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OpenAI: gpt-oss-120b vs Qwen2.5-Coder-7B-Instruct

Try both on us. Starter credit covers your first requests, then one key routes gpt-oss-120b and Qwen2.5-Coder-7B-Instruct. 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-120b has more Credits provider routes and the lower measured p50 time to first token. Qwen2.5-Coder-7B-Instruct has the lower published input-plus-output rate. Their context windows are the same size.

$0.211/1MOpenAI: gpt-oss-120b cheapest route
$0.0422/1MQwen2.5-Coder-7B-Instruct cheapest route
1033 msOpenAI: gpt-oss-120b fastest measured p50 TTFT via cerebras
1342 msQwen2.5-Coder-7B-Instruct fastest measured p50 TTFT via nscale

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.

OpenAI: gpt-oss-120bQwen2.5-Coder-7B-Instruct
Model idopenai/gpt-oss-120bqwen/qwen2.5-coder-7b-instruct
AI IQ IQ 98#132 —
Context131,072 tokens131,072 tokens
Credits provider routes241
Cheapest route$0.211/1M$0.0422/1M
Cached input$0.015825/1M to $0.1055/1MNot published
Privacy posturehas Confidential route (E2EE + ZDR)provider posture varies
Fastest measured p50 TTFT1033 ms via cerebras1342 ms via nscale
Highest measured throughput132 tok/s via amazon-bedrocknot enough data
Recent route uptime range88.31% to 100.00%100.00%
Modes chat chat

OpenAI: gpt-oss-120b routes

Qwen2.5-Coder-7B-Instruct routes

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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="openai/gpt-oss-120b",
    messages=messages,
)

Questions

Which should I use, OpenAI: gpt-oss-120b or Qwen2.5-Coder-7B-Instruct?

gpt-oss-120b has more Credits provider routes and the lower measured p50 time to first token. Qwen2.5-Coder-7B-Instruct has the lower published input-plus-output rate. Their context windows are the same size.

Is OpenAI: gpt-oss-120b or Qwen2.5-Coder-7B-Instruct cheaper?

The current cheapest TrustedRouter route is $0.211/1M for OpenAI: gpt-oss-120b and $0.0422/1M for Qwen2.5-Coder-7B-Instruct. The comparison uses current catalog prices and updates as provider pricing changes.

Is OpenAI: gpt-oss-120b or Qwen2.5-Coder-7B-Instruct faster?

Current measured p50 time to first token is 1033 ms for OpenAI: gpt-oss-120b and 1342 ms for Qwen2.5-Coder-7B-Instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test OpenAI: gpt-oss-120b and Qwen2.5-Coder-7B-Instruct with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between openai/gpt-oss-120b and qwen/qwen2.5-coder-7b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.

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