Model Comparison

Jamba 1.5 Mini vs QwQ-32B-Preview

QwQ-32B-Preview significantly outperforms across most benchmarks. QwQ-32B-Preview is 1.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Jamba 1.5 Mini outperforms in 0 benchmarks, while QwQ-32B-Preview is better at 1 benchmark (GPQA).

QwQ-32B-Preview significantly outperforms across most benchmarks.

Wed Apr 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

QwQ-32B-Preview costs less

For input processing, Jamba 1.5 Mini ($0.20/1M tokens) is 1.3x more expensive than QwQ-32B-Preview ($0.15/1M tokens).

For output processing, Jamba 1.5 Mini ($0.40/1M tokens) is 2.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).

In conclusion, Jamba 1.5 Mini is more expensive than QwQ-32B-Preview.*

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

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input tokens$0.15
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

19.5B diff

Jamba 1.5 Mini has 19.5B more parameters than QwQ-32B-Preview, making it 60.0% larger.

AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
52.0B
Jamba 1.5 Mini
32.5B
QwQ-32B-Preview

Context Window

Maximum input and output token capacity

Jamba 1.5 Mini accepts 256,144 input tokens compared to QwQ-32B-Preview's 32,768 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.

AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Wed Apr 22 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while QwQ-32B-Preview 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

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Mini was released on 2024-08-22, while QwQ-32B-Preview was released on 2024-11-28.

QwQ-32B-Preview is 3 months newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

QwQ-32B-Preview

Nov 28, 2024

1.4 years ago

3mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a knowledge cutoff of 2024-03-05, while QwQ-32B-Preview has a cutoff of 2024-11-28.

QwQ-32B-Preview has more recent training data (up to 2024-11-28), making it potentially better informed about events through that date compared to Jamba 1.5 Mini (2024-03-05).

Jamba 1.5 Mini

Mar 2024

QwQ-32B-Preview

Nov 2024

8 mo newer

Provider Availability

Jamba 1.5 Mini is available from Bedrock, Google. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

Jamba 1.5 Mini

bedrock logo
AWS Bedrock
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
google logo
Google
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M

QwQ-32B-Preview

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

AI21 Labs
Larger context window (256,144 tokens)
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens
Higher GPQA score (65.2% vs 32.3%)

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Mini
Alibaba Cloud / Qwen Team
QwQ-32B-Preview

FAQ

Common questions about Jamba 1.5 Mini vs QwQ-32B-Preview

QwQ-32B-Preview significantly outperforms across most benchmarks. Jamba 1.5 Mini is made by AI21 Labs and QwQ-32B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.
QwQ-32B-Preview is 1.3x cheaper for input tokens. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock. QwQ-32B-Preview costs $0.15/M input and $0.20/M output via deepinfra.
Jamba 1.5 Mini supports 256K tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (256K vs 33K), input pricing ($0.20 vs $0.15/M), licensing (Jamba Open Model License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Jamba 1.5 Mini is developed by AI21 Labs and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.