Which is cheaper, Nemotron 3.5 Super VL and Grok 4.7?

Nemotron 3.5 Super VL has the lowest input price. Per 1M input tokens: Nemotron 3.5 Super VL from $0.15 and Grok 4.7 from $2.00.

Which has the larger context window, Nemotron 3.5 Super VL and Grok 4.7?

Grok 4.7 has the largest context window: Nemotron 3.5 Super VL 262,144 tokens and Grok 4.7 500,000 tokens.

Can I switch between Nemotron 3.5 Super VL and Grok 4.7 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, x-ai/grok-4.7).

Nemotron 3.5 Super VL vs Grok 4.7

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

Grok 4.7 xAIx-ai/grok-4.7

Creator

NVIDIA

xAI

Released

Sep 16, 2026

Sep 21, 2026

Context window

262K

500K

Max output

131K

500K

Input / 1MLowest provider price

$0.15

$2.00

Output / 1MLowest provider price

$0.50

$6.00

Providers

IntelligenceArtificial Analysis index

13.6

35.2

Accepts

Text, Image, Video

Text, Image

Produces

Text

Tool calling

Yes

Structured output

Yes

Reasoning

Yes

Nemotron 3.5 Super VL vs Grok 4.7: summary

Nemotron 3.5 Super VL and Grok 4.7 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.

Grok 4.7, from xAI, has a 500,000-token context window, costs $2.00/1M input and $6.00/1M output tokens and scores 35.2 on the Artificial Analysis Intelligence Index.

Nemotron 3.5 Super VL is the cheapest on input, 13× cheaper than the next model, Grok 4.7 has the largest context window and Grok 4.7 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="x-ai/grok-4.7", messages=[...])

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Benchmark scores sourced from ArtificialAnalysis