Model Comparison

DeepSeek R1 Zero vs Jamba 1.5 LargeWhich is better in 2026?

DeepSeek R1 Zero significantly outperforms across most benchmarks.

Verdict: DeepSeek R1 Zero vs Jamba 1.5 Large — which is better?

DeepSeek R1 Zero (by DeepSeek) and Jamba 1.5 Large (by AI21 Labs) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek R1 Zero outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Large is better at 0 benchmarks. DeepSeek R1 Zero significantly outperforms across most benchmarks.

Choose DeepSeek R1 Zero if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Jan 2025

Choose Jamba 1.5 Large if…

  • you want predictable pricing at $2.00/M input and $8.00/M output
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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Zero outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Large is better at 0 benchmarks.

DeepSeek R1 Zero significantly outperforms across most benchmarks.

Wed Jun 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

273.0B diff

DeepSeek R1 Zero has 273.0B more parameters than Jamba 1.5 Large, making it 68.6% larger.

DeepSeek
DeepSeek R1 Zero
671.0Bparameters
AI21 Labs
Jamba 1.5 Large
398.0Bparameters
671.0B
DeepSeek R1 Zero
398.0B
Jamba 1.5 Large

Context Window

Maximum input and output token capacity

Only Jamba 1.5 Large specifies input context (256,000 tokens). Only Jamba 1.5 Large specifies output context (256,000 tokens).

DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Wed Jun 24 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Zero is licensed under MIT, 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 R1 Zero

MIT

Open weights

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Zero was released on 2025-01-20, while Jamba 1.5 Large was released on 2024-08-22.

DeepSeek R1 Zero is 5 months newer than Jamba 1.5 Large.

DeepSeek R1 Zero

Jan 20, 2025

1.4 years ago

5mo newer
Jamba 1.5 Large

Aug 22, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while DeepSeek R1 Zero'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 R1 Zero's cutoff date.

DeepSeek R1 Zero

—

Jamba 1.5 Large

Mar 2024

Outputs Comparison

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Key Takeaways

DeepSeek
Higher GPQA score (73.3% vs 36.9%)
AI21 Labs
Larger context window (256,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Zero
AI21 Labs
Jamba 1.5 Large

FAQ

Common questions about DeepSeek R1 Zero vs Jamba 1.5 Large.

Which is better, DeepSeek R1 Zero or Jamba 1.5 Large?

DeepSeek R1 Zero significantly outperforms across most benchmarks. DeepSeek R1 Zero is made by DeepSeek and Jamba 1.5 Large is made by AI21 Labs. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Zero compare to Jamba 1.5 Large in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. 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 R1 Zero and Jamba 1.5 Large?

DeepSeek R1 Zero supports an unknown number of 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 R1 Zero and Jamba 1.5 Large?

Key differences include licensing (MIT vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Zero and Jamba 1.5 Large?

DeepSeek R1 Zero is developed by DeepSeek and Jamba 1.5 Large is developed by AI21 Labs.

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