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DeepSeek V4 Pro Released 2026-04-24

DeepSeek chat code reasoning tools
Input$1.608/M
Output$3.216/M
Cache read$0.0134/M
Context131K
vs GPT-4o~68% cheaper

Provider list prices: no platform markup, pay-as-you-go. These are official list prices. Logged-in customers may see effective prices including workspace discounts on /console/pricing. Effective input at a 70% cache-hit rate:$0.4918/M. Automatic disk KV-prefix caching: cache hits bill at the discounted cache-read rate with no opt-in and no write fee.

Use DeepSeek V4 Pro in 30 seconds

OpenAI-compatible: swap the base_url, keep your SDK. POST /v1/chat/completions

from openai import OpenAI

client = OpenAI(
    base_url="https://synthorai.io/v1",
    api_key="sk-syn-...",
)

resp = client.chat.completions.create(
    model="deepseek-v4-pro",
    messages=[{"role": "user", "content": "Summarize this diff"}],
    reasoning_effort="medium",
)
print(resp.choices[0].message.content)

About DeepSeek V4 Pro

1.6T-parameter MoE with 49B activated
Pre-trained on more than 32T tokens
1M context with dual thinking modes

DeepSeek V4 Pro is the flagship of the open-source DeepSeek-V4 series: a Mixture-of-Experts model with 1.6T total parameters and 49B activated, pre-trained on more than 32T tokens.

  • It supports a 1M-token context window (vendor spec; see the context tile for what's served here) and dual thinking/non-thinking modes, and DeepSeek highlights strong agentic coding, broad world knowledge, and reasoning across mathematics, STEM, and programming.
  • New sparse-attention designs reduce long-context inference FLOPs and KV cache to a fraction of DeepSeek-V3.2's.
  • Weights are openly released under the MIT License.
  • On Synthorai, DeepSeek V4 Pro is available through the OpenAI-compatible chat completions endpoint.

Specs & limits

Max output (vendor spec)393,216
Modalitiestext → text
Parameters1.6T total · 49B active (MoE)
Featurestools · structured_output · streaming · reasoning · caching
LicenseMIT ↗
Notable1.6T/49B active MoE flagship, 1M context, Thinking + Non-Thinking modes; hybrid sparse attention cuts single-token FLOPs to 27% and KV cache to 10% vs V3.2 at 1M context.
Prompt cachingautomatic

per DeepSeek official docs ↗

FAQ

Is the DeepSeek V4 Pro API free to try?

Yes: new accounts get 10 trial calls and up to $1 in free credit, no card required. At $1.608/M input tokens, that credit alone covers roughly 77 requests of ~8K tokens against DeepSeek V4 Pro.

What is DeepSeek V4 Pro best at?

1.6T-parameter MoE with 49B activated, plus pre-trained on more than 32T tokens and 1M context with dual thinking modes. See the About section for the full picture from the vendor's own release notes.

How much does DeepSeek V4 Pro cost?

DeepSeek V4 Pro costs $1.608 per million input tokens and $3.216 per million output tokens on Synthorai. That is the provider's list price, with no platform markup. Cached input tokens bill at $0.0134/M.

Does DeepSeek V4 Pro support prompt caching?

Yes, automatically: DeepSeek-served prompts cache with no code changes. Cached input tokens bill at $0.0134/M vs $1.608/M uncached. Prompt caching guide →

How do I get access to DeepSeek V4 Pro?

Point your existing OpenAI SDK at base_url="https://synthorai.io/v1", set model="deepseek-v4-pro", and you're done. One API key covers every model on the gateway.

Is DeepSeek V4 Pro open source?

Yes: the weights are published under the MIT license (official repository linked in the About section). Or skip the GPUs: the hosted version here is pay-as-you-go with no infrastructure to run. Running open-weight models →

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