Model Comparison

Jamba 1.5 Large vs Qwen3 32B

Qwen3 32B significantly outperforms across most benchmarks. Qwen3 32B is 23.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Jamba 1.5 Large outperforms in 0 benchmarks, while Qwen3 32B is better at 1 benchmark (Arena Hard).

Qwen3 32B significantly outperforms across most benchmarks.

Mon Apr 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 32B costs less

For input processing, Jamba 1.5 Large ($2.00/1M tokens) is 20.0x more expensive than Qwen3 32B ($0.10/1M tokens).

For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 26.7x more expensive than Qwen3 32B ($0.30/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than Qwen3 32B.*

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

Lowest available price from all providers

Mon Apr 13 2026 • llm-stats.com

Jamba 1.5 Large

Input tokens$2.00

Output tokens$8.00

Best providerAWS Bedrock

Qwen3 32B

Input tokens$0.10

Output tokens$0.30

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

365.2B diff

Jamba 1.5 Large has 365.2B more parameters than Qwen3 32B, making it 1113.4% larger.

Jamba 1.5 Large

398.0Bparameters

Qwen3 32B

32.8Bparameters

398.0B

Jamba 1.5 Large

32.8B

Qwen3 32B

Context Window

Maximum input and output token capacity

Jamba 1.5 Large accepts 256,000 input tokens compared to Qwen3 32B's 128,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Qwen3 32B is limited to 128,000 tokens.

Jamba 1.5 Large

Input256,000 tokens

Output256,000 tokens

Qwen3 32B

Input128,000 tokens

Output128,000 tokens

Mon Apr 13 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Qwen3 32B 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 32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while Qwen3 32B was released on 2025-04-29.

Qwen3 32B is 8 months newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

1.6 years ago

Qwen3 32B

Apr 29, 2025

11 months ago

8mo newer

Knowledge Cutoff

When training data ends

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

Jamba 1.5 Large

Mar 2024

Qwen3 32B

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Provider Availability

Jamba 1.5 Large is available from Bedrock, Google. Qwen3 32B is available from DeepInfra, Novita, Sambanova.

Jamba 1.5 Large

AWS Bedrock

Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M

Google

Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M

Qwen3 32B

Deepinfra

Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

Novita

Input Price:Input: $0.10/1MOutput Price:Output: $0.44/1M

Sambanova

Input Price:Input: $0.40/1MOutput Price:Output: $0.80/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Jamba 1.5 Large

View details

AI21 Labs

Larger context window (256,000 tokens)

Qwen3 32B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Higher Arena Hard score (93.8% vs 65.4%)

Detailed Comparison

AI Model Comparison Table
Feature	Jamba 1.5 Large	Qwen3 32B

FAQ

Common questions about Jamba 1.5 Large vs Qwen3 32B

Qwen3 32B significantly outperforms across most benchmarks. Jamba 1.5 Large is made by AI21 Labs and Qwen3 32B 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 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.

Qwen3 32B is 20.0x cheaper for input tokens. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock. Qwen3 32B costs $0.10/M input and $0.30/M output via deepinfra.

Jamba 1.5 Large supports 256K tokens and Qwen3 32B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Key differences include context window (256K vs 128K), input pricing ($2.00 vs $0.10/M), licensing (Jamba Open Model License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

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

Jamba 1.5 Large vs Qwen3 32B

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

License

Release Timeline

Knowledge Cutoff

Provider Availability

Jamba 1.5 Large

Qwen3 32B

Outputs Comparison

Key Takeaways

Jamba 1.5 Large

Qwen3 32B

Detailed Comparison

FAQ

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

How does Jamba 1.5 Large compare to Qwen3 32B in benchmarks?

Is Jamba 1.5 Large cheaper than Qwen3 32B?

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

What are the main differences between Jamba 1.5 Large and Qwen3 32B?

Who makes Jamba 1.5 Large and Qwen3 32B?