Nemotron 3.5 Super 120B A12B vs Viv Fast vs MiniMax-M3.1-Flash
Too close to call on our weighted score (Viv Fast 73, MiniMax-M3.1-Flash 70, Nemotron 3.5 Super 120B A12B 59). The right pick depends on what you value most.
NVIDIANemotron 3.5 Super 120B A12B
59/100- ECI—
- Price$0.20 / $0.50
- Context1.05M
VivgridViv Fast
73/100- ECI—
- Price$0.13 / $0.40
- Context1M
MiniMaxMiniMax-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 3 points (Viv Fast 73/100, MiniMax-M3.1-Flash 70/100, Nemotron 3.5 Super 120B A12B 59/100), so choose by what matters most for your work: Viv Fast on price and Nemotron 3.5 Super 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 priceViv FastViv Fast $0.198 · MiniMax-M3.1-Flash $0.263 · Nemotron 3.5 Super 120B A12B $0.275 per 1M tokens (3:1 blend)
- Longest contextNemotron 3.5 Super 120B A12BNemotron 3.5 Super 120B A12B 1,048,576 · Viv Fast 1,000,000 · MiniMax-M3.1-Flash 1,000,000 tokens
- Widest inputsMiniMax-M3.1-FlashNemotron 3.5 Super 120B A12B: Text · Viv Fast: Text, Images · MiniMax-M3.1-Flash: Text, Images, Video
- Self-hostingNemotron 3.5 Super 120B A12BPublishes downloadable weights
| Measure | Weight | Nemotron 3.5 Super 120B A12B | Viv Fast | MiniMax-M3.1-Flash |
|---|---|---|---|---|
| Price | 50% | 73 | 80 | 74 |
| Inputs & features | 30% | 35 | 70 | 70 |
| Context window | 20% | 61 | 60 | 60 |
| Overall | 100% | 59/100 | 73/100 | 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 | Nemotron 3.5 Super 120B A12BNVIDIA | Viv FastVivgrid | MiniMax-M3.1-FlashMiniMax |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.20 | $0.13 (best) | $0.15 |
| Output | $0.50 | $0.40 (best) | $0.60 |
| Cached input | — | $0.05 | $0.015 (best) |
| Blended (3:1) | $0.275 | $0.198 (best) | $0.263 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 1 providers | Official Vivgrid API | Official MiniMax (minimax.io) API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 1,000,000 tokens | 1,000,000 tokens |
| Max output | 131,072 tokens | 256,000 tokens | 512,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | Yes | Yeslow · high · max | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | — | viv-fast | MiniMax-M3.1-Flash |
| API providers | 1 | 1 | 25 (best) |
| Released | Oct 15, 2026 | Sep 21, 2026 | Oct 19, 2026 |
| Knowledge cutoff | — | Sep 2026 | — |
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 120B A12B$3.00
- Viv Fast$2.10
- MiniMax-M3.1-Flash$2.70
Which should you choose?
Which is better: Nemotron 3.5 Super 120B A12B, Viv Fast or MiniMax-M3.1-Flash?
It is close. Our weighted score puts them within 3 points (Viv Fast 73/100, MiniMax-M3.1-Flash 70/100, Nemotron 3.5 Super 120B A12B 59/100), so choose by what matters most for your work: Viv Fast on price and Nemotron 3.5 Super 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 120B A12B, Viv Fast or MiniMax-M3.1-Flash?
Viv Fast is cheaper at $0.13 input / $0.40 output per million tokens (official Vivgrid API price). MiniMax-M3.1-Flash costs $0.15 input / $0.60 output per million tokens (official MiniMax (minimax.io) API price); Nemotron 3.5 Super 120B A12B costs $0.20 input / $0.50 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.198 per million tokens for Viv Fast versus $0.263 for MiniMax-M3.1-Flash (1.3× as much) and $0.275 for Nemotron 3.5 Super 120B A12B (1.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Nemotron 3.5 Super 120B A12B has not been scored yet, Viv Fast 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 120B A12B, Viv Fast 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 120B A12B has the largest context window at 1,048,576 tokens, against 1,000,000 for Viv Fast and 1,000,000 for MiniMax-M3.1-Flash. Maximum output per response: Nemotron 3.5 Super 120B A12B up to 131,072, Viv Fast up to 256,000, MiniMax-M3.1-Flash up to 512,000 tokens.
Which can read images, PDFs, audio or video?
Nemotron 3.5 Super 120B A12B accepts text; Viv Fast accepts text and images; MiniMax-M3.1-Flash accepts text, images and video. MiniMax-M3.1-Flash handles the widest range of inputs.
Are any of these open source?
Nemotron 3.5 Super 120B A12B publishes its weights and can be self-hosted; Viv Fast and MiniMax-M3.1-Flash is proprietary.
Which is newer?
MiniMax-M3.1-Flash is the newest, released Oct 19, 2026. Nemotron 3.5 Super 120B A12B came out Oct 15, 2026; Viv Fast came out Sep 21, 2026. Knowledge cutoff: Viv Fast Sep 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.
