How much does DeepSeek VL2 cost per million tokens?
As of August 30, 2026, DeepSeek VL2 DeepSeek API pricing is $0.30 per million input tokens and $2.50 per million output tokens via Replicate. Input tokens are the prompt you send; output tokens are the completion. Long answers therefore cost more than short ones even when the prompt stays the same. Source: https://api-docs.deepseek.com/quick_start/pricing
What is the blended API cost for DeepSeek VL2?
On this page the blended DeepSeek VL2 API cost is $2.80 for 1 million input tokens plus 1 million output tokens. That 1:1 mix is the comparison scale used across the LLM pricing table. A 3:1 mix (three million input tokens per one million output tokens), which some calculators use, would be about $3.40.
How much does a typical DeepSeek VL2 request cost?
A typical DeepSeek VL2 API request with 100K input tokens and 20K output tokens costs about $0.08 at current rates as of August 30, 2026. Multiply that by daily or monthly volume to estimate spend. Caching, batch APIs, and volume discounts from Replicate can bring the real invoice lower than the public list rate at https://api-docs.deepseek.com/quick_start/pricing.
What is the context window for DeepSeek VL2?
DeepSeek VL2 supports a 129K token context window and can generate up to 129K output tokens per request. The context window is the total prompt plus conversation history the model can see in one call. Larger windows cost more when you fill them, because every input token is billed per million tokens.
Is DeepSeek VL2 open source?
Yes. DeepSeek VL2 is an open-weight model by DeepSeek. You can download the weights and self-host, or pay Replicate's hosted API and skip GPU ops. Hosted API pricing on this page is the public per-million-token rate, not the electricity cost of running the weights yourself.
What benchmarks does DeepSeek VL2 perform well on?
DeepSeek VL2 currently reports MMMU 51.1%, Docvqa 93.3%, Chartqa 86%. See the performance table for the full eval set. Use those scores with the token prices above when you are choosing between a cheaper LLM and a frontier model. GPQA, SWE-bench, and HLE are the evals people usually compare first.
How do I compare DeepSeek VL2 with another LLM?
Use the Compare picker on this page to start an LLM comparison. Search by model or provider, pick a second model, and AnotherWrapper opens a dedicated DeepSeek VL2 vs page with per-million-token prices, blended 1M-in / 1M-out cost, context window, throughput, and benchmarks. You can also open any model from the sidebar, or go back to the LLM pricing table to sort the full index.
What are the cheapest alternatives to DeepSeek VL2?
The cheapest LLM alternative depends on whether you optimize for blended token cost, coding evals, or context window. Start with the popular matchups on this page, then sort the LLM pricing table by blended cost to see which hosted APIs undercut DeepSeek VL2. Open-weight models can be cheaper still if you self-host, but that is not the same as DeepSeek API pricing on this page.
How do I use DeepSeek VL2 in my application?
DeepSeek VL2 is called through Replicate's API with an API key. Bill against input and output tokens separately; cache or shorten prompts if spend is high. If you are shipping a full product, AnotherWrapper includes pre-built API routes and templates for Replicate and 5+ other providers with auth, payments, and deployment already configured.
How accurate is this DeepSeek VL2 pricing data?
This DeepSeek VL2 page tracks the latest published DeepSeek API pricing from Replicate, quoted per million tokens. List rates can differ from invoices because of prompt caching, batch discounts, committed-use tiers, and private contracts. Official rate sheet: https://api-docs.deepseek.com/quick_start/pricing. Benchmark scores come from official publications and independent evals, not from a private lab run by AnotherWrapper.
How fast is DeepSeek VL2?
DeepSeek VL2 has a measured throughput of about 22 tokens per second (tok/s). Throughput is how fast completions stream once the model starts generating; time-to-first-token can still lag under load. Faster APIs matter when you are building chat or agents, even if the per-million-token price is the same.