Which is cheaper, Nemotron 3.5 Super VL and GLM-5.3?

Nemotron 3.5 Super VL has the lowest input price. Per 1M input tokens: Nemotron 3.5 Super VL from $0.15 and GLM-5.3 from $0.56.

Which has the larger context window, Nemotron 3.5 Super VL and GLM-5.3?

GLM-5.3 has the largest context window: Nemotron 3.5 Super VL 262,144 tokens and GLM-5.3 1,048,576 tokens.

Can I switch between Nemotron 3.5 Super VL and GLM-5.3 without changing my code?

Yes. All of them are served through FastRouter's OpenAI-compatible API, so switching is a change of the model parameter (nvidia/nemotron-3.5-super-vl, z-ai/glm-5.3).

Nemotron 3.5 Super VL vs GLM-5.3

Side-by-side pricing per provider, context window, benchmark scores and speed, all on one OpenAI-compatible API.

Estimate monthly cost for these models

Nemotron 3.5 Super VL NVIDIAnvidia/nemotron-3.5-super-vl

GLM-5.3 Z.aiz-ai/glm-5.3

Creator

NVIDIA

Z.ai

Released

Sep 16, 2026

Aug 18, 2026

Context window

262K

1.05M

Max output

131K

Input / 1MLowest provider price

$0.15

$0.56$0.56–$1.40 across 5

Output / 1MLowest provider price

$0.50

$2.48$2.48–$4.40 across 5

Providers

IntelligenceArtificial Analysis index

13.6

31.7

Accepts

Text, Image, Video

Text

Produces

Text

Tool calling

Yes

Structured output

Yes

Reasoning

Yes

Nemotron 3.5 Super VL vs GLM-5.3: summary

Nemotron 3.5 Super VL and GLM-5.3 are both available through FastRouter's OpenAI-compatible API, so switching between them is a change of model id, not a new integration.

Nemotron 3.5 Super VL, from NVIDIA, has a 262,144-token context window, costs $0.15/1M input and $0.50/1M output tokens and scores 13.6 on the Artificial Analysis Intelligence Index.

GLM-5.3, from Z.ai, has a 1,048,576-token context window, costs from $0.56/1M input and $2.48/1M output tokens across 5 providers and scores 31.7 on the Artificial Analysis Intelligence Index.

Nemotron 3.5 Super VL is the cheapest on input, 3.7× cheaper than the next model, GLM-5.3 has the largest context window and GLM-5.3 scores highest for intelligence.

Switch with one line

client = OpenAI(base_url="https://api.fastrouter.ai/api/v1", api_key="<FASTROUTER_API_KEY>") client.chat.completions.create(model="nvidia/nemotron-3.5-super-vl", messages=[...]) # or client.chat.completions.create(model="z-ai/glm-5.3", messages=[...])

Full API docs

Frequently asked questions

More comparisons

Benchmark scores sourced from ArtificialAnalysis