Free to start

Meta: Llama 4 Maverick vs Qwen: Qwen3.5-122B-A10B

Try both on us. Starter credit covers your first requests, then one key routes Llama 4 Maverick and Qwen3.5-122B-A10B. 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 4 Maverick has the lower published input-plus-output rate and the lower measured p50 time to first token. Qwen: Qwen3.5-122B-A10B has more Credits provider routes and the larger context window.

$1.1816/1MMeta: Llama 4 Maverick cheapest route

$2.4687/1MQwen: Qwen3.5-122B-A10B cheapest route

1469 msMeta: Llama 4 Maverick fastest measured p50 TTFT via digitalocean

1845 msQwen: Qwen3.5-122B-A10B fastest measured p50 TTFT via novita

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 4 MaverickQwen: Qwen3.5-122B-A10B

Model idmeta-llama/llama-4-maverickqwen/qwen3.5-122b-a10b

Publisher Meta Alibaba Cloud Model Studio

AI IQ IQ 87#160 —

Context128,000 tokens262,144 tokens

Credits provider routes36

Cheapest route$1.1816/1M$2.4687/1M

Cached input$0.05275/1M to $0.17935/1M$0.0422/1M to $0.3165/1M

Privacy posturehas ZDR routehas ZDR route

Fastest measured p50 TTFT1469 ms via digitalocean1845 ms via novita

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

Meta: Llama 4 Maverick routes

Overview3 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Qwen: Qwen3.5-122B-A10B routes

Overview6 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Related comparisons

Browse every comparison

Qwen: Qwen3.5-122B-A10B vs Z.ai: GLM 5.339 combined provider routes
Qwen: Qwen3.5-122B-A10B vs Z.ai: GLM 5.238 combined provider routes
Qwen: Qwen3.5-122B-A10B vs Z.ai: GLM 5.3 Flash38 combined provider routes
MoonshotAI: Kimi K3 vs Qwen: Qwen3.5-122B-A10B34 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs Qwen: Qwen3.5-122B-A10B32 combined provider routes
Meta: Llama 4 Maverick vs MoonshotAI: Kimi K331 combined provider routes
DeepSeek: DeepSeek V4.1 Flash vs Qwen: Qwen3.5-122B-A10B30 combined provider routes
OpenAI: gpt-oss-120b vs Qwen: Qwen3.5-122B-A10B30 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-4-maverick",
    messages=messages,
)

Questions

Which should I use, Meta: Llama 4 Maverick or Qwen: Qwen3.5-122B-A10B?

Is Meta: Llama 4 Maverick or Qwen: Qwen3.5-122B-A10B cheaper?

The current cheapest TrustedRouter route is $1.1816/1M for Meta: Llama 4 Maverick and $2.4687/1M for Qwen: Qwen3.5-122B-A10B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama 4 Maverick or Qwen: Qwen3.5-122B-A10B faster?

Current measured p50 time to first token is 1469 ms for Meta: Llama 4 Maverick and 1845 ms for Qwen: Qwen3.5-122B-A10B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Meta: Llama 4 Maverick and Qwen: Qwen3.5-122B-A10B 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-4-maverick and qwen/qwen3.5-122b-a10b. This makes side-by-side evals possible without maintaining two provider integrations.