Nemotron 3 Super vs gpt-oss-120b

Practical read: Nemotron 3 Super reads two times more context. gpt-oss-120b costs about half as much. One API key runs both.

No card required. Start with 1 million free tokens.

Side by side:

NVIDIA: Nemotron 3 Super compared with OpenAI: gpt-oss-120b
Attribute	Nemotron 3 Super `nvidia/nemotron-3-super-120b-a12b`	gpt-oss-120b `openai/gpt-oss-120b`
Price, 1M in + out	$0.50 DeepInfra, cheapest route	$0.21 Weights & Biases, cheapest route
Best for	Long documents	Low cost
Input / output, 1M	$0.079 / $0.42	$0.032 / $0.18
Cached input	$0.0633/1M	$0.015825/1M to $0.1055/1M
Context window	262K 262,144 tokens	131K 131,072 tokens
First token, p50	Measuring	0.63 s via Telnyx
AI IQ	Unrated	IQ 98 #136 on AI IQ
Provider routes	3 with failover	24 with failover
Privacy	Varies by provider	Confidential E2EE and zero retention route
Recent route uptime range	100.00%	100.00%
Publisher	NVIDIA	OpenAI
Modes	chat	chat
More detail	Overview Pricing Providers	Overview Pricing Providers

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 Nemotron 3 Super and gpt-oss-120b 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 nvidia/nemotron-3-super-120b-a12b, then on openai/gpt-oss-120b.
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 ("nvidia/nemotron-3-super-120b-a12b", "openai/gpt-oss-120b"):
    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 nvidia/nemotron-3-super-120b-a12b openai/gpt-oss-120b; 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, NVIDIA: Nemotron 3 Super or OpenAI: gpt-oss-120b?

NVIDIA: Nemotron 3 Super has the larger context window. gpt-oss-120b has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed.

Is NVIDIA: Nemotron 3 Super or OpenAI: gpt-oss-120b cheaper?

The current cheapest TrustedRouter route is $0.501125/1M for NVIDIA: Nemotron 3 Super and $0.211/1M for OpenAI: gpt-oss-120b. The comparison uses current catalog prices and updates as provider pricing changes.

Is NVIDIA: Nemotron 3 Super or OpenAI: gpt-oss-120b faster?

Current measured p50 time to first token is not enough data for NVIDIA: Nemotron 3 Super and 629 ms for OpenAI: gpt-oss-120b. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test NVIDIA: Nemotron 3 Super and OpenAI: gpt-oss-120b with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between nvidia/nemotron-3-super-120b-a12b and openai/gpt-oss-120b. This makes side-by-side evals possible without maintaining two provider integrations.

More comparisons

All comparisons

Try Nemotron 3 Super and gpt-oss-120b 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.