DeepSeek-V4-Flash-Vision-Exp vs Jamba 1.5 Mini
Comparing DeepSeek-V4-Flash-Vision-Exp and Jamba 1.5 Mini across benchmarks, pricing, and capabilities.
DeepSeek · AI21 Labs · Updated for 2026
Which is better?
DeepSeek-V4-Flash-Vision-Exp and Jamba 1.5 Mini trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Jamba 1.5 Mini is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-Vision-Exp also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Flash-Vision-Exp
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Jamba 1.5 Mini
- cost matters — it's about 1.3x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-Vision-Exp and Jamba 1.5 Minidon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-Vision-Exp ($0.22/1M tokens) is 1.1x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).
For output processing, DeepSeek-V4-Flash-Vision-Exp ($0.66/1M tokens) is 1.6x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).
In conclusion, DeepSeek-V4-Flash-Vision-Exp is more expensive than Jamba 1.5 Mini.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-Vision-Exp accepts 1,048,576 input tokens compared to Jamba 1.5 Mini's 256,144 tokens. DeepSeek-V4-Flash-Vision-Exp can generate longer responses up to 393,216 tokens, while Jamba 1.5 Mini is limited to 256,144 tokens.
Input Capabilities
Supported data types and modalities
DeepSeek-V4-Flash-Vision-Exp supports multimodal inputs, whereas Jamba 1.5 Mini does not.
DeepSeek-V4-Flash-Vision-Exp can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-Vision-Exp
Jamba 1.5 Mini
Release Timeline
When each model was launched
DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while Jamba 1.5 Mini was released on 2024-08-22.
DeepSeek-V4-Flash-Vision-Exp is 24 months newer than Jamba 1.5 Mini.
Aug 21, 2026
3 days ago
2.0yr newerAug 22, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while DeepSeek-V4-Flash-Vision-Exp'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 DeepSeek-V4-Flash-Vision-Exp's cutoff date.
—
Mar 2024
Provider Availability
DeepSeek-V4-Flash-Vision-Exp is available from DeepSeek. Jamba 1.5 Mini is available from Bedrock, Google.
DeepSeek-V4-Flash-Vision-Exp
Jamba 1.5 Mini
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and Jamba 1.5 Mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Vision-Exp vs Jamba 1.5 Mini.