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Meta: Llama 4 Maverick vs OpenAI: gpt-oss-20b

Try both on us. Starter credit covers your first requests, then one key routes Llama 4 Maverick and gpt-oss-20b. 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

gpt-oss-20b has the lower published input-plus-output rate, more Credits provider routes, the larger context window and the lower measured p50 time to first token.

$1.1816/1MMeta: Llama 4 Maverick cheapest route

$0.057475/1MOpenAI: gpt-oss-20b cheapest route

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

445 msOpenAI: gpt-oss-20b fastest measured p50 TTFT via nvidia-nim

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 MaverickOpenAI: gpt-oss-20b

Model idmeta-llama/llama-4-maverickopenai/gpt-oss-20b

Publisher Meta OpenAI

AI IQ IQ 87#160 IQ 93#149

Context128,000 tokens131,072 tokens

Credits provider routes313

Cheapest route$1.1816/1M$0.057475/1M

Cached input$0.05275/1M to $0.17935/1M$0.01/1M to $0.029013/1M

Privacy posturehas ZDR routehas ZDR route

Fastest measured p50 TTFT1469 ms via digitalocean445 ms via nvidia-nim

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%0.00% to 100.00%

Modes chat chat decide

Meta: Llama 4 Maverick routes

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

OpenAI: gpt-oss-20b routes

Overview13 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

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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-4-maverick",
    messages=messages,
)

Questions

Which should I use, Meta: Llama 4 Maverick or OpenAI: gpt-oss-20b?

gpt-oss-20b has the lower published input-plus-output rate, more Credits provider routes, the larger context window and the lower measured p50 time to first token.

Is Meta: Llama 4 Maverick or OpenAI: gpt-oss-20b cheaper?

The current cheapest TrustedRouter route is $1.1816/1M for Meta: Llama 4 Maverick and $0.057475/1M for OpenAI: gpt-oss-20b. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama 4 Maverick or OpenAI: gpt-oss-20b faster?

Current measured p50 time to first token is 1469 ms for Meta: Llama 4 Maverick and 445 ms for OpenAI: gpt-oss-20b. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Meta: Llama 4 Maverick and OpenAI: gpt-oss-20b 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 openai/gpt-oss-20b. This makes side-by-side evals possible without maintaining two provider integrations.