Pricing, context window, capabilities, and release date — pulled from each provider's public docs. Both are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.
Both models stream in parallel through your own AIgateway key. Tokens, latency, and cost update as they arrive.
| DeepSeek V4 Pro deepseek/deepseek-v4-pro | FLUX 3 Video black-forest-labs/flux-3-video | |
|---|---|---|
| Provider | Deepseek | Black Forest Labs |
| Family | DeepSeek | FLUX |
| Modality | text | video |
| Context window | 131,072 tok | — |
| Max output | 32,768 tok | — |
| Released | 2026-08-03 | 2026-08-04 |
| Input price | $2.40 /1M | $0.170 /sec |
| Output price | $4.80 /1M | — |
| Cache read | — | — |
| Tools | yes | — |
| Streaming | yes | — |
| Vision | — | — |
| JSON mode | yes | — |
| Reasoning | yes | — |
| Prompt caching | — | — |
DeepSeek V4 Pro is a high-capability reasoning model from DeepSeek, served via Fireworks infrastructure for production-grade inference.
FLUX 3 Video is Black Forest Labs' video generation model. It generates video from a text prompt (t2v), animates one or more reference images (i2v), or continues an existing clip (v2v), with synchronized audio, up to fhd resolution, and 5-20 second durations.
# pip install aigateway-py openai
# aigateway-py: sub-accounts, evals, replays, jobs, webhook verify.
# openai SDK: chat/embeddings/images/audio — drop-in compat per our SDK's own guidance.
from openai import OpenAI
client = OpenAI(
base_url="https://api.aigateway.sh/v1",
api_key="sk-aig-...",
)
# Try DeepSeek V4 Pro
client.chat.completions.create(
model="deepseek/deepseek-v4-pro",
messages=[{"role":"user","content":"hello"}],
)
# Try FLUX 3 Video — same client, same key
client.chat.completions.create(
model="black-forest-labs/flux-3-video",
messages=[{"role":"user","content":"hello"}],
)