Model Comparison

Jamba 1.5 Mini vs Qwen2.5-Coder 32B Instruct

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks. Qwen2.5-Coder 32B Instruct is 2.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Jamba 1.5 Mini outperforms in 1 benchmarks (ARC-C), while Qwen2.5-Coder 32B Instruct is better at 4 benchmarks (GSM8k, MMLU, MMLU-Pro, TruthfulQA).

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5-Coder 32B Instruct costs less

For input processing, Jamba 1.5 Mini ($0.20/1M tokens) is 2.2x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

For output processing, Jamba 1.5 Mini ($0.40/1M tokens) is 4.4x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

In conclusion, Jamba 1.5 Mini is more expensive than Qwen2.5-Coder 32B Instruct.*

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

Lowest available price from all providers

Tue May 12 2026 • llm-stats.com

Jamba 1.5 Mini

Input tokens$0.20

Output tokens$0.40

Best providerAWS Bedrock

Qwen2.5-Coder 32B Instruct

Input tokens$0.09

Output tokens$0.09

Best providerLambda

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Model Size

Parameter count comparison

20.0B diff

Jamba 1.5 Mini has 20.0B more parameters than Qwen2.5-Coder 32B Instruct, making it 62.5% larger.

Jamba 1.5 Mini

52.0Bparameters

Qwen2.5-Coder 32B Instruct

32.0Bparameters

52.0B

Jamba 1.5 Mini

32.0B

Qwen2.5-Coder 32B Instruct

Context Window

Maximum input and output token capacity

Jamba 1.5 Mini accepts 256,144 input tokens compared to Qwen2.5-Coder 32B Instruct's 128,000 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while Qwen2.5-Coder 32B Instruct is limited to 128,000 tokens.

Jamba 1.5 Mini

Input256,144 tokens

Output256,144 tokens

Qwen2.5-Coder 32B Instruct

Input128,000 tokens

Output128,000 tokens

Tue May 12 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while Qwen2.5-Coder 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 Mini

Jamba Open Model License

Open weights

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Mini was released on 2024-08-22, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

Qwen2.5-Coder 32B Instruct is 1 month newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.6 years ago

4w newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while Qwen2.5-Coder 32B Instruct'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 Qwen2.5-Coder 32B Instruct's cutoff date.

Jamba 1.5 Mini

Mar 2024

Qwen2.5-Coder 32B Instruct

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Provider Availability

Jamba 1.5 Mini is available from Bedrock, Google. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks.

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

Qwen2.5-Coder 32B Instruct

Lambda

Input Price:Input: $0.09/1MOutput Price:Output: $0.09/1M

Deepinfra

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

Hyperbolic

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

Fireworks

Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Jamba 1.5 Mini

View details

AI21 Labs

Larger context window (256,144 tokens)

Higher ARC-C score (85.7% vs 70.5%)

Qwen2.5-Coder 32B Instruct

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Higher GSM8k score (91.1% vs 75.8%)

Higher MMLU score (75.1% vs 69.7%)

Higher MMLU-Pro score (50.4% vs 42.5%)

Higher TruthfulQA score (54.2% vs 54.1%)

Detailed Comparison

AI Model Comparison Table
Feature	Jamba 1.5 Mini	Qwen2.5-Coder 32B Instruct

FAQ

Common questions about Jamba 1.5 Mini vs Qwen2.5-Coder 32B Instruct.

Which is better, Jamba 1.5 Mini or Qwen2.5-Coder 32B Instruct?

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks. Jamba 1.5 Mini is made by AI21 Labs and Qwen2.5-Coder 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 Mini compare to Qwen2.5-Coder 32B Instruct in benchmarks?

Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%. Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.

Is Jamba 1.5 Mini cheaper than Qwen2.5-Coder 32B Instruct?

Qwen2.5-Coder 32B Instruct is 2.2x cheaper for input tokens. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock. Qwen2.5-Coder 32B Instruct costs $0.09/M input and $0.09/M output via lambda.

What are the context window sizes for Jamba 1.5 Mini and Qwen2.5-Coder 32B Instruct?

Jamba 1.5 Mini supports 256K tokens and Qwen2.5-Coder 32B Instruct supports 128K 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 Qwen2.5-Coder 32B Instruct?

Key differences include context window (256K vs 128K), input pricing ($0.20 vs $0.09/M), 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 Qwen2.5-Coder 32B Instruct?

Jamba 1.5 Mini is developed by AI21 Labs and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.