Which is cheaper, Ling 3.1 Flash and Nemotron 3.5 Super VL?

Ling 3.1 Flash has the lowest input price. Per 1M input tokens: Ling 3.1 Flash from $0.07 and Nemotron 3.5 Super VL from $0.15.

Can I switch between Ling 3.1 Flash and Nemotron 3.5 Super VL 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 (inclusionai/ling-3.1-flash, nvidia/nemotron-3.5-super-vl).

Ling 3.1 Flash vs Nemotron 3.5 Super VL

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

Estimate monthly cost for these models

Ling 3.1 Flash inclusionAIinclusionai/ling-3.1-flash

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

Creator

inclusionAI

NVIDIA

Released

Oct 2, 2026

Sep 16, 2026

Context window

262K

Input / 1MLowest provider price

$0.07

$0.15

Output / 1MLowest provider price

$0.22

$0.50

Providers

IntelligenceArtificial Analysis index

29.6

13.6

Accepts

Text

Text, Image, Video

Produces

Text

Tool calling

Yes

Structured output

Yes

Reasoning

Yes

Ling 3.1 Flash vs Nemotron 3.5 Super VL: summary

Ling 3.1 Flash and Nemotron 3.5 Super VL are both available through FastRouter's OpenAI-compatible API, so switching between them is a change of model id, not a new integration.

Ling 3.1 Flash, from inclusionAI, has a 262,144-token context window, costs $0.07/1M input and $0.22/1M output tokens and scores 29.6 on the Artificial Analysis Intelligence Index.

Nemotron 3.5 Super VL, from NVIDIA, has a 262,144-token context window, costs from $0.15/1M input and $0.50/1M output tokens across 2 providers and scores 13.6 on the Artificial Analysis Intelligence Index.

Ling 3.1 Flash is the cheapest on input, 2.1× cheaper than the next model and Ling 3.1 Flash 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="inclusionai/ling-3.1-flash", messages=[...]) # or client.chat.completions.create(model="nvidia/nemotron-3.5-super-vl", messages=[...])

Full API docs

Frequently asked questions

More comparisons

Benchmark scores sourced from ArtificialAnalysis