Model Comparison
Jamba 1.5 Mini vs Qwen2.5-Coder 32B InstructWhich is better in 2026?
Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks. Qwen2.5-Coder 32B Instruct is 2.8x cheaper per token.
Verdict: Jamba 1.5 Mini vs Qwen2.5-Coder 32B Instruct — which is better?
Jamba 1.5 Mini (by AI21 Labs) and Qwen2.5-Coder 32B Instruct (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 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.
On price, Qwen2.5-Coder 32B Instruct is roughly 2.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Jamba 1.5 Mini also accepts a larger context window (256,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose Jamba 1.5 Mini if…
- you process long inputs — it offers a 256,144 token context window
Choose Qwen2.5-Coder 32B Instruct if…
- you want the strongest raw capability — it leads on 4 of 5 shared benchmarks
- cost matters — it's about 2.8x cheaper per token
- you want the most recent training data — it shipped Sep 2024
Performance Benchmarks
Comparative analysis across standard metrics
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.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
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
Model Size
Parameter count comparison
Jamba 1.5 Mini has 20.0B more parameters than Qwen2.5-Coder 32B Instruct, making it 62.5% larger.
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.
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 Open Model License
Open weights
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.
Aug 22, 2024
1.8 years ago
Sep 19, 2024
1.7 years ago
4w newerKnowledge 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.
Mar 2024
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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
Qwen2.5-Coder 32B Instruct
Outputs Comparison
Key Takeaways
Jamba 1.5 Mini
View detailsAI21 Labs
Qwen2.5-Coder 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Jamba 1.5 Mini vs Qwen2.5-Coder 32B Instruct.