AI model comparison
DeepSeek V4 Flash Vision Exp vs DeepSeek V4 Pro 0423
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
DeepSeek
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash 0731](https://openrouter.ai/deepseek/deepseek-v4-flash-0731) from DeepSeek, adding image understanding while matching the base model on text capabilities including agents,
- Input / 1M
- $0.22
- Output / 1M
- $0.65
- Context
- 1.05M
DeepSeek
DeepSeek V4 Pro 0423
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window.
- Input / 1M
- $0.21
- Output / 1M
- $0.42
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
DeepSeek V4 Pro 0423
1.2x cheaper for a typical chat
Higher intelligence score
DeepSeek V4 Flash Vision Exp
34.8 vs 30.4 on Artificial Analysis
Larger context window
Tie
1.05M vs 1.05M tokens
Newer release
DeepSeek V4 Flash Vision Exp
Released August 21, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
DeepSeek V4 Flash Vision Exp34.8DeepSeek V4 Pro 042330.4Coding index
DeepSeek V4 Flash Vision Exp65DeepSeek V4 Pro 042359.4Agentic index
DeepSeek V4 Flash Vision Exp47.5DeepSeek V4 Pro 042326.3Pricing
DeepSeek V4 Flash Vision Exp vs DeepSeek V4 Pro 0423 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | DeepSeek V4 Flash Vision Exp | DeepSeek V4 Pro 0423 |
|---|---|---|
| Input tokensPer 1M tokens | $0.22 | $0.21 |
| Output tokensPer 1M tokens | $0.65 | $0.42 |
| Cached input (read)Per 1M tokens | $0.01 | $0.02 |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
DeepSeek V4 Flash Vision Exp$0.75DeepSeek V4 Pro 0423$0.63Coding task
30K in, 4K out
DeepSeek V4 Flash Vision Exp$9.06$2.79 cachedDeepSeek V4 Pro 0423$7.93$2.19 cachedLong document summary
150K in, 2K out
DeepSeek V4 Flash Vision Exp$33.63$2.32 cachedDeepSeek V4 Pro 0423$32.16$3.45 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | DeepSeek V4 Flash Vision Exp | DeepSeek V4 Pro 0423 |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 262K tokens | 384K tokens |
| Input types | Image, Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, High, Low | Extra high, High |
| Default reasoning effort | High | High |
| Release date | August 21, 2026 | April 24, 2026 |
Features
Supported features
API features available for each model.
| Metric | DeepSeek V4 Flash Vision Exp | DeepSeek V4 Pro 0423 |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
DeepSeek V4 Flash Vision ExpView full model details- DeepSeek V4 Flash Vision Exp vs GLM 5.3 Flash
- DeepSeek V4 Flash Vision Exp vs DeepSeek V4.1 Flash
- DeepSeek V4 Flash Vision Exp vs GPT-6 Luna
- DeepSeek V4 Flash Vision Exp vs MiMo-V2.6-Flash
- DeepSeek V4 Flash Vision Exp vs GPT-5.6 Luna
- DeepSeek V4 Flash Vision Exp vs DeepSeek V4 Pro 0813
- DeepSeek V4 Flash Vision Exp vs DeepSeek V4 Flash 0731
- DeepSeek V4 Flash Vision Exp vs Qwen3.8 27B
- DeepSeek V4 Flash Vision Exp vs MiniMax M3
DeepSeek V4 Pro 0423View full model details- DeepSeek V4 Pro 0423 vs DeepSeek V4.1 Flash
- DeepSeek V4 Pro 0423 vs MiMo-V2.6-Flash
- DeepSeek V4 Pro 0423 vs GPT-6 Luna
- DeepSeek V4 Pro 0423 vs DeepSeek V4 Flash 0731
- DeepSeek V4 Pro 0423 vs DeepSeek V4 Flash 0423
- DeepSeek V4 Pro 0423 vs Hy3
- DeepSeek V4 Pro 0423 vs MiniMax M3
- DeepSeek V4 Pro 0423 vs Solar Mini 4
- DeepSeek V4 Pro 0423 vs MiMo-V2.5
- DeepSeek V4 Pro 0423 vs Solar Pro 4
- DeepSeek V4 Pro 0423 vs Qwen3.8 Flash
- DeepSeek V4 Pro 0423 vs DeepSeek V3.2
- DeepSeek V4 Pro 0423 vs Ling 3.0 Flash VL
Our take
DeepSeek V4 Pro 0423 is 1.2x cheaper for a typical chat. DeepSeek V4 Flash Vision Exp scores higher on the Artificial Analysis Intelligence Index (34.8 vs 30.4). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is DeepSeek V4 Flash Vision Exp or DeepSeek V4 Pro 0423 cheaper?
DeepSeek V4 Pro 0423 is cheaper for a typical chat (2K input tokens and 500 output tokens). DeepSeek V4 Pro 0423 costs $0.21 per 1M input tokens and $0.42 per 1M output tokens, while DeepSeek V4 Flash Vision Exp costs $0.22 per 1M input tokens and $0.65 per 1M output tokens.
Which has a bigger context window, DeepSeek V4 Flash Vision Exp or DeepSeek V4 Pro 0423?
DeepSeek V4 Flash Vision Exp supports up to 1.05M tokens of context, compared with 1.05M for DeepSeek V4 Pro 0423.
Is DeepSeek V4 Flash Vision Exp smarter than DeepSeek V4 Pro 0423?
On the Artificial Analysis Intelligence Index, DeepSeek V4 Flash Vision Exp scores 34.8 and DeepSeek V4 Pro 0423 scores 30.4, putting DeepSeek V4 Flash Vision Exp ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use DeepSeek V4 Flash Vision Exp and DeepSeek V4 Pro 0423 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see DeepSeek V4 Flash Vision Exp and DeepSeek V4 Pro 0423 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to DeepSeek V4 Flash Vision Exp and DeepSeek V4 Pro 0423 at the same time. Compare the answers side by side and keep the best one.