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Meta: Llama 3.3 70B Instruct vs Tencent: Hy4 preview

Try both on us. Starter credit covers your first requests, then one key routes Llama 3.3 70B Instruct and Hy4 preview. Switch by changing the model name.

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 published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Tencent: Hy4 preview has the larger context window.

$0.564425/1MMeta: Llama 3.3 70B Instruct cheapest route

$3.518425/1MTencent: Hy4 preview cheapest route

1186 msMeta: Llama 3.3 70B Instruct fastest measured p50 TTFT via scaleway

3177 msTencent: Hy4 preview fastest measured p50 TTFT via gmi

The price comparison adds each route's rate for one million input tokens and one million output tokens; your cost depends on your input/output mix. 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: Hy4 preview

Model idmeta-llama/llama-3.3-70b-instructtencent/hy4-preview

Publisher Meta Tencent Cloud TokenHub

AI IQ — IQ 113#63

Context131,072 tokens1,000,000 tokens

Credits provider routes104

Cheapest route$0.564425/1M$3.518425/1M

Cached input$0.1055/1M to $0.633/1M$0.04431/1M

Privacy posturehas Confidential route (E2EE + ZDR)provider posture varies

Fastest measured p50 TTFT1186 ms via scaleway3177 ms via gmi

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat decide chat

Meta: Llama 3.3 70B Instruct routes

Overview10 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Tencent: Hy4 preview routes

Overview4 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

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Meta: Llama 3.3 70B Instruct vs MoonshotAI: Kimi K338 combined provider routes
Tencent: Hy4 preview vs Z.ai: GLM 5.337 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs Meta: Llama 3.3 70B Instruct36 combined provider routes
Tencent: Hy4 preview vs Z.ai: GLM 5.236 combined provider routes
Tencent: Hy4 preview vs Z.ai: GLM 5.3 Flash36 combined provider routes

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: Hy4 preview?

Is Meta: Llama 3.3 70B Instruct or Tencent: Hy4 preview cheaper?

The current cheapest TrustedRouter route is $0.564425/1M for Meta: Llama 3.3 70B Instruct and $3.518425/1M for Tencent: Hy4 preview. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama 3.3 70B Instruct or Tencent: Hy4 preview faster?

Current measured p50 time to first token is 1186 ms for Meta: Llama 3.3 70B Instruct and 3177 ms for Tencent: Hy4 preview. 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: Hy4 preview 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/hy4-preview. This makes side-by-side evals possible without maintaining two provider integrations.