Nemotron 3.5 Super VL 120B A12B vs Ling 3.0 Flash vs MiniMax-M3.1-Flash
Too close to call on our weighted score (Nemotron 3.5 Super VL 120B A12B 71, MiniMax-M3.1-Flash 70, Ling 3.0 Flash 65). The right pick depends on what you value most.
NVIDIA
Nemotron 3.5 Super VL 120B A12B
71/100- ECI—
- Price$0.15 / $0.50
- Context1.05M
inclusionAI
Ling 3.0 Flash
65/100- ECI—
- Price$0.06 / $0.18
- Context262K
MiniMax
MiniMax-M3.1-Flash
70/100- ECI—
- Price$0.15 / $0.60
- Context1M
Too close to call
It is close. Our weighted score puts them within 1 points (Nemotron 3.5 Super VL 120B A12B 71/100, MiniMax-M3.1-Flash 70/100, Ling 3.0 Flash 65/100), so choose by what matters most for your work: Ling 3.0 Flash on price and Nemotron 3.5 Super VL 120B A12B for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceLing 3.0 FlashLing 3.0 Flash $0.09 · Nemotron 3.5 Super VL 120B A12B $0.237 · MiniMax-M3.1-Flash $0.263 per 1M tokens (3:1 blend)
- Longest contextNemotron 3.5 Super VL 120B A12BNemotron 3.5 Super VL 120B A12B 1,048,576 · MiniMax-M3.1-Flash 1,000,000 · Ling 3.0 Flash 262,144 tokens
- Widest inputsNemotron 3.5 Super VL 120B A12B and MiniMax-M3.1-FlashNemotron 3.5 Super VL 120B A12B: Text, Images, Video · Ling 3.0 Flash: Text · MiniMax-M3.1-Flash: Text, Images, Video
- Self-hostingNemotron 3.5 Super VL 120B A12B and Ling 3.0 FlashPublishes downloadable weights (MIT)
| Measure | Weight | Nemotron 3.5 Super VL 120B A12B | Ling 3.0 Flash | MiniMax-M3.1-Flash |
|---|---|---|---|---|
| Price | 50% | 76 | 95 | 74 |
| Inputs & features | 30% | 70 | 35 | 70 |
| Context window | 20% | 61 | 37 | 60 |
| Overall | 100% | 71/100 | 65/100 | 70/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.15 | $0.06 (best) | $0.15 |
| Output | $0.50 | $0.18 (best) | $0.60 |
| Cached input | — | — | $0.015 |
| Blended (3:1) | $0.237 | $0.09 (best) | $0.263 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 11 providers | Median of 7 providers | Official MiniMax (minimax.io) API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 262,144 tokens | 1,000,000 tokens |
| Max output | 8,192 tokens | 32,768 tokens | 512,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | Yes | No | Yes |
| Reasoning | Yes | Yes | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | OpenMIT | Proprietary |
| API model ID | nvidia/nemotron-3.5-super-vl-120b-a12b | — | MiniMax-M3.1-Flash |
| API providers | 13 | 9 | 25 (best) |
| Released | Oct 15, 2026 | Jul 23, 2026 | Oct 19, 2026 |
| Knowledge cutoff | — | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Nemotron 3.5 Super VL 120B A12B$2.50
Ling 3.0 Flash$0.96
MiniMax-M3.1-Flash$2.70
Which should you choose?
Which is better: Nemotron 3.5 Super VL 120B A12B, Ling 3.0 Flash or MiniMax-M3.1-Flash?
It is close. Our weighted score puts them within 1 points (Nemotron 3.5 Super VL 120B A12B 71/100, MiniMax-M3.1-Flash 70/100, Ling 3.0 Flash 65/100), so choose by what matters most for your work: Ling 3.0 Flash on price and Nemotron 3.5 Super VL 120B A12B for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Nemotron 3.5 Super VL 120B A12B, Ling 3.0 Flash or MiniMax-M3.1-Flash?
Ling 3.0 Flash is cheaper at $0.06 input / $0.18 output per million tokens (median across 7 API providers). Nemotron 3.5 Super VL 120B A12B costs $0.15 input / $0.50 output per million tokens (median across 11 API providers; free on Nvidia); MiniMax-M3.1-Flash costs $0.15 input / $0.60 output per million tokens (official MiniMax (minimax.io) API price). At a typical mix of three input tokens to one output token, that is $0.09 per million tokens for Ling 3.0 Flash versus $0.237 for Nemotron 3.5 Super VL 120B A12B (2.6× as much) and $0.263 for MiniMax-M3.1-Flash (2.9× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Nemotron 3.5 Super VL 120B A12B has not been scored yet, Ling 3.0 Flash has not been scored yet and MiniMax-M3.1-Flash has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Nemotron 3.5 Super VL 120B A12B, Ling 3.0 Flash and MiniMax-M3.1-Flash yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Nemotron 3.5 Super VL 120B A12B has the largest context window at 1,048,576 tokens, against 1,000,000 for MiniMax-M3.1-Flash and 262,144 for Ling 3.0 Flash. Maximum output per response: Nemotron 3.5 Super VL 120B A12B up to 8,192, Ling 3.0 Flash up to 32,768, MiniMax-M3.1-Flash up to 512,000 tokens.
Which can read images, PDFs, audio or video?
Nemotron 3.5 Super VL 120B A12B accepts text, images and video; Ling 3.0 Flash accepts text; MiniMax-M3.1-Flash accepts text, images and video. Nemotron 3.5 Super VL 120B A12B handles the widest range of inputs.
Are any of these open source?
Nemotron 3.5 Super VL 120B A12B and Ling 3.0 Flash publishes its weights (MIT) and can be self-hosted; MiniMax-M3.1-Flash is proprietary.
Which is newer?
MiniMax-M3.1-Flash is the newest, released Oct 19, 2026. Nemotron 3.5 Super VL 120B A12B came out Oct 15, 2026; Ling 3.0 Flash came out Jul 23, 2026.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.