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gpt-oss-120b vs Qwen/Qwen3-4B-Instruct-2507

Practical read: gpt-oss-120b costs about a sixth as much, reads four times more context and starts answering sooner. One API key runs both.

No card required. Start with 1 million free tokens.

Side by side:

OpenAI: gpt-oss-120b compared with Qwen/Qwen3-4B-Instruct-2507
Attribute gpt-oss-120b openai/gpt-oss-120b Qwen/Qwen3-4B-Instruct-2507 qwen/qwen3-4b-instruct-2507
Price, 1M in + out $0.21 Weights & Biases, cheapest route $1.27 Featherless AI, cheapest route
Best for Low cost, long documents and speed
Input / output, 1M $0.032 / $0.18 $0.42 / $0.84
Cached input $0.015825/1M to $0.1055/1M Not published
Context window 131K 131,072 tokens 33K 32,768 tokens
First token, p50 0.63 s via Telnyx 6.9 s via Featherless AI
AI IQ IQ 98 #136 on AI IQ Unrated
Provider routes 24 with failover 1
Privacy Confidential E2EE and zero retention route Zero retention route
Recent route uptime range 100.00% 100.00%
Publisher OpenAI Alibaba Cloud Model Studio
Modes chat chat
More detail

Price adds one million input and one million output tokens on the cheapest route. Prices and speed change: see the monthly reports and run a small eval before you choose a default.

Test both with your agent

Paste this into Claude Code, Cursor or any coding agent.

Compare gpt-oss-120b and Qwen/Qwen3-4B-Instruct-2507 in this project through TrustedRouter.

1. Read https://trustedrouter.com/docs/llms.txt
2. Point the OpenAI-compatible client at
   https://api.trustedrouter.com/v1 and read the key from
   TRUSTEDROUTER_API_KEY.
3. Run our eval prompts on openai/gpt-oss-120b, then on qwen/qwen3-4b-instruct-2507.
4. Show me cost, latency and quality side by side before changing the default.
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.trustedrouter.com/v1",
    api_key=os.environ["TRUSTEDROUTER_API_KEY"],
)
for model in ("openai/gpt-oss-120b", "qwen/qwen3-4b-instruct-2507"):
    response = client.chat.completions.create(
        model=model,
        messages=[{"role": "user", "content": "What is the capital of France?"}],
    )
    print(model, response.choices[0].message.content)
for model in openai/gpt-oss-120b qwen/qwen3-4b-instruct-2507; do
  curl https://api.trustedrouter.com/v1/chat/completions \
    -H "Authorization: Bearer $TRUSTEDROUTER_API_KEY" \
    -H "Content-Type: application/json" \
    -d "{\"model\": \"$model\", \"messages\": [{\"role\": \"user\", \"content\": \"What is the capital of France?\"}]}"
done
Your agent will need an API key.

Questions

Which should I use, OpenAI: gpt-oss-120b or Qwen/Qwen3-4B-Instruct-2507?

gpt-oss-120b 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 OpenAI: gpt-oss-120b or Qwen/Qwen3-4B-Instruct-2507 cheaper?

The current cheapest TrustedRouter route is $0.211/1M for OpenAI: gpt-oss-120b and $1.266/1M for Qwen/Qwen3-4B-Instruct-2507. The comparison uses current catalog prices and updates as provider pricing changes.

Is OpenAI: gpt-oss-120b or Qwen/Qwen3-4B-Instruct-2507 faster?

Current measured p50 time to first token is 629 ms for OpenAI: gpt-oss-120b and 6937 ms for Qwen/Qwen3-4B-Instruct-2507. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test OpenAI: gpt-oss-120b and Qwen/Qwen3-4B-Instruct-2507 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/qwen3-4b-instruct-2507. This makes side-by-side evals possible without maintaining two provider integrations.

More comparisons

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Try gpt-oss-120b and Qwen/Qwen3-4B-Instruct-2507 with one key.

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.

No card required. Start with 1 million free tokens.

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