Model Comparison

Jamba 1.5 Mini vs Qwen3 VL 8B Thinking

Qwen3 VL 8B Thinking significantly outperforms across most benchmarks. Jamba 1.5 Mini is 2.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Jamba 1.5 Mini outperforms in 0 benchmarks, while Qwen3 VL 8B Thinking is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro).

Qwen3 VL 8B Thinking significantly outperforms across most benchmarks.

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Jamba 1.5 Mini costs less

For input processing, Jamba 1.5 Mini ($0.20/1M tokens) is 1.1x more expensive than Qwen3 VL 8B Thinking ($0.18/1M tokens).

For output processing, Jamba 1.5 Mini ($0.40/1M tokens) is 5.2x cheaper than Qwen3 VL 8B Thinking ($2.09/1M tokens).

In conclusion, Qwen3 VL 8B Thinking is more expensive than Jamba 1.5 Mini.*

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

Lowest available price from all providers

Thu May 14 2026 • llm-stats.com

Jamba 1.5 Mini

Input tokens$0.20

Output tokens$0.40

Best providerAWS Bedrock

Qwen3 VL 8B Thinking

Input tokens$0.18

Output tokens$2.09

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

43.0B diff

Jamba 1.5 Mini has 43.0B more parameters than Qwen3 VL 8B Thinking, making it 477.8% larger.

Jamba 1.5 Mini

52.0Bparameters

Qwen3 VL 8B Thinking

9.0Bparameters

52.0B

Jamba 1.5 Mini

9.0B

Qwen3 VL 8B Thinking

Context Window

Maximum input and output token capacity

Qwen3 VL 8B Thinking accepts 262,144 input tokens compared to Jamba 1.5 Mini's 256,144 tokens. Qwen3 VL 8B Thinking can generate longer responses up to 262,144 tokens, while Jamba 1.5 Mini is limited to 256,144 tokens.

Jamba 1.5 Mini

Input256,144 tokens

Output256,144 tokens

Qwen3 VL 8B Thinking

Input262,144 tokens

Output262,144 tokens

Thu May 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 8B Thinking supports multimodal inputs, whereas Jamba 1.5 Mini does not.

Qwen3 VL 8B Thinking 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

Qwen3 VL 8B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while Qwen3 VL 8B Thinking 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

Qwen3 VL 8B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Mini was released on 2024-08-22, while Qwen3 VL 8B Thinking was released on 2025-09-22.

Qwen3 VL 8B Thinking is 13 months newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

Qwen3 VL 8B Thinking

Sep 22, 2025

7 months ago

1.1yr newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while Qwen3 VL 8B Thinking'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 Qwen3 VL 8B Thinking's cutoff date.

Jamba 1.5 Mini

Mar 2024

Qwen3 VL 8B Thinking

—

Provider Availability

Jamba 1.5 Mini is available from Bedrock, Google. Qwen3 VL 8B Thinking is available from DeepInfra.

Jamba 1.5 Mini

AWS Bedrock

Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M

Google

Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M

Qwen3 VL 8B Thinking

Deepinfra

Input Price:Input: $0.18/1MOutput Price:Output: $2.09/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Jamba 1.5 Mini

View details

AI21 Labs

Less expensive output tokens

Qwen3 VL 8B Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Supports multimodal inputs

Less expensive input tokens

Higher GPQA score (69.9% vs 32.3%)

Higher MMLU score (85.2% vs 69.7%)

Higher MMLU-Pro score (77.3% vs 42.5%)

Detailed Comparison

AI Model Comparison Table
Feature	Jamba 1.5 Mini	Qwen3 VL 8B Thinking

FAQ

Common questions about Jamba 1.5 Mini vs Qwen3 VL 8B Thinking.

Which is better, Jamba 1.5 Mini or Qwen3 VL 8B Thinking?

Qwen3 VL 8B Thinking significantly outperforms across most benchmarks. Jamba 1.5 Mini is made by AI21 Labs and Qwen3 VL 8B 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 Mini compare to Qwen3 VL 8B Thinking in benchmarks?

Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%. Qwen3 VL 8B Thinking scores DocVQAtest: 95.3%, ScreenSpot: 93.6%, MMLU-Redux: 88.8%, MMBench-V1.1: 87.5%, InfoVQAtest: 86.0%.

Is Jamba 1.5 Mini cheaper than Qwen3 VL 8B Thinking?

Qwen3 VL 8B Thinking is 1.1x cheaper for input tokens. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock. Qwen3 VL 8B Thinking costs $0.18/M input and $2.09/M output via deepinfra.

What are the context window sizes for Jamba 1.5 Mini and Qwen3 VL 8B Thinking?

Jamba 1.5 Mini supports 256K tokens and Qwen3 VL 8B Thinking supports 262K 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 Qwen3 VL 8B Thinking?

Key differences include context window (256K vs 262K), input pricing ($0.20 vs $0.18/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 Mini and Qwen3 VL 8B Thinking?

Jamba 1.5 Mini is developed by AI21 Labs and Qwen3 VL 8B Thinking is developed by Alibaba Cloud / Qwen Team.