DeepSeek V4 Pro 0813
deepseek/v4-pro-0813出品方： DeepSeek · 系列: deepseek-thinking · 发布 2026-08-12
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
能力清单
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding75
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)20/20
- Provider availability5/10
Agents70
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability5/10
JSON / structured output47
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume17/20
Cost efficiency65
- Headline price (log-scaled)60/95
- Has prompt-cache pricing5/5
Long context91
- Context window (100K → 2M)81/90
- Has published price for full window10/10
Production-readiness81
- Number of independent providers25/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers6/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $2.61 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $5.22 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $1.30 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $4.35 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $5.74 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
定价详情
推荐定价来自 openrouter · deepseek/deepseek-v4-pro-0813
在 5 家渠道可用
| 服务商 | 服务商模型 ID | 输入 / 1M | 输出 / 1M | 上下文 | 发布日期 |
|---|---|---|---|---|---|
| OpenRouter openrouter | deepseek/deepseek-v4-pro-0813 | $0.435 | $0.870 | 1.05M | 2026-08-12 |
| Vercel AI Gateway vercel | deepseek/deepseek-v4-pro-0813 | $0.435 | $0.870 | 1M | 2026-04-23 |
| NanoGPT nano-gpt | deepseek/deepseek-v4-pro-0813 | $0.435 | $0.870 | 1.05M | 2026-08-12 |
| Merge Gateway merge-gateway | deepseek/deepseek-v4-pro-0813 | $0.435 | $0.870 | 1M | 2026-08-12 |
| Kilo Gateway kilo | deepseek/deepseek-v4-pro-0813 | $0.435 | $0.870 | 1.05M | 2026-08-12 |
各渠道数据存在不一致
- context_window varies: 1000000, 1048576
- release_date varies (span 111d): 2026-04-23, 2026-08-12
各服务商对此模型的报告值存在差异。上方「核心数据」使用代表性服务商的值；逐项请以下表为准。
Frequently asked questions
How much does DeepSeek V4 Pro 0813 cost?
DeepSeek V4 Pro 0813 costs $0.435 per 1M input tokens and $0.870 per 1M output tokens, sourced from openrouter. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of DeepSeek V4 Pro 0813?
DeepSeek V4 Pro 0813 has a context window of 1.05M tokens, with a max output of 384K tokens per reply. This is the total combined size of prompt + completion.
Does DeepSeek V4 Pro 0813 support tool calling?
Yes. DeepSeek V4 Pro 0813 supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does DeepSeek V4 Pro 0813 support structured output / JSON mode?
No. DeepSeek V4 Pro 0813 does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.
Can DeepSeek V4 Pro 0813 accept image input?
No. DeepSeek V4 Pro 0813 only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is DeepSeek V4 Pro 0813 open-weight?
No. DeepSeek V4 Pro 0813 is a proprietary model — only DeepSeek (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to DeepSeek V4 Pro 0813?
If DeepSeek V4 Pro 0813 doesn't fit, consider DeepSeek V4 Pro, DeepSeek V4 Flash, DeepSeek-V3.2. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More DeepSeek models
- DeepSeek V4 Pro$0.43 in / $0.87 out
- DeepSeek V4 Flash$0.14 in / $0.28 out
- DeepSeek-V3.2$0.18 in / $0.35 out
- DeepSeek V4 Flash 0731$0.08 in / $0.18 out
- DeepSeek-R1$0.40 in / $1.70 out
Capability lists this model is in
最近更新：
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.