How does DeepSeek-V3.2-Speciale compare with grok-4-20-non-reasoning, and what should you compare?

DeepSeek-V3.2-Speciale sits alongside grok-4-20-non-reasoning , grok-4.20-0309-non-reasoning , grok-4.20-beta-0309-non-reasoning in the catalog. Compare them on the dimensions that change your bill and your users’ experience: task quality on your own prompts, latency at your concurrency, context and output limits, and cost per completed task rather than per token.

How does DeepSeek-V3.2-Speciale score on benchmarks?

Recorded results for DeepSeek-V3.2-Speciale: aa_intelligence_index 21.6. Benchmark positions are a coarse filter only — run your own prompts against the candidate models before you commit, because ranking shifts with task shape and prompt style.

What is the rate limit for DeepSeek-V3.2-Speciale?

The current model record does not publish a numeric rate limit for DeepSeek-V3.2-Speciale. Confirm the quota for your plan in the console, then run a short load test at your expected concurrency to establish the effective ceiling before production.

Can you call DeepSeek-V3.2-Speciale with the OpenAI SDK you already use?

Yes. DeepSeek-V3.2-Speciale is reachable through an OpenAI-compatible endpoint, so an existing OpenAI SDK client works after pointing the base URL at MixRoute and setting the model parameter to deepseek-v3.2-speciale . Keep your current request and response handling.

How are reasoning tokens billed on DeepSeek-V3.2-Speciale?

Reasoning tokens are billed as output on DeepSeek-V3.2-Speciale, at $1.6800 per 1,000,000 token. They are generated before the visible answer and count toward both latency and spend, so a higher reasoning setting costs more even when the final answer is short.

Model detail

DeepSeek-V3.2-Speciale

Provided by DeepSeek

Pay-as-you-go

A high-compute DeepSeek V3.2 variant focused on demanding reasoning problems, including mathematical and programming competition tasks.

Model specs

Model ID: deepseek-v3.2-speciale

Context length: 131.072K
Max output: 128K
I/O modalities
Released: 2025-12

API endpoints

One MixRoute gateway, OpenAI-compatible

OpenAI-compatible /v1/chat/completions POST

Pricing

Flat rate, unit: /1M Tokens

Input

$0.5800 /1M Tokens

Completion

$1.6800 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

A high-compute DeepSeek V3.2 variant focused on demanding reasoning problems

A high-compute DeepSeek V3.2 variant focused on demanding reasoning problems, including mathematical and programming competition tasks.

What should you check before using it?

131,072 context, 128,000 output tokens

DeepSeek model that supports reasoning. Knowledge cutoff: 2024-07. Released 2025-12-01.

Why use it through MixRoute?

Swap the base URL, keep the DeepSeek-V3.2-Speciale client

MixRoute serves DeepSeek-V3.2-Speciale on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID deepseek-v3.2-speciale and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Streaming

DeepSeek-V3.2-Speciale supports streamed responses.

EX stream: true streams tokens incrementally, so chat UIs render as they arrive.

Prompt caching

DeepSeek-V3.2-Speciale supports prompt caching under supported routing conditions.

EX Keep the system prompt and tool definitions at the start of the request; repeated prefixes are automatically billed at the cache-read rate.

OpenAI SDK

Call DeepSeek-V3.2-Speciale through MixRoute's OpenAI-compatible endpoint.

EX Change base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.

Token cost estimator

Live estimate from this page's pricing, not an actual bill

Input tokens Max per request 131.072K

Output tokens Max per request 128K

Requests / month

Cache hit rate –

This model has no cache-read price; caching is not counted

FAQ

Before switching production traffic to DeepSeek-V3.2-Speciale, run a pilot on a representative slice of your traffic and check output quality, latency at peak concurrency, and cost per request. Verify the error and retry behaviour, and confirm the request limits you depend on match your plan.

Get started

01

Create an API key

Generate a key in the Console; one key calls every model.
02

Set the base URL

Fully OpenAI SDK-compatible; just swap the URL to connect.

https://api.mixroute.ai/v1
03

Specify the model ID

In the request's model field, enter:

deepseek-v3.2-speciale

Create an API key

New users get $5 in free credits

Test this model and alternate routes with the same request format

Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.

Create an API key View integration docs