Jamba 1.5 Large vs Qwen3 VL 4B Thinking
Qwen3 VL 4B Thinking leads the LLM Stats Score 12.9 to 0.9. Qwen3 VL 4B Thinking is 10.8x cheaper per token.
AI21 Labs · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3 VL 4B Thinking leads the overall LLM Stats Score 12.9 to 0.9, ranking #248 overall.
In the 3 individual benchmarks reported for both models, Qwen3 VL 4B Thinking wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3 VL 4B Thinking is roughly 10.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3 VL 4B Thinking 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 Large
- you want predictable pricing at $2.00/M input and $8.00/M output
Choose Qwen3 VL 4B Thinking
- overall performance matters — it scores 12.9 and ranks #248 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- cost matters — it's about 10.8x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Sep 2025
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 · 48 for Qwen3 VL 4B Thinking
Jamba 1.5 Large outperforms in 0 benchmarks, while Qwen3 VL 4B Thinking is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro).
Qwen3 VL 4B Thinking 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 20.0x more expensive than Qwen3 VL 4B Thinking ($0.10/1M tokens).
For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 8.0x more expensive than Qwen3 VL 4B Thinking ($1.00/1M tokens).
In conclusion, Jamba 1.5 Large is more expensive than Qwen3 VL 4B Thinking.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Jamba 1.5 Large has 394.0B more parameters than Qwen3 VL 4B Thinking, making it 9850.0% larger.
Context Window
Maximum input and output token capacity
Qwen3 VL 4B Thinking accepts 262,144 input tokens compared to Jamba 1.5 Large's 256,000 tokens. Qwen3 VL 4B Thinking can generate longer responses up to 262,144 tokens, while Jamba 1.5 Large is limited to 256,000 tokens.
Input capabilities
Documented input modalities across available providers
Qwen3 VL 4B Thinking supports multimodal inputs, whereas Jamba 1.5 Large does not.
Qwen3 VL 4B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
Jamba 1.5 Large
Qwen3 VL 4B Thinking
License
Usage and distribution terms
Jamba 1.5 Large is licensed under Jamba Open Model License, while Qwen3 VL 4B Thinking 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 Large was released on 2024-08-22, while Qwen3 VL 4B Thinking was released on 2025-09-22.
Qwen3 VL 4B Thinking is 13 months newer than Jamba 1.5 Large.
Aug 22, 2024
2.1 years ago
Sep 22, 2025
11 months ago
1.1yr newerKnowledge Cutoff
When training data ends
Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Qwen3 VL 4B Thinking'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 Qwen3 VL 4B Thinking's cutoff date.
Mar 2024
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Provider Availability
Jamba 1.5 Large is available from Bedrock, Google. Qwen3 VL 4B Thinking is available from DeepInfra.
Jamba 1.5 Large
Qwen3 VL 4B Thinking
Outputs Comparison
Judge for yourself.
Run your own prompts against Jamba 1.5 Large and Qwen3 VL 4B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about Jamba 1.5 Large vs Qwen3 VL 4B Thinking.