Model Comparison

Jamba 1.5 Mini vs Qwen2.5-Omni-7BWhich is better in 2026?

Qwen2.5-Omni-7B shows notably better performance in the majority of benchmarks.

Verdict: Jamba 1.5 Mini vs Qwen2.5-Omni-7B — which is better?

Jamba 1.5 Mini (by AI21 Labs) and Qwen2.5-Omni-7B (by Alibaba Cloud / Qwen Team) 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.

Jamba 1.5 Mini outperforms in 1 benchmarks (GPQA), while Qwen2.5-Omni-7B is better at 2 benchmarks (GSM8k, MMLU-Pro). Qwen2.5-Omni-7B shows notably better performance in the majority of benchmarks.

Choose Jamba 1.5 Mini if…

  • you want predictable pricing at $0.20/M input and $0.40/M output

Choose Qwen2.5-Omni-7B if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
  • you want the most recent training data — it shipped Mar 2025

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Jamba 1.5 Mini outperforms in 1 benchmarks (GPQA), while Qwen2.5-Omni-7B is better at 2 benchmarks (GSM8k, MMLU-Pro).

Qwen2.5-Omni-7B shows notably better performance in the majority of benchmarks.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

45.0B diff

Jamba 1.5 Mini has 45.0B more parameters than Qwen2.5-Omni-7B, making it 642.9% larger.

AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
7.0Bparameters
52.0B
Jamba 1.5 Mini
7.0B
Qwen2.5-Omni-7B

Context Window

Maximum input and output token capacity

Only Jamba 1.5 Mini specifies input context (256,144 tokens). Only Jamba 1.5 Mini specifies output context (256,144 tokens).

AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
Input- tokens
Output- tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen2.5-Omni-7B supports multimodal inputs, whereas Jamba 1.5 Mini does not.

Qwen2.5-Omni-7B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Jamba 1.5 Mini

Text
Images
Audio
Video

Qwen2.5-Omni-7B

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while Qwen2.5-Omni-7B uses Apache 2.0.

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

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Qwen2.5-Omni-7B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Mini was released on 2024-08-22, while Qwen2.5-Omni-7B was released on 2025-03-27.

Qwen2.5-Omni-7B is 7 months newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.9 years ago

Qwen2.5-Omni-7B

Mar 27, 2025

1.3 years ago

7mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while Qwen2.5-Omni-7B'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 Qwen2.5-Omni-7B's cutoff date.

Jamba 1.5 Mini

Mar 2024

Qwen2.5-Omni-7B

Outputs Comparison

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Key Takeaways

Larger context window (256,144 tokens)
Higher GPQA score (32.3% vs 30.8%)
Alibaba Cloud / Qwen Team

Qwen2.5-Omni-7B

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Higher GSM8k score (88.7% vs 75.8%)
Higher MMLU-Pro score (47.0% vs 42.5%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Jamba 1.5 Mini and Qwen2.5-Omni-7B side-by-side, then vote on the output you prefer.

Jamba 1.5 Mini
✓ Preferred
Qwen2.5-Omni-7B
Open in Playground
AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Mini
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B

FAQ

Common questions about Jamba 1.5 Mini vs Qwen2.5-Omni-7B.

Which is better, Jamba 1.5 Mini or Qwen2.5-Omni-7B?

Qwen2.5-Omni-7B shows notably better performance in the majority of benchmarks. Jamba 1.5 Mini is made by AI21 Labs and Qwen2.5-Omni-7B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Jamba 1.5 Mini compare to Qwen2.5-Omni-7B in benchmarks?

Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%. Qwen2.5-Omni-7B scores FLEURS: 95.9%, DocVQA: 95.2%, VocalSound: 93.9%, GSM8k: 88.7%, GiantSteps Tempo: 88.0%.

What are the context window sizes for Jamba 1.5 Mini and Qwen2.5-Omni-7B?

Jamba 1.5 Mini supports 256K tokens and Qwen2.5-Omni-7B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Jamba 1.5 Mini and Qwen2.5-Omni-7B?

Key differences include multimodal support (no vs yes), licensing (Jamba Open Model License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Jamba 1.5 Mini and Qwen2.5-Omni-7B?

Jamba 1.5 Mini is developed by AI21 Labs and Qwen2.5-Omni-7B is developed by Alibaba Cloud / Qwen Team.