OpenAI compatible API · Attested · Public status

Meta: Llama 3.3 70B Instruct vs Qwen: Qwen3 235B A22B Thinking 2507

Meta: Llama 3.3 70B Instruct vs Qwen: Qwen3 235B A22B Thinking 2507: 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 Meta: Llama 3.3 70B Instruct has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

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

$1.576804/1MQwen: Qwen3 235B A22B Thinking 2507 cheapest route

1522 msMeta: Llama 3.3 70B Instruct fastest measured p50 TTFT via databricks

not enough dataQwen: Qwen3 235B A22B Thinking 2507 fastest measured p50 TTFT

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 InstructQwen: Qwen3 235B A22B Thinking 2507

Model idmeta-llama/llama-3.3-70b-instructqwen/qwen3-235b-a22b-thinking-2507

Publisher Cerebras Novita AI

AI IQ — —

Context131,072 tokens131,072 tokens

Credits provider routes124

Cheapest route$0.564425/1M$1.576804/1M

Cached input$0.1055/1M to $0.633/1M$0.024265/1M to $0.031534/1M

Privacy posturehas provider E2EE routehas provider E2EE route

Fastest measured p50 TTFT1522 ms via databricksnot enough data

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%0.00%

Modes chat chat

Meta: Llama 3.3 70B Instruct routes

Overview12 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Qwen: Qwen3 235B A22B Thinking 2507 routes

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

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Qwen: Qwen3 235B A22B Thinking 2507 vs Z.ai: GLM 5.232 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 Qwen: Qwen3 235B A22B Thinking 2507?

Is Meta: Llama 3.3 70B Instruct or Qwen: Qwen3 235B A22B Thinking 2507 cheaper?

The current cheapest TrustedRouter route is $0.564425/1M for Meta: Llama 3.3 70B Instruct and $1.576804/1M for Qwen: Qwen3 235B A22B Thinking 2507. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama 3.3 70B Instruct or Qwen: Qwen3 235B A22B Thinking 2507 faster?

Current measured p50 time to first token is 1522 ms for Meta: Llama 3.3 70B Instruct and not enough data for Qwen: Qwen3 235B A22B Thinking 2507. 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 Qwen: Qwen3 235B A22B Thinking 2507 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 qwen/qwen3-235b-a22b-thinking-2507. This makes side-by-side evals possible without maintaining two provider integrations.