deepseek-reasoner-v4
Input price$0.435
Output price$0.87
DeepSeekText
deepseek-v4-pro
deepseek-v4-pro is DeepSeek's model at $0.66 input and $1.98 output per million tokens, with a 1000K context window. On a typical 3:1 input-to-output mix that blends to roughly $0.99 per million tokens, placing it in the mid-range band of the 79 models tracked here — cheaper than 54% of them.
Context window1000K
Input price$0.66 / 1M
Output price$1.98 / 1M
Output speed94 tok/s
Quality score93
Data updatedUpdated Sep 2026
Price verified2026-09-16 · Official
Price noteOff-peak list rate; peak hours (01:00–04:00 and 06:00–10:00 UTC, Mon–Fri) bill at 2x ($1.32 / $3.96). Cache-hit input is $0.022 / 1M tokens
By price, deepseek-v4-pro ranks 38th cheapest of 79 on input and 35th on output. Its quality score of 93 ranks 14th of 79, and on value (quality score ÷ output price) it ranks 35th of 79. Its blended rate sits 69% below the catalog average.
In real billing terms: a support chatbot handling 50,000 turns a month (2,000 input / 500 output tokens each) costs about $116 per month on deepseek-v4-pro, while a RAG workload of 20,000 queries (8,000 input / 800 output tokens each) runs about $137. Because output is priced 3.0× input here, long-generation tasks scale cost fastest — cap output length before you optimise anything else.
A 1000K context window holds roughly 1,333 pages of A4 text (at ~750 tokens per page), ranking 26th of 79 here. That is enough to drop in an entire technical manual or several source files at once, which suits long-document summarization and codebase-wide analysis. Output runs at about 94 tok/s (47th fastest of 79), acceptable interactively, though long responses will feel slow.
We track 4 DeepSeek models, and deepseek-v4-pro's blended rate sits 76% above that provider's average. If your task tolerates a little less headroom, qwen3.5 (Alibaba) blends about 89% cheaper at a quality score of 91, and is worth benchmarking first. Going the other way, GLM-5.3 scores 94 on quality for about 117% more.
The closest model in DeepSeek's line-up is deepseek-reasoner-v4 ($0.43 input / $0.87 output, quality 92). Against it, deepseek-v4-pro scores 1 point higher on quality, runs 64 tok/s faster (about 213%), has a 869K larger context window, costs 45% more blended. When two models sit this close on price, the deciding factor is usually the quality ceiling — run both against your real prompts before picking.
Estimated monthly cost
Monthly API spend across four common workloads, next to the cheapest model we track.
| Workload | Usage assumption | This model | Cheapest model |
|---|---|---|---|
| Support chatbot | 2,000 input / 500 output tokens per turn, 50,000 turns per month | $116 | $3.00 |
| RAG document Q&A | 8,000 input / 800 output tokens per query, 20,000 queries per month | $137 | $3.84 |
| Coding assistant | 12,000 input / 2,000 output tokens per request, 10,000 requests per month | $119 | $3.20 |
| Batch summarization | 4,000 input / 400 output tokens per item, 200,000 items per month | $686 | $19 |
Derived directly from the rates on this page. Excludes prompt caching, batch discounts and free tiers.
How it compares
The alternatives worth benchmarking alongside it, from the same dataset.
| Model | Provider | Blended /1M | Quality | Price delta |
|---|---|---|---|---|
| deepseek-v4-pro | DeepSeek | $0.99 | 93 | — |
| qwen3.5Cheaper option | Alibaba | $0.11 | 91 | -89% |
| GLM-5.3Higher quality | Zhipu | $2.15 | 94 | +117% |
| deepseek-reasoner-v4Same provider | DeepSeek | $0.54 | 92 | -45% |
Best for
ReasoningCodingLong Context
Modalities
Text
Where it fits — and where it doesn't
Good fit
- Coding: writing, refactoring and debugging across multi-file project context.
- Reasoning: multi-step decomposition, planning and tasks that need rigorous inference.
- Long documents: a 1000K window ingests a full contract, paper or large codebase in one pass.
Poor fit
- Image understanding: this model is text-only, so vision tasks need a multimodal alternative.
Frequently asked questions
How much does the deepseek-v4-pro API cost?
deepseek-v4-pro costs $0.66 per million input tokens and $1.98 per million output tokens. On a 3:1 input-to-output mix that blends to about $0.99 per million tokens.
What does deepseek-v4-pro cost per month?
It depends on volume. Using the four worked scenarios on this page: a support chatbot runs about $116/month, RAG document Q&A about $137/month, a coding assistant about $119/month, and batch summarization about $686/month. Plug your own token counts into the cost calculator for a tailored figure.
How large is the deepseek-v4-pro context window?
1000K tokens — roughly 1,333 pages of A4 text at ~750 tokens per page, ranking 26th of the 79 models tracked here.
deepseek-v4-pro or qwen3.5 — which is better value?
qwen3.5 blends to about $0.11 per million tokens versus $0.99 for deepseek-v4-pro — roughly 89% cheaper — at a quality score of 91 against 93. If that quality gap does not show up on your task, take the cheaper one; if it does, stay with deepseek-v4-pro. Benchmark both on your own data before deciding.
What is deepseek-v4-pro best suited for?
Tagged use cases: reasoning, coding, long-context. Coding: writing, refactoring and debugging across multi-file project context. Less suitable: Image understanding: this model is text-only, so vision tasks need a multimodal alternative.
How current is this deepseek-v4-pro pricing?
Pricing here was last verified on 2026-09-16 against official documentation. llmprice.app runs a daily collection job, but providers can change rates between runs — confirm against DeepSeek's official pricing page before you commit.
Estimate the real cost of this model
Bring tokens per request and monthly volume into the calculator to compare total model costs.
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Pricing, speed and quality scores change over time. Confirm official documentation before production use.