Nemotron 3.5 Lightning vs GLM 5.3 Flash

Practical read: GLM 5.3 Flash 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:

NVIDIA: Nemotron 3.5 Lightning compared with Z.ai: GLM 5.3 Flash
Attribute	Nemotron 3.5 Lightning `nvidia/nemotron-3.5-lightning`	GLM 5.3 Flash `z-ai/glm-5.3-flash`
Price, 1M in + out	$0.23 DeepInfra, cheapest route	$0.26 Wafer, cheapest route
Best for		Long documents and speed
Input / output, 1M	$0.063 / $0.17	$0.053 / $0.21
Cached input	$0.01055/1M to $0.03165/1M	$0.015825/1M to $0.079125/1M
Context window	262K 262,144 tokens	1.05M 1,048,576 tokens
First token, p50	0.74 s via Fireworks AI	0.72 s via FriendliAI
AI IQ	Unrated	IQ 119 #50 on AI IQ
Provider routes	3 with failover	32 with failover
Privacy	Varies by provider	Confidential E2EE and zero retention route
Recent route uptime range	100.00%	0.00% to 100.00%
Publisher	NVIDIA	Z.AI
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 3.5 Lightning and GLM 5.3 Flash 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-3.5-lightning, then on z-ai/glm-5.3-flash.
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-3.5-lightning", "z-ai/glm-5.3-flash"):
    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-3.5-lightning z-ai/glm-5.3-flash; 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 3.5 Lightning or Z.ai: GLM 5.3 Flash?

NVIDIA: Nemotron 3.5 Lightning has the lower published input-plus-output rate. Z.ai: GLM 5.3 Flash has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

Is NVIDIA: Nemotron 3.5 Lightning or Z.ai: GLM 5.3 Flash cheaper?

The current cheapest TrustedRouter route is $0.2321/1M for NVIDIA: Nemotron 3.5 Lightning and $0.26375/1M for Z.ai: GLM 5.3 Flash. The comparison uses current catalog prices and updates as provider pricing changes.

Is NVIDIA: Nemotron 3.5 Lightning or Z.ai: GLM 5.3 Flash faster?

Current measured p50 time to first token is 740 ms for NVIDIA: Nemotron 3.5 Lightning and 719 ms for Z.ai: GLM 5.3 Flash. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test NVIDIA: Nemotron 3.5 Lightning and Z.ai: GLM 5.3 Flash 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-3.5-lightning and z-ai/glm-5.3-flash. This makes side-by-side evals possible without maintaining two provider integrations.

More comparisons

All comparisons

Try Nemotron 3.5 Lightning and GLM 5.3 Flash 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.