// head_to_head
DeepSeek V4 Flash Vision Exp vs DeepSeek V4 Pro 0423
Published LiveBench scores across all seven categories, live list pricing, context windows, and the measured cost of a point of capability — for both models, side by side.
DeepSeek V4 Flash Vision Exp wins outright — it scores higher and costs less.
DeepSeek V4 Flash Vision Exp leads by 5.2 points overall while listing 1.6× cheaper per blended million tokens. There is no trade-off to reason about here; the only reason to pick the other is a constraint this table does not show, like an existing contract, a region, or a provider you are already on.
deepseek
DeepSeek V4 Flash Vision Exp
- Blended / 1M
- $0.330
- Context
- 1.0M
- Released
- Aug 21, 2026
- Overall score
- 76.8
deepseek
DeepSeek V4 Pro 0423
- Blended / 1M
- $0.517
- Context
- 1.0M
- Released
- Apr 24, 2026
- Overall score
- 71.6
Specs and pricing
| Metric | DeepSeek V4 Flash Vision Exp | DeepSeek V4 Pro 0423 |
|---|---|---|
| LiveBench overall Mean of the seven LiveBench category scores, 0–100. Higher is better. | 76.8win | 71.6 |
| Cost per point Measured benchmark spend divided by overall score — dollars per point of capability. | $0.0277 | $0.0261 |
| Blended price / 1M 3:1 input:output mix, the usual shape of production traffic. | $0.330win | $0.517 |
| Input price / 1M | $0.220win | $0.414 |
| Output price / 1M | $0.660win | $0.828 |
| Cached input / 1M Price of an input token served from the prompt cache, where the provider publishes one. | $0.0070win | $0.034 |
| Context window | 1.0M | 1.0M |
| Max output tokens | 384K | 384K |
Benchmarks by category
An overall score averages away the thing you probably care about. These are the seven LiveBench categories scored separately — DeepSeek V4 Flash Vision Exp on top, DeepSeek V4 Pro 0423 below, both out of 100.
What each one costs to run
Per-token prices are hard to feel. These are monthly list costs for both models across five workload shapes, using each provider's published cached-input rate where there is one.
| Workload | DeepSeek V4 Flash Vision Exp | DeepSeek V4 Pro 0423 |
|---|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $90.26/mo | $138.20/mo |
| RAG assistant 8K in / 600 out × 100K requests | $130.40/mo | $228.95/mo |
| Coding agent 40K in / 4K out × 20K requests | $109.52/mo | $184.82/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $258.85/mo | $456.87/mo |
| Bulk classification 500 in / 20 out × 5M requests | $509.50/mo | $927.54/mo |
Which should you pick?
Quality matters more than the bill
DeepSeek V4 Flash Vision Exp
Highest overall LiveBench score of the two at 76.8.
The workload is coding or agentic work
DeepSeek V4 Flash Vision Exp
Leads on agentic coding — 65.1 against 42.6.
DeepSeek V4 Flash Vision Exp vs DeepSeek V4 Pro 0423 FAQ
Which is better, DeepSeek V4 Flash Vision Exp or DeepSeek V4 Pro 0423?
DeepSeek V4 Flash Vision Exp wins outright — it scores higher and costs less. DeepSeek V4 Flash Vision Exp leads by 5.2 points overall while listing 1.6× cheaper per blended million tokens. There is no trade-off to reason about here; the only reason to pick the other is a constraint this table does not show, like an existing contract, a region, or a provider you are already on.
Is DeepSeek V4 Flash Vision Exp cheaper than DeepSeek V4 Pro 0423?
DeepSeek V4 Flash Vision Exp is cheaper. On a 3:1 input:output blend, DeepSeek V4 Flash Vision Exp lists at $0.330 per million tokens and DeepSeek V4 Pro 0423 at $0.517 — DeepSeek V4 Flash Vision Exp is 1.6× cheaper. Input and output are priced separately — DeepSeek V4 Flash Vision Exp charges $0.220 in and $0.660 out, DeepSeek V4 Pro 0423 charges $0.414 and $0.828 — so the model that looks cheaper flips depending on how output-heavy your workload is.
DeepSeek V4 Flash Vision Exp vs DeepSeek V4 Pro 0423: which scores higher on benchmarks?
DeepSeek V4 Flash Vision Exp scores 76.8 and DeepSeek V4 Pro 0423 scores 71.6 overall on LiveBench, the mean of its seven categories. That is a 5.2-point lead for DeepSeek V4 Flash Vision Exp. Category scores differ from the overall figure — a model can lead on reasoning and trail on coding, which the per-category table above breaks out.
Which gives better value for money, DeepSeek V4 Flash Vision Exp or DeepSeek V4 Pro 0423?
They are close. DeepSeek V4 Flash Vision Exp costs $0.0277 per point of overall capability and DeepSeek V4 Pro 0423 costs $0.0261, a difference small enough that workload shape will matter more than the rate.
Does DeepSeek V4 Flash Vision Exp or DeepSeek V4 Pro 0423 have a bigger context window?
They are effectively the same — 1.0M for DeepSeek V4 Flash Vision Exp and 1.0M for DeepSeek V4 Pro 0423.
Do DeepSeek V4 Flash Vision Exp and DeepSeek V4 Pro 0423 support prompt caching?
Both publish a cached-input rate: $0.0070 per million for DeepSeek V4 Flash Vision Exp and $0.034 for DeepSeek V4 Pro 0423, against full input rates of $0.220 and $0.414. On a workload with a long stable prefix — a system prompt, a tool schema, a retrieved corpus — that changes the economics more than the headline price does.
Related comparisons
How these numbers are produced
- Price — provider list price from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores — LiveBench release 2026-06-25, using their own category map. Each model shows its strongest published run. A blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
- “Win” — awarded only past a threshold: one full point on a benchmark score, 10% on a price, 25% on a context window. Anything tighter reports as a tie, because effort settings alone move a LiveBench score by more than that.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.