DeepSeek-V4-Flash-Vision-Exp vs Qwen3-235B-A22B-Instruct-2507
Comparing DeepSeek-V4-Flash-Vision-Exp and Qwen3-235B-A22B-Instruct-2507 across benchmarks, pricing, and capabilities.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
DeepSeek-V4-Flash-Vision-Exp and Qwen3-235B-A22B-Instruct-2507 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Qwen3-235B-A22B-Instruct-2507 is roughly 1.1x 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 Qwen3-235B-A22B-Instruct-2507
- cost matters — it's about 1.1x 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 Qwen3-235B-A22B-Instruct-2507don'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 1.5x more expensive than Qwen3-235B-A22B-Instruct-2507 ($0.15/1M tokens).
For output processing, DeepSeek-V4-Flash-Vision-Exp ($0.66/1M tokens) is 1.2x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.80/1M tokens).
In conclusion, DeepSeek-V4-Flash-Vision-Exp is more expensive than Qwen3-235B-A22B-Instruct-2507.*
* 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 Qwen3-235B-A22B-Instruct-2507's 262,144 tokens. DeepSeek-V4-Flash-Vision-Exp can generate longer responses up to 393,216 tokens, while Qwen3-235B-A22B-Instruct-2507 is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
DeepSeek-V4-Flash-Vision-Exp supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 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
Qwen3-235B-A22B-Instruct-2507
Release Timeline
When each model was launched
DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.
DeepSeek-V4-Flash-Vision-Exp is 13 months newer than Qwen3-235B-A22B-Instruct-2507.
Aug 21, 2026
3 days ago
1.1yr newerJul 22, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Flash-Vision-Exp is available from DeepSeek. Qwen3-235B-A22B-Instruct-2507 is available from Fireworks, Novita.
DeepSeek-V4-Flash-Vision-Exp
Qwen3-235B-A22B-Instruct-2507
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Vision-Exp vs Qwen3-235B-A22B-Instruct-2507.