DeepSeek-V4-Flash-0423 vs Qwen3 VL 4B Instruct: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V4-Flash-0423 | Qwen3 VL 4B Instruct |
|---|---|---|
| Company | DeepSeek | Alibaba |
| Release Date | April 23, 2026 | September 22, 2025 |
| Parameters | 284B | 4B |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 262K |
| Context (output) | 131K | 262K |
| Input Price / 1M | $0.14 | $0.10 |
| Output Price / 1M | $0.28 | $0.60 |
| Average Score | 0.9 | 0.9 |
Verdict
DeepSeek-V4-Flash-0423 leads in 3 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V4-Flash-0423 — 0.9, Qwen3 VL 4B Instruct — 0.9.
API Cost
DeepSeek-V4-Flash-0423 is 1.7x cheaper: input $0.14/1M vs $0.10/1M tokens.
Context Window
DeepSeek-V4-Flash-0423 supports a larger context: 1M vs 262K tokens.
Recency
DeepSeek-V4-Flash-0423 is newer: released 4/23/2026 vs 9/22/2025.
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Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Flash-0423 or Qwen3 VL 4B Instruct?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V4-Flash-0423 or Qwen3 VL 4B Instruct?
Qwen3 VL 4B Instruct is cheaper for input: $0.10 per 1M tokens vs $0.14.
Which has a larger context window — DeepSeek-V4-Flash-0423 or Qwen3 VL 4B Instruct?
DeepSeek-V4-Flash-0423 supports a larger context: 1,000,000 tokens vs 262,144.
The DeepSeek-V4-Flash-0423 and Qwen3 VL 4B Instruct comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V4-Flash-0423 or Qwen3 VL 4B Instruct page. See also the complete list of AI model comparisons.