Synthorai
New Sign up free, 10 calls on us. Up to $1, no card needed.

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.

Get your API key How billing works → 
# Drop-in. One line changes.
base_url="https://api.openai.com/v1"
base_url="https://synthorai.io/v1"
Live pricing 126 models · 11 providers · list price, USD per 1M tokens
Model Input Output Cache read Platform fee
claude-opus-5, Anthropic Input $5 Output $25 Cache read $0.5 Platform fee 0% gpt-5.6, OpenAI Input $5 Output $30 Cache read $0.5 Platform fee 0% gemini-3.7-flash, Google Input $0.75 Output $3.75 Cache read $0.075 Platform fee 0% glm-5.2, Z.ai Input $1.4 Output $4.4 Cache read $0.26 Platform fee 0% deepseek-v4-flash-0731, DeepSeek Input $0.44 Output $1.32 Cache read $0.044 Platform fee 0% qwen3.7-plus, Alibaba Input $0.4 Output $1.6 Cache read $0.08 Platform fee 0% seedream-5-0-260128, ByteDance · image Input $0.035per image Output - Cache read - Platform fee 0% gpt-4o-transcribe, OpenAI · speech-to-text Input $6audio Output $10 Cache read - Platform fee 0%
Cache reads run 10-20% of input on these rows; each provider sets its own rate. Browse 126 models →
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 10-20% of list price. Hard quota caps per workspace and per key stop a runaway script.

0% platform feecache read 10-20% 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

Every modality, the same call.

Chat, image, speech, video and realtime voice share one base_url and one key. Change the model id; nothing else moves.

python 
from openai import OpenAI

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

resp = client.chat.completions.create(
  model="claude-opus-5",
  messages=[{"role": "user", "content": "How do I cut my LLM bill?"}],
)
Response
claude-opus-5

Reduce your LLM bill by using smaller/cheaper models for simple tasks, caching repeated responses, trimming prompt length, and setting max token limits.

Drop-in. One line changes. POST /v1/chat/completions

Not sure which model? Compare two.

All 295 comparisons →
Featured comparison

Claude Opus 5 vs GLM-5.2

USD per 1Mclaude-opus-5glm-5.2
Input $5 $1.4
Output $25 $4.4
Cache read $0.5 $0.26

Both share a 1,000,000-token context window and optional thinking, so the real split is modality and price: claude-opus-5 takes image input as well as text, while glm-5.2 is text-only at about 3.6x less on input ($1.4 vs $5) and 5.7x less on output ($4.4 vs $25). Pick claude-opus-5 for prompts containing images or heavier reasoning-plus-tools work; pick glm-5.2 for high-volume text and long-context jobs, where its $0.26 cache reads versus $0.5 and slightly larger 131072-token max output (against 128000) help.

Read the verdict →

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 - $0.44 input and $1.32 output against $0.75 and $3.75, about 1.7x and 2.8x 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. Stripe 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 (bring your own provider keys) 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