MiMo-V2.6-Flash vs Nemotron 3.5 Super 120B A12B vs Viv Fast
MiMo-V2.6-Flash comes out ahead, 80 to 73 and 59 on our weighted score, and it is the cheaper option too.
- Our pick
XiaomiMiMo-V2.6-Flash
80/100- ECI—
- Price$0.14 / $0.28
- Context1.05M
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
MiMo-V2.6-Flash is our pick
MiMo-V2.6-Flash is the better all-round choice, scoring 80/100 against Viv Fast (73) and Nemotron 3.5 Super 120B A12B (59). It leads on price and inputs & features. 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 priceMiMo-V2.6-FlashMiMo-V2.6-Flash $0.175 · Viv Fast $0.198 · Nemotron 3.5 Super 120B A12B $0.275 per 1M tokens (3:1 blend)
- Longest contextMiMo-V2.6-Flash and Nemotron 3.5 Super 120B A12BMiMo-V2.6-Flash 1,048,576 · Nemotron 3.5 Super 120B A12B 1,048,576 · Viv Fast 1,000,000 tokens
- Widest inputsMiMo-V2.6-FlashMiMo-V2.6-Flash: Text, Images, Audio, Video · Nemotron 3.5 Super 120B A12B: Text · Viv Fast: Text, Images
- Self-hostingMiMo-V2.6-Flash and Nemotron 3.5 Super 120B A12BPublishes downloadable weights
| Measure | Weight | MiMo-V2.6-Flash | Nemotron 3.5 Super 120B A12B | Viv Fast |
|---|---|---|---|---|
| Price | 50% | 82 | 73 | 80 |
| Inputs & features | 30% | 90 | 35 | 70 |
| Context window | 20% | 61 | 61 | 60 |
| Overall | 100% | 80/100 | 59/100 | 73/100 |
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 | MiMo-V2.6-FlashXiaomi | Nemotron 3.5 Super 120B A12BNVIDIA | Viv FastVivgrid |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.14 | $0.20 | $0.13 (best) |
| Output | $0.28 (best) | $0.50 | $0.40 |
| Cached input | $0.0028 (best) | — | $0.05 |
| Blended (3:1) | $0.175 (best) | $0.275 | $0.198 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Xiaomi API | Median of 1 providers | Official Vivgrid API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 1,048,576 tokens (best) | 1,000,000 tokens |
| Max output | 131,072 tokens | 131,072 tokens | 256,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | Yes | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | Yes | Yeslow · high · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | mimo-v2.6-flash | — | viv-fast |
| API providers | 23 (best) | 1 | 1 |
| Released | Sep 22, 2026 | Oct 15, 2026 | Sep 21, 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.
- MiMo-V2.6-Flash$1.96
- Nemotron 3.5 Super 120B A12B$3.00
- Viv Fast$2.10
Which should you choose?
Which is better: MiMo-V2.6-Flash, Nemotron 3.5 Super 120B A12B or Viv Fast?
MiMo-V2.6-Flash is the better all-round choice, scoring 80/100 against Viv Fast (73) and Nemotron 3.5 Super 120B A12B (59). It leads on price and inputs & features. 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, MiMo-V2.6-Flash, Nemotron 3.5 Super 120B A12B or Viv Fast?
MiMo-V2.6-Flash is cheaper at $0.14 input / $0.28 output per million tokens (official Xiaomi API price). Viv Fast costs $0.13 input / $0.40 output per million tokens (official Vivgrid 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 $0.175 per million tokens for MiMo-V2.6-Flash versus $0.198 for Viv Fast (1.1× as much) and $0.275 for Nemotron 3.5 Super 120B A12B (1.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. MiMo-V2.6-Flash has not been scored yet, Nemotron 3.5 Super 120B A12B has not been scored yet and Viv Fast has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for MiMo-V2.6-Flash, Nemotron 3.5 Super 120B A12B and Viv Fast 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?
MiMo-V2.6-Flash and Nemotron 3.5 Super 120B A12B have the largest context windows (1,048,576 and 1,048,576 tokens), against 1,000,000 for Viv Fast. Maximum output per response: MiMo-V2.6-Flash up to 131,072, Nemotron 3.5 Super 120B A12B up to 131,072, Viv Fast up to 256,000 tokens.
Which can read images, PDFs, audio or video?
MiMo-V2.6-Flash accepts text, images, audio and video; Nemotron 3.5 Super 120B A12B accepts text; Viv Fast accepts text and images. MiMo-V2.6-Flash handles the widest range of inputs.
Are any of these open source?
MiMo-V2.6-Flash and Nemotron 3.5 Super 120B A12B publishes its weights and can be self-hosted; Viv Fast is proprietary.
Which is newer?
Nemotron 3.5 Super 120B A12B is the newest, released Oct 15, 2026. MiMo-V2.6-Flash came out Sep 22, 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.
