Model Comparison

Jamba 1.5 Large vs Qwen3 VL 32B InstructWhich is better in 2026?

Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.

Verdict: Jamba 1.5 Large vs Qwen3 VL 32B Instruct — which is better?

Jamba 1.5 Large (by AI21 Labs) and Qwen3 VL 32B Instruct (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 Large outperforms in 0 benchmarks, while Qwen3 VL 32B Instruct is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro). Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.

Choose Jamba 1.5 Large if…

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

Choose Qwen3 VL 32B Instruct if…

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

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Jamba 1.5 Large outperforms in 0 benchmarks, while Qwen3 VL 32B Instruct is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro).

Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.

Sun Jul 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

365.0B diff

Jamba 1.5 Large has 365.0B more parameters than Qwen3 VL 32B Instruct, making it 1106.1% larger.

AI21 Labs
Jamba 1.5 Large
398.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
33.0Bparameters
398.0B
Jamba 1.5 Large
33.0B
Qwen3 VL 32B Instruct

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).

AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Sun Jul 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 32B Instruct supports multimodal inputs, whereas Jamba 1.5 Large does not.

Qwen3 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Jamba 1.5 Large

Text
Images
Audio
Video

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Qwen3 VL 32B Instruct uses Apache 2.0.

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

Jamba 1.5 Large

Jamba Open Model License

Open weights

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while Qwen3 VL 32B Instruct was released on 2025-09-22.

Qwen3 VL 32B Instruct is 13 months newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

1.9 years ago

Qwen3 VL 32B Instruct

Sep 22, 2025

10 months ago

1.1yr newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Qwen3 VL 32B Instruct'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 Qwen3 VL 32B Instruct's cutoff date.

Jamba 1.5 Large

Mar 2024

Qwen3 VL 32B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (256,000 tokens)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Higher GPQA score (68.9% vs 36.9%)
Higher MMLU score (86.4% vs 81.2%)
Higher MMLU-Pro score (78.6% vs 53.5%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Jamba 1.5 Large and Qwen3 VL 32B Instruct side-by-side, then vote on the output you prefer.

Jamba 1.5 Large
✓ Preferred
Qwen3 VL 32B Instruct
Open in Playground
AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Large
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct

FAQ

Common questions about Jamba 1.5 Large vs Qwen3 VL 32B Instruct.

Which is better, Jamba 1.5 Large or Qwen3 VL 32B Instruct?

Qwen3 VL 32B Instruct significantly outperforms across most benchmarks. Jamba 1.5 Large is made by AI21 Labs and Qwen3 VL 32B Instruct 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 Large compare to Qwen3 VL 32B Instruct in benchmarks?

Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. Qwen3 VL 32B Instruct scores DocVQAtest: 96.9%, ScreenSpot: 95.8%, CharXiv-D: 90.5%, MMLU-Redux: 89.8%, AI2D: 89.5%.

What are the context window sizes for Jamba 1.5 Large and Qwen3 VL 32B Instruct?

Jamba 1.5 Large supports 256K tokens and Qwen3 VL 32B Instruct 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 Large and Qwen3 VL 32B Instruct?

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 Large and Qwen3 VL 32B Instruct?

Jamba 1.5 Large is developed by AI21 Labs and Qwen3 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.