OpenAI compatible API · Attested · Public status

Meta: Llama 3.3 70B Instruct vs Tencent: Hy3

Meta: Llama 3.3 70B Instruct vs Tencent: Hy3: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

Verify gateway
Onebase URL to migrate
100sof models and routes
0prompt or output logs. Always.
Compare routesProviders, price, context, and policy posture in one view.
Use auto when uptime mattersKeep a primary model and let fallback handle provider failures.
Same API shapeUse the OpenAI client and set the model you want.

Practical read

Monthly evidence

Meta: Llama 3.3 70B Instruct has the lower cheapest prompt+completion route on TrustedRouter. Meta: Llama 3.3 70B Instruct has more provider fallback routes, while Tencent: Hy3 has the larger context window. Current TrustedRouter probes show Tencent: Hy3 with the lower p50 TTFT.

$0.564425/1MMeta: Llama 3.3 70B Instruct cheapest route
$0.6963/1MTencent: Hy3 cheapest route
1096 msMeta: Llama 3.3 70B Instruct fastest measured p50 TTFT via tinfoil
746 msTencent: Hy3 fastest measured p50 TTFT via deepinfra

Prices and live route measurements can change. Use the monthly reports when you need a stable evidence window, then run a small task-specific eval before choosing a production default.

Meta: Llama 3.3 70B InstructTencent: Hy3
Model idmeta-llama/llama-3.3-70b-instructtencent/hy3
AI IQ IQ 103#77
Context131,072 tokens262,144 tokens
Credits provider routes114
Cheapest route$0.564425/1M$0.6963/1M
Cached input$0.1055/1M to $0.633/1M$0.034815/1M to $0.05275/1M
Privacy posturehas provider E2EE routeprovider posture varies
Fastest measured p50 TTFT1096 ms via tinfoil746 ms via deepinfra
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%100.00%
Modes chat chat

Meta: Llama 3.3 70B Instruct routes

Tencent: Hy3 routes

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Production choice

Pick a default model. Keep fallback enabled.

TrustedRouter is useful when you know the model you want, but still need provider rollover, budget limits, usage records, and a prompt path you can verify.

OpenAI clientPython
client = OpenAI(
    base_url="https://api.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="meta-llama/llama-3.3-70b-instruct",
    messages=messages,
)

Questions

Which should I use, Meta: Llama 3.3 70B Instruct or Tencent: Hy3?

Meta: Llama 3.3 70B Instruct has the lower cheapest prompt+completion route on TrustedRouter. Meta: Llama 3.3 70B Instruct has more provider fallback routes, while Tencent: Hy3 has the larger context window. Current TrustedRouter probes show Tencent: Hy3 with the lower p50 TTFT.

Is Meta: Llama 3.3 70B Instruct or Tencent: Hy3 cheaper?

The current cheapest TrustedRouter route is $0.564425/1M for Meta: Llama 3.3 70B Instruct and $0.6963/1M for Tencent: Hy3. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama 3.3 70B Instruct or Tencent: Hy3 faster?

Current measured p50 time to first token is 1096 ms for Meta: Llama 3.3 70B Instruct and 746 ms for Tencent: Hy3. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Meta: Llama 3.3 70B Instruct and Tencent: Hy3 with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between meta-llama/llama-3.3-70b-instruct and tencent/hy3. This makes side-by-side evals possible without maintaining two provider integrations.

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