Model comparisons
Ling 3.1 Flash bills 55% less than Nemotron 3.5 Super VL per million output tokens. Tier prices, request fields and limits side by side.
Ling 3.1 Flash is a hybrid-reasoning mixture-of-experts model from inclusionAI, released on 29 September 2026. The publisher describes it as 560B parameters in total with 25B active per token. Here it is one OpenAI-compatible chat endpoint: up to 262,144 tokens of text in, up to 262,144 tokens out, tools and streaming on every request.
View model details →View sample outputs →Nemotron 3.5 Super VL is NVIDIA's vision-language model, released on 15 October 2026 with 120B total and 12B active parameters. Here it is one chat endpoint that takes text, images and video, reads up to 262,144 tokens of input, and returns up to 262,144 tokens per reply with tools, streaming and optional reasoning.
View model details →View sample outputs →Compare
Start with the input you have, the result you want and your budget. These are the differences that affect that choice.
Compare the published examples, then try the same input on both models with matching settings.
The Spicy Index and Freedom Score for both models, from the same daily calculation as the leaderboards.
| Measure | Ling 3.1 Flash | Nemotron 3.5 Super VL |
|---|---|---|
| Spicy Index | 76.7 | 76.8 |
| Freedom Score | Not yet tested | Not yet tested |
| Evidence | — | — |
| Range if the rest pass | — | — |
| Price | $0.113 per 1M mixed tokens (3 input : 1 output) | $0.275 per 1M mixed tokens (3 input : 1 output) |
| Reviews | Read the Ling 3.1 Flash review | Read the Nemotron 3.5 Super VL review |
Preliminary · freedom evidence pending
See both on the leaderboard →Current price
A start price answers a different question than the one you have. These are the tiers both models publish, matched setting for setting, in US dollars per billed unit with no conversion step in between.
Swipe horizontally to compare all fields.
| Tier | Ling 3.1 Flash | Nemotron 3.5 Super VL | Difference |
|---|---|---|---|
| Input | $0.075 / 1 million tokens | $0.2 / 1 million tokens | Ling 3.1 Flash −62% |
| Cached input | $0.075 / 1 million tokens | $0.04 / 1 million tokens | Nemotron 3.5 Super VL −46% |
| Output | $0.225 / 1 million tokens | $0.5 / 1 million tokens | Ling 3.1 Flash −55% |
Arithmetic on the published rates at each model's own default setting, not a quote. The console prices your actual settings before a request is accepted.
About this comparison
Every row here is read from the JSON Schema the endpoint validates against, so it matches what the API will really accept rather than a feature list written by hand.
Swipe horizontally to compare all fields.
| Controls and limits | Ling 3.1 Flash | Nemotron 3.5 Super VL |
|---|---|---|
| Supported tasks | chat | chat |
| Input context | 262,144 tokens | 262,144 tokens |
| Maximum output | 262,144 tokens | 262,144 tokens |
| Tool calling | Yes | Yes |
| Execution | Synchronous, with streaming | Synchronous, with streaming |
| Request timeout | 10 minutes | 10 minutes |
| Availability | Live | Live |
Can I swap the model ID without changing the request body?
The task lifecycle is shared; the body is not. Each endpoint publishes its own JSON Schema and the API validates against that, so this is the list to reconcile before a switch.
Compare
The model identifiers are inclusionai/ling-3.1-flash/chat and nvidia/nemotron-3.5-super-vl/chat, and both go in the same field of the same request.
Both return the response on the chat request. With streaming enabled, read the stream until it finishes; there is no media task to poll.
Both use the same submit-and-track flow, but their required inputs may differ. Check each model page before switching.
One key, one balance, one set of spend caps. Both bill to the same account in US dollars, and the per-key daily, monthly and lifetime limits apply to whichever one you call.
Questions developers ask
Ling 3.1 Flash costs 55% less per million output tokens. Compare the input and cache rates below for longer conversations. Prices may change; check the estimate shown for your actual settings before submitting.
Ling 3.1 Flash allows 10 minutes per task and Nemotron 3.5 Super VL allows 10. Those are ceilings rather than typical times — most requests finish far sooner — but they are what your own client timeout has to survive.
Prices and capabilities shown here come from the current public model catalogue. Check each model page for its latest inputs and examples.