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Multimodal AI Gateway

One API for every modality. Direct-provider prices, zero markup.

Chat, image, speech, video and realtime voice behind one OpenAI-compatible endpoint. Zero prompt retention by default.

python
from openai import OpenAI

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

resp = client.images.generate(
  model="seedream-5-0-260128",
  prompt="an AI gateway routing data through a neural network, soft lavender light, bright airy studio",
  size="2048x2048",
)
Response
Sample image generated by Seedream seedream-5-0-260128 · 2048² · $0.035
Drop-in. One line changes. POST /v1/images/generations
One endpoint, every major model

Three things you will want to check.

Will it cost more than going direct?

No platform markup, no per-seat fees. Native prompt caching cuts repeat input to ~10% of list price. Hard quota caps per workspace and per key stop a runaway script.

0% platform feecache read ~10% of listfree BYOK

Where do my prompts go?

Zero retention by default: prompts and completions are never stored. TLS 1.3 in transit, isolated per workspace, guardrails scan for PII and secrets before data leaves your perimeter.

zero retentionTLS 1.3region pin

Can legal actually sign it?

GDPR and CCPA ready, with a DPA your legal team can actually sign. Region pinning (US / EU / APAC), per-request audit logs, SSO (SAML / OIDC), and fine-grained RBAC.

DPASSO / RBACaudit logs

Not sure which model? Compare two.

All 231 comparisons →

DeepSeek V4 Flash (0731) vs Gemini 3.7 Flash

Both are text-in reasoning-and-tools models with roughly a million tokens of context (1000000 for deepseek-v4-flash-0731, 1048576 for gemini-3.7-flash), so the split is really about modalities and output volume. Pick deepseek-v4-flash-0731 for text-only work at lower cost - $0.308 input and $0.924 output against $0.75 and $3.75, about 2.4x and 4x cheaper - and for long generations, since its 393216 max output tokens is 6x the 65536 cap. Pick gemini-3.7-flash when you need image, audio or video input, which deepseek-v4-flash-0731 does not accept at all.

Read the verdict →

GPT-5.6 vs Qwen3.8 Max

Both take text and image in and return text, with chat, code, tools and reasoning on each, so the split is mostly price and control: gpt-5.6 costs 2.5x more per input token ($5 vs $2) and 5x more per output token ($30 vs $6), with cache reads at $0.5 against $0.25. Pick qwen3.8-max for high-volume or output-heavy work and its long-context flag over a 983616-token window, plus a slightly larger 131072-token max output. Pick gpt-5.6 when you want the marginally wider 1050000-token context or the ability to turn thinking off per request.

Read the verdict →

Three steps to your first token.

Under a minute from sign-up to first call. Payment processing fee on us. No sales call to scale.

  1. Sign up free

    Google, GitHub, or email. You're in the console in seconds, no invite needed.

  2. BYOK or pay-as-you-go

    BYOK is free with zero platform markup on the upstream list price. Or fund with USD and set hard caps per workspace and per API key.

  3. Drop in your API key

    One OpenAI- or Anthropic-compatible base URL. Paste your key. Your existing code keeps working.

Get your API key