Jamba 1.5 Mini vs Qwen2.5 7B Instruct
Qwen2.5 7B Instruct leads the LLM Stats Score 2.5 to -5.7. Jamba 1.5 Mini is 1.2x cheaper per token.
AI21 Labs · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2.5 7B Instruct leads the overall LLM Stats Score 2.5 to -5.7, ranking #319 overall.
In the 4 individual benchmarks reported for both models, Qwen2.5 7B Instruct wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, Jamba 1.5 Mini is roughly 1.2x 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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Jamba 1.5 Mini
- cost matters — it's about 1.2x cheaper per token
- you process long inputs — it offers a 256,144 token context window
Choose Qwen2.5 7B Instruct
- overall performance matters — it scores 2.5 and ranks #319 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- you want the most recent training data — it shipped Sep 2024
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
8 reported for Jamba 1.5 Mini · 14 for Qwen2.5 7B Instruct
Jamba 1.5 Mini outperforms in 0 benchmarks, while Qwen2.5 7B Instruct is better at 4 benchmarks (Arena Hard, GPQA, GSM8k, MMLU-Pro).
Qwen2.5 7B Instruct significantly outperforms across most benchmarks.
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 Qwen2.5 7B Instruct ($0.30/1M tokens).
For output processing, Jamba 1.5 Mini ($0.40/1M tokens) is 1.3x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).
In conclusion, Qwen2.5 7B Instruct is more expensive than Jamba 1.5 Mini.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Jamba 1.5 Mini has 44.4B more parameters than Qwen2.5 7B Instruct, making it 583.3% larger.
Context Window
Maximum input and output token capacity
Jamba 1.5 Mini accepts 256,144 input tokens compared to Qwen2.5 7B Instruct's 131,072 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while Qwen2.5 7B Instruct is limited to 8,192 tokens.
License
Usage and distribution terms
Jamba 1.5 Mini is licensed under Jamba Open Model License, while Qwen2.5 7B 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 7B Instruct was released on 2024-09-19.
Qwen2.5 7B Instruct is 1 month newer than Jamba 1.5 Mini.
Aug 22, 2024
2.1 years ago
Sep 19, 2024
2.0 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 7B 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 7B Instruct's cutoff date.
Mar 2024
—
Provider Availability
Jamba 1.5 Mini is available from Bedrock, Google. Qwen2.5 7B Instruct is available from Together.
Jamba 1.5 Mini
Qwen2.5 7B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Jamba 1.5 Mini and Qwen2.5 7B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Jamba 1.5 Mini vs Qwen2.5 7B Instruct.