Model Comparison

Jamba 1.5 Large vs Qwen3 VL 30B A3B ThinkingWhich is better in 2026?

Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks. Qwen3 VL 30B A3B Thinking is 8.8x cheaper per token.

Verdict: Jamba 1.5 Large vs Qwen3 VL 30B A3B Thinking — which is better?

Jamba 1.5 Large (by AI21 Labs) and Qwen3 VL 30B A3B Thinking (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 30B A3B Thinking is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro). Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.

On price, Qwen3 VL 30B A3B Thinking is roughly 8.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Jamba 1.5 Large also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Jamba 1.5 Large if…

  • you process long inputs — it offers a 256,000 token context window

Choose Qwen3 VL 30B A3B Thinking if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • cost matters — it's about 8.8x cheaper per token
  • 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 30B A3B Thinking is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro).

Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.

Thu Jun 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 30B A3B Thinking costs less

For input processing, Jamba 1.5 Large ($2.00/1M tokens) is 10.0x more expensive than Qwen3 VL 30B A3B Thinking ($0.20/1M tokens).

For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 8.1x more expensive than Qwen3 VL 30B A3B Thinking ($0.99/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than Qwen3 VL 30B A3B Thinking.*

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

Lowest available price from all providers
Thu Jun 25 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input tokens$0.20
Output tokens$0.99
Best providerNovita
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Model Size

Parameter count comparison

367.0B diff

Jamba 1.5 Large has 367.0B more parameters than Qwen3 VL 30B A3B Thinking, making it 1183.9% larger.

AI21 Labs
Jamba 1.5 Large
398.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
31.0Bparameters
398.0B
Jamba 1.5 Large
31.0B
Qwen3 VL 30B A3B Thinking

Context Window

Maximum input and output token capacity

Jamba 1.5 Large accepts 256,000 input tokens compared to Qwen3 VL 30B A3B Thinking's 131,072 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Qwen3 VL 30B A3B Thinking is limited to 32,768 tokens.

AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input131,072 tokens
Output32,768 tokens
Thu Jun 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 30B A3B Thinking supports multimodal inputs, whereas Jamba 1.5 Large does not.

Qwen3 VL 30B A3B Thinking 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 30B A3B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Qwen3 VL 30B A3B Thinking 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 30B A3B Thinking

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 30B A3B Thinking was released on 2025-09-22.

Qwen3 VL 30B A3B Thinking is 13 months newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

1.8 years ago

Qwen3 VL 30B A3B Thinking

Sep 22, 2025

9 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 30B A3B Thinking'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 30B A3B Thinking's cutoff date.

Jamba 1.5 Large

Mar 2024

Qwen3 VL 30B A3B Thinking

Provider Availability

Jamba 1.5 Large is available from Bedrock, Google. Qwen3 VL 30B A3B Thinking is available from Novita, DeepInfra.

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

Qwen3 VL 30B A3B Thinking

novita logo
Novita
Input Price:Input: $0.20/1MOutput Price:Output: $1.00/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.29/1MOutput Price:Output: $0.99/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

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

Qwen3 VL 30B A3B Thinking

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (74.4% vs 36.9%)
Higher MMLU score (87.6% vs 81.2%)
Higher MMLU-Pro score (80.5% vs 53.5%)

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Large
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking

FAQ

Common questions about Jamba 1.5 Large vs Qwen3 VL 30B A3B Thinking.

Which is better, Jamba 1.5 Large or Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks. Jamba 1.5 Large is made by AI21 Labs and Qwen3 VL 30B A3B Thinking 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 30B A3B Thinking 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 30B A3B Thinking scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, MMLU-Redux: 90.9%, MMBench-V1.1: 88.9%, MMLU: 87.6%.

Is Jamba 1.5 Large cheaper than Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking is 10.0x cheaper for input tokens. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock. Qwen3 VL 30B A3B Thinking costs $0.20/M input and $0.99/M output via novita.

What are the context window sizes for Jamba 1.5 Large and Qwen3 VL 30B A3B Thinking?

Jamba 1.5 Large supports 256K tokens and Qwen3 VL 30B A3B Thinking supports 131K 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 30B A3B Thinking?

Key differences include context window (256K vs 131K), input pricing ($2.00 vs $0.20/M), 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 30B A3B Thinking?

Jamba 1.5 Large is developed by AI21 Labs and Qwen3 VL 30B A3B Thinking is developed by Alibaba Cloud / Qwen Team.