Model comparison
DeepSeek-V4-Flash-Vision-Exp vs DeepSeek-V4-Pro
- Input
- $0.22 off-peak · $0.44 peak
- Output
- $0.66 off-peak · $1.32 peak
- Context
- 1M
- Released
- 2026-08-21
- Input
- $0.66 off-peak · $1.32 peak
- Output
- $1.98 off-peak · $3.96 peak
- Context
- 1M
- Released
- 2026-08-13
DeepSeek-V4-Pro scores higher on 6 of the 8 benchmarks both models report (the other leads on 2); DeepSeek-V4-Flash-Vision-Exp is cheaper on input tokens ($0.2 vs $0.7 per 1M, 3×).
Specs and pricing side by side
| Spec | DeepSeek-V4-Flash-Vision-Exp | DeepSeek-V4-Pro |
|---|---|---|
| Maker | DeepSeek | DeepSeeksame |
| Released | 2026-08-21 | 2026-08-13 |
| Context window | 1M | 1Msame |
| Max output | 384K | 384Ksame |
| Input price | $0.22 off-peak · $0.44 peak | $0.66 off-peak · $1.32 peak |
| Output price | $0.66 off-peak · $1.32 peak | $1.98 off-peak · $3.96 peak |
| Parameters | not published | 1.6T total · 49B active |
| License | MIT | MITsame |
| Weights | Open weights | Open weightssame |
| Modalities | Text, Vision | Text |
Not published by either maker: knowledge cutoff.
Benchmarks both models report
| Benchmark | DeepSeek-V4-Flash-Vision-Exp | DeepSeek-V4-Pro |
|---|---|---|
| Terminal Bench 2.1 | 83.9% | 87.9% |
| Toolathlon-Verified | 75.9% | 74.1% |
| Cybergym | 75.3% | 83.3% |
| DSBench-Hard | 63.6% | 67.2% |
| DeepSWE | 59.3% | 62.7% |
| NL2Repo | 57.7% | 61.5% |
| Agents' Last Exam | 27.3% | 25.7% |
| AutomationBench | 25.7% | 31.8% |
Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.
Which one should you pick?
Pick DeepSeek-V4-Flash-Vision-Exp if…
- You care about Toolathlon-Verified, Agents' Last Exam (it scores higher on 2 shared benchmarks).
- Cost matters: input tokens cost 3× less ($0.2 vs $0.7 per 1M).
- You need Vision input, which DeepSeek-V4-Pro lacks.
- Your use case is: multimodal agent loops that must read screenshots, dashboards or UI state to decide the next action.
Pick DeepSeek-V4-Pro if…
- You care about Terminal Bench 2.1, Cybergym, DSBench-Hard (it scores higher on 6 shared benchmarks).
- Your use case is: long-document and large-codebase analysis that needs the full 1M-token window.
FAQ
Which is better, DeepSeek-V4-Flash-Vision-Exp or DeepSeek-V4-Pro?
DeepSeek-V4-Pro scores higher on 6 of the 8 benchmarks both models report (the other leads on 2); DeepSeek-V4-Flash-Vision-Exp is cheaper on input tokens ($0.2 vs $0.7 per 1M, 3×). The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.
How much cheaper is DeepSeek-V4-Flash-Vision-Exp?
DeepSeek-V4-Flash-Vision-Exp: $0.22 off-peak · $0.44 peak input, $0.66 off-peak · $1.32 peak output. DeepSeek-V4-Pro: $0.66 off-peak · $1.32 peak input, $1.98 off-peak · $3.96 peak output (list API prices as published by each maker).
What are the context windows of DeepSeek-V4-Flash-Vision-Exp and DeepSeek-V4-Pro?
DeepSeek-V4-Flash-Vision-Exp offers 1M with up to 384K output; DeepSeek-V4-Pro offers 1M with up to 384K output.
Is DeepSeek-V4-Flash-Vision-Exp newer than DeepSeek-V4-Pro?
DeepSeek-V4-Flash-Vision-Exp was released 2026-08-21; DeepSeek-V4-Pro was released 2026-08-13.
Go deeper
- DeepSeek-V4-Flash-Vision-Exp: full specs, pricing and benchmarks
- DeepSeek-V4-Pro: full specs, pricing and benchmarks
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