Jamba 1.5 Large vs Qwen2.5 72B Instruct
Qwen2.5 72B Instruct leads the LLM Stats Score 12.1 to 0.9. Qwen2.5 72B Instruct is 9.7x cheaper per token.
AI21 Labs · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2.5 72B Instruct leads the overall LLM Stats Score 12.1 to 0.9, ranking #259 overall.
In the 4 individual benchmarks reported for both models, Qwen2.5 72B Instruct wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen2.5 72B Instruct is roughly 9.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Jamba 1.5 Large also accepts a larger context window (256,000 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 Large
- you process long inputs — it offers a 256,000 token context window
Choose Qwen2.5 72B Instruct
- overall performance matters — it scores 12.1 and ranks #259 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
- cost matters — it's about 9.7x cheaper per token
- 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 Large · 14 for Qwen2.5 72B Instruct
Jamba 1.5 Large outperforms in 0 benchmarks, while Qwen2.5 72B Instruct is better at 4 benchmarks (Arena Hard, GPQA, GSM8k, MMLU-Pro).
Qwen2.5 72B 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 Large ($2.00/1M tokens) is 5.7x more expensive than Qwen2.5 72B Instruct ($0.35/1M tokens).
For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 20.0x more expensive than Qwen2.5 72B Instruct ($0.40/1M tokens).
In conclusion, Jamba 1.5 Large is more expensive than Qwen2.5 72B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Jamba 1.5 Large has 325.3B more parameters than Qwen2.5 72B Instruct, making it 447.5% larger.
Context Window
Maximum input and output token capacity
Jamba 1.5 Large accepts 256,000 input tokens compared to Qwen2.5 72B Instruct's 131,072 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Qwen2.5 72B Instruct is limited to 8,192 tokens.
License
Usage and distribution terms
Jamba 1.5 Large is licensed under Jamba Open Model License, while Qwen2.5 72B Instruct uses Qwen.
License differences may affect how you can use these models in commercial or open-source projects.
Jamba Open Model License
Open weights
Qwen
Open weights
Release Timeline
When each model was launched
Jamba 1.5 Large was released on 2024-08-22, while Qwen2.5 72B Instruct was released on 2024-09-19.
Qwen2.5 72B Instruct is 1 month newer than Jamba 1.5 Large.
Aug 22, 2024
2.1 years ago
Sep 19, 2024
2.0 years ago
4w newerKnowledge Cutoff
When training data ends
Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Qwen2.5 72B Instruct'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 Qwen2.5 72B Instruct's cutoff date.
Mar 2024
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Provider Availability
Jamba 1.5 Large is available from Bedrock, Google. Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together.
Jamba 1.5 Large
Qwen2.5 72B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Jamba 1.5 Large and Qwen2.5 72B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Jamba 1.5 Large vs Qwen2.5 72B Instruct.