Qwen3.8 Omni Flash vs Nemotron 3.5 Super VL 120B A12B vs Viv Fast
Qwen3.8 Omni Flash comes out ahead, 77 to 73 and 71 on our weighted score, though Viv Fast is 14% cheaper per token.
- Our pick
Alibaba (Qwen)Qwen3.8 Omni Flash
77/100- ECI—
- Price$0.15 / $0.47
- Context1M
NVIDIANemotron 3.5 Super VL 120B A12B
71/100- ECI—
- Price$0.15 / $0.50
- Context1.05M
VivgridViv Fast
73/100- ECI—
- Price$0.13 / $0.40
- Context1M
Qwen3.8 Omni Flash is our pick
Qwen3.8 Omni Flash is the better all-round choice, scoring 77/100 against Viv Fast (73) and Nemotron 3.5 Super VL 120B A12B (71). It leads on inputs & features. Viv Fast wins on price. 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 · Qwen3.8 Omni Flash $0.23 · Nemotron 3.5 Super VL 120B A12B $0.237 per 1M tokens (3:1 blend)
- Longest contextNemotron 3.5 Super VL 120B A12BNemotron 3.5 Super VL 120B A12B 1,048,576 · Qwen3.8 Omni Flash 1,000,000 · Viv Fast 1,000,000 tokens
- Widest inputsQwen3.8 Omni FlashQwen3.8 Omni Flash: Text, Images, Audio, Video · Nemotron 3.5 Super VL 120B A12B: Text, Images, Video · Viv Fast: Text, Images
- Self-hostingNemotron 3.5 Super VL 120B A12BPublishes downloadable weights
| Measure | Weight | Qwen3.8 Omni Flash | Nemotron 3.5 Super VL 120B A12B | Viv Fast |
|---|---|---|---|---|
| Price | 50% | 77 | 76 | 80 |
| Inputs & features | 30% | 90 | 70 | 70 |
| Context window | 20% | 60 | 61 | 60 |
| Overall | 100% | 77/100 | 71/100 | 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 | Qwen3.8 Omni FlashAlibaba (Qwen) | Nemotron 3.5 Super VL 120B A12BNVIDIA | Viv FastVivgrid |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.15 | $0.15 | $0.13 (best) |
| Output | $0.47 | $0.50 | $0.40 (best) |
| Cached input | $0.016 (best) | — | $0.05 |
| Blended (3:1) | $0.23 | $0.237 | $0.198 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Alibaba API | Median of 11 providers | Official Vivgrid API |
| Limits | |||
| Context window | 1,000,000 tokens | 1,048,576 tokens (best) | 1,000,000 tokens |
| Max output | 131,072 tokens | 8,192 tokens | 256,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | Yes | No | No |
| Video | Yes | Yes | No |
| Reasoning | Yeslow · medium · xhigh | Yes | Yeslow · high · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | qwen3.8-omni-flash | nvidia/nemotron-3.5-super-vl-120b-a12b | viv-fast |
| API providers | 13 (best) | 13 (best) | 1 |
| Released | Sep 17, 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.
- Qwen3.8 Omni Flash$2.44
- Nemotron 3.5 Super VL 120B A12B$2.50
- Viv Fast$2.10
Which should you choose?
Which is better: Qwen3.8 Omni Flash, Nemotron 3.5 Super VL 120B A12B or Viv Fast?
Qwen3.8 Omni Flash is the better all-round choice, scoring 77/100 against Viv Fast (73) and Nemotron 3.5 Super VL 120B A12B (71). It leads on inputs & features. Viv Fast wins on price. 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, Qwen3.8 Omni Flash, Nemotron 3.5 Super VL 120B A12B or Viv Fast?
Viv Fast is cheaper at $0.13 input / $0.40 output per million tokens (official Vivgrid API price). Qwen3.8 Omni Flash costs $0.15 input / $0.47 output per million tokens (official Alibaba API price); 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). At a typical mix of three input tokens to one output token, that is $0.198 per million tokens for Viv Fast versus $0.23 for Qwen3.8 Omni Flash (1.2× as much) and $0.237 for Nemotron 3.5 Super VL 120B A12B (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen3.8 Omni Flash has not been scored yet, Nemotron 3.5 Super VL 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 Qwen3.8 Omni Flash, Nemotron 3.5 Super VL 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?
Nemotron 3.5 Super VL 120B A12B has the largest context window at 1,048,576 tokens, against 1,000,000 for Qwen3.8 Omni Flash and 1,000,000 for Viv Fast. Maximum output per response: Qwen3.8 Omni Flash up to 131,072, Nemotron 3.5 Super VL 120B A12B up to 8,192, Viv Fast up to 256,000 tokens.
Which can read images, PDFs, audio or video?
Qwen3.8 Omni Flash accepts text, images, audio and video; Nemotron 3.5 Super VL 120B A12B accepts text, images and video; Viv Fast accepts text and images. Qwen3.8 Omni Flash handles the widest range of inputs.
Are any of these open source?
Nemotron 3.5 Super VL 120B A12B publishes its weights and can be self-hosted; Qwen3.8 Omni Flash and Viv Fast is proprietary.
Which is newer?
Nemotron 3.5 Super VL 120B A12B is the newest, released Oct 15, 2026. Viv Fast came out Sep 21, 2026; Qwen3.8 Omni Flash came out Sep 17, 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.
