OpenAI compatible API · Attested · Public status

Qwen: Qwen3.5-9B vs Meta: Llama 4 Maverick

Compare Qwen: Qwen3.5-9B and Meta: Llama 4 Maverick by providers, context, price, and TrustedRouter route support.

Verify gateway
Onebase URL to migrate
100sof models and routes
Noneprompt logs by default
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

Qwen: Qwen3.5-9B has the lower cheapest prompt+completion route on TrustedRouter. Qwen: Qwen3.5-9B has more provider fallback routes, while Meta: Llama 4 Maverick has the larger context window. Current TrustedRouter probes show Meta: Llama 4 Maverick with the lower p50 TTFT.

$0.2625/1MQwen: Qwen3.5-9B cheapest route
$1.176/1MMeta: Llama 4 Maverick cheapest route
3645 msQwen: Qwen3.5-9B measured p50 TTFT
1835 msMeta: Llama 4 Maverick measured p50 TTFT
Qwen: Qwen3.5-9BMeta: Llama 4 Maverick
Model idqwen/qwen3.5-9bmeta-llama/llama-4-maverick
PublisherDeepInfraCerebras
Context262,144 tokens1,048,576 tokens
Provider routes84
Cheapest route$0.2625/1M$1.176/1M
Privacy posturehas provider E2EE routehas ZDR route
Modes chat chat

Qwen: Qwen3.5-9B routes

Meta: Llama 4 Maverick 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="qwen/qwen3.5-9b",
    messages=messages,
)
Workspace access

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