Jamba 1.5 Mini vs Qwen3-Coder 480B A35B Instruct
Qwen3-Coder 480B A35B Instruct leads the LLM Stats Score 21.1 to -5.7. Jamba 1.5 Mini is 1.9x cheaper per token.
AI21 Labs · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3-Coder 480B A35B Instruct leads the overall LLM Stats Score 21.1 to -5.7, ranking #188 overall.
On price, Jamba 1.5 Mini is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3-Coder 480B A35B Instruct also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Jamba 1.5 Mini
- cost matters — it's about 1.9x cheaper per token
Choose Qwen3-Coder 480B A35B Instruct
- overall performance matters — it scores 21.1 and ranks #188 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Jan 2025
At a glance
The differences that matter most.
Individual benchmarks
8 reported for Jamba 1.5 Mini · 10 for Qwen3-Coder 480B A35B Instruct
Jamba 1.5 Mini and Qwen3-Coder 480B A35B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Jamba 1.5 Mini ($0.20/1M tokens) is 1.5x cheaper than Qwen3-Coder 480B A35B Instruct ($0.30/1M tokens).
For output processing, Jamba 1.5 Mini ($0.40/1M tokens) is 2.5x cheaper than Qwen3-Coder 480B A35B Instruct ($1.00/1M tokens).
In conclusion, Qwen3-Coder 480B A35B Instruct is more expensive than Jamba 1.5 Mini.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3-Coder 480B A35B Instruct has 428.0B more parameters than Jamba 1.5 Mini, making it 823.1% larger.
Context Window
Maximum input and output token capacity
Qwen3-Coder 480B A35B Instruct accepts 262,144 input tokens compared to Jamba 1.5 Mini's 256,144 tokens. Qwen3-Coder 480B A35B Instruct can generate longer responses up to 262,144 tokens, while Jamba 1.5 Mini is limited to 256,144 tokens.
License
Usage and distribution terms
Jamba 1.5 Mini is licensed under Jamba Open Model License, while Qwen3-Coder 480B A35B 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 Qwen3-Coder 480B A35B Instruct was released on 2025-01-31.
Qwen3-Coder 480B A35B Instruct is 5 months newer than Jamba 1.5 Mini.
Aug 22, 2024
2.1 years ago
Jan 31, 2025
1.6 years ago
5mo newerKnowledge Cutoff
When training data ends
Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while Qwen3-Coder 480B A35B 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 Qwen3-Coder 480B A35B Instruct's cutoff date.
Mar 2024
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Provider Availability
Jamba 1.5 Mini is available from Bedrock, Google. Qwen3-Coder 480B A35B Instruct is available from DeepInfra.
Jamba 1.5 Mini
Qwen3-Coder 480B A35B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Jamba 1.5 Mini and Qwen3-Coder 480B A35B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Jamba 1.5 Mini vs Qwen3-Coder 480B A35B Instruct.
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