.4 years ago

3mo newer
Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while DeepSeek VL2's cutoff date is not specified.

We can confirm Jamba 1.5 Large's training data extends to 2024-03-05, but cannot make a direct comparison without DeepSeek VL2's cutoff date.

DeepSeek VL2

—

Jamba 1.5 Large

Mar 2024

Provider Availability

DeepSeek VL2 is available from Replicate. Jamba 1.5 Large is available from Bedrock, Google.

DeepSeek VL2

replicate logo
Replicate

Jamba 1.5 Large

bedrock logo
AWS Bedrock
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Supports multimodal inputs
AI21 Labs
Larger context window (256,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
AI21 Labs
Jamba 1.5 Large

FAQ

Common questions about DeepSeek VL2 vs Jamba 1.5 Large.

Which is better, DeepSeek VL2 or Jamba 1.5 Large?

DeepSeek VL2 (DeepSeek) and Jamba 1.5 Large (AI21 Labs) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek VL2 compare to Jamba 1.5 Large in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.

What are the context window sizes for DeepSeek VL2 and Jamba 1.5 Large?

DeepSeek VL2 supports 129K tokens and Jamba 1.5 Large supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek VL2 and Jamba 1.5 Large?

Key differences include context window (129K vs 256K), multimodal support (yes vs no), licensing (deepseek vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and Jamba 1.5 Large?

DeepSeek VL2 is developed by DeepSeek and Jamba 1.5 Large is developed by AI21 Labs.