GLM 5.3 Flash vs Nvidia Nemotron 3.5 Super VL 120B A12B
As of November 12, 2026, GLM 5.3 Flash and Nvidia Nemotron 3.5 Super VL 120B A12B cost the same: $0.15 per 1M input tokens and $0.50 per 1M output tokens. Nvidia Nemotron 3.5 Super VL 120B A12B has the larger context window: 1,049,000 tokens versus 1,048,576.
GLM 5.3 Flash vs Nvidia Nemotron 3.5 Super VL 120B A12B side by side
| GLM 5.3 Flash | Nvidia Nemotron 3.5 Super VL 120B A12B | |
|---|---|---|
| Input, per 1M tokens | $0.15 | $0.15 |
| Output, per 1M tokens | $0.50 | $0.50 |
| Cache read, per 1M tokens | $0.03 | $0.02 |
| Cache write, per 1M tokens | $0 | – |
| Context window | 1,048,576 tokens | 1,049,000 tokens |
| Max output | 128,000 tokens | 943,718 tokens |
| Image input | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output (JSON) | Yes | Yes |
| Prompt caching | Yes | Yes |
| Reasoning | Yes | Yes |
| Providers on LiteLLM | 24 | 3 |
| Price shown is from | Z.ai | Weights & Biases |
| Added to LiteLLM | August 27, 2026 | October 16, 2026 |
Cheapest provider for each
- GLM 5.3 Flash: CLF AI Gateway at $0.06 input and $0.20 output per 1M tokens (
clf_ai_gateway/glm-5.3-flash) - Nvidia Nemotron 3.5 Super VL 120B A12B: Weights & Biases at $0.15 input and $0.50 output per 1M tokens (
wandb/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B)
When to pick which
Pick GLM 5.3 Flash for
- Available from 24 providers through LiteLLM, vs 3.
Pick Nvidia Nemotron 3.5 Super VL 120B A12B for
- Returns up to 943,718 tokens per response, vs 128,000.
From differences in the data above only; where the data is equal, no reason is given.
Call GLM 5.3 Flash or Nvidia Nemotron 3.5 Super VL 120B A12B with LiteLLM
Both use the OpenAI format through LiteLLM, so switching is a model name change. Set each provider's API key in the environment first.
from litellm import completion
messages = [{"role": "user", "content": "Hello!"}]
# GLM 5.3 Flash
response = completion(model="zai/glm-5.3-flash", messages=messages)
# Nvidia Nemotron 3.5 Super VL 120B A12B
response = completion(model="wandb/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B", messages=messages)
# GLM 5.3 Flash, falling back to Nvidia Nemotron 3.5 Super VL 120B A12B if the call fails
response = completion(model="zai/glm-5.3-flash", messages=messages, fallbacks=["wandb/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B"])FAQ
Which is cheaper, GLM 5.3 Flash or Nvidia Nemotron 3.5 Super VL 120B A12B?
They cost the same: $0.15 per 1M input tokens and $0.50 per 1M output tokens, as of November 12, 2026.
Which has the larger context window, GLM 5.3 Flash or Nvidia Nemotron 3.5 Super VL 120B A12B?
Nvidia Nemotron 3.5 Super VL 120B A12B has the larger context window: 1,049,000 tokens, versus 1,048,576 for GLM 5.3 Flash.
Can I switch from GLM 5.3 Flash to Nvidia Nemotron 3.5 Super VL 120B A12B without changing my code?
Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "zai/glm-5.3-flash" to "wandb/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.