Viv Fast vs Qwen3.8 Omni Flash vs MiMo-V2.6-Flash
Too close to call on our weighted score (Qwen3.8 Omni Flash 79, MiMo-V2.6-Flash 79, Viv Fast 75). The right pick depends on what you value most.
VivgridViv Fast
75/100- ECI—
- Price$0.13 / $0.40
- Context1M
Alibaba (Qwen)Qwen3.8 Omni Flash
79/100- ECI—
- Price$0.15 / $0.47
- Context1M
XiaomiMiMo-V2.6-Flash
79/100- ECI—
- Price$0.14 / $0.28
- Context1.05M
Too close to call
It is close. Our weighted score puts them within a point (Qwen3.8 Omni Flash 79/100, MiMo-V2.6-Flash 79/100, Viv Fast 75/100), so choose by what matters most for your work: MiMo-V2.6-Flash on price and MiMo-V2.6-Flash 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 priceMiMo-V2.6-FlashMiMo-V2.6-Flash $0.175 · Viv Fast $0.198 · Qwen3.8 Omni Flash $0.23 per 1M tokens (3:1 blend)
- Longest contextMiMo-V2.6-FlashMiMo-V2.6-Flash 1,048,576 · Viv Fast 1,000,000 · Qwen3.8 Omni Flash 1,000,000 tokens
- Widest inputsQwen3.8 Omni Flash and MiMo-V2.6-FlashViv Fast: Text, Images · Qwen3.8 Omni Flash: Text, Images, Audio, Video · MiMo-V2.6-Flash: Text, Images, Audio, Video
- Self-hostingMiMo-V2.6-FlashPublishes downloadable weights
| Measure | Weight | Viv Fast | Qwen3.8 Omni Flash | MiMo-V2.6-Flash |
|---|---|---|---|---|
| Price | 50% | 83 | 80 | 86 |
| Inputs & features | 30% | 70 | 90 | 80 |
| Context window | 20% | 60 | 60 | 61 |
| Overall | 100% | 75/100 | 79/100 | 79/100 |
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 | Viv FastVivgrid | Qwen3.8 Omni FlashAlibaba (Qwen) | MiMo-V2.6-FlashXiaomi |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.13 (best) | $0.15 | $0.14 |
| Output | $0.40 | $0.47 | $0.28 (best) |
| Cached input | $0.05 | $0.016 | $0.0028 (best) |
| Blended (3:1) | $0.198 | $0.23 | $0.175 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Vivgrid API | Official Alibaba API | Official Xiaomi API |
| Limits | |||
| Context window | 1,000,000 tokens | 1,000,000 tokens | 1,048,576 tokens (best) |
| Max output | 256,000 tokens (best) | 131,072 tokens | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | Yes | Yes |
| Video | No | Yes | Yes |
| Reasoning | Yeslow · high · max | Yeslow · medium · xhigh | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | viv-fast | qwen3.8-omni-flash | mimo-v2.6-flash |
| API providers | 1 | 10 | 18 (best) |
| Released | Sep 21, 2026 | Sep 17, 2026 | Sep 22, 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.
- Viv Fast$2.10
- Qwen3.8 Omni Flash$2.44
- MiMo-V2.6-Flash$1.96
Which should you choose?
Which is better: Viv Fast, Qwen3.8 Omni Flash or MiMo-V2.6-Flash?
It is close. Our weighted score puts them within a point (Qwen3.8 Omni Flash 79/100, MiMo-V2.6-Flash 79/100, Viv Fast 75/100), so choose by what matters most for your work: MiMo-V2.6-Flash on price and MiMo-V2.6-Flash 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, Viv Fast, Qwen3.8 Omni Flash or MiMo-V2.6-Flash?
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); Qwen3.8 Omni Flash costs $0.15 input / $0.47 output per million tokens (official Alibaba API price). 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 $0.23 for Qwen3.8 Omni Flash (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Viv Fast has not been scored yet, Qwen3.8 Omni Flash has not been scored yet and MiMo-V2.6-Flash has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Viv Fast, Qwen3.8 Omni Flash and MiMo-V2.6-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?
MiMo-V2.6-Flash has the largest context window at 1,048,576 tokens, against 1,000,000 for Viv Fast and 1,000,000 for Qwen3.8 Omni Flash. Maximum output per response: Viv Fast up to 256,000, Qwen3.8 Omni Flash up to 131,072, MiMo-V2.6-Flash up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Viv Fast accepts text and images; Qwen3.8 Omni Flash accepts text, images, audio and video; MiMo-V2.6-Flash accepts text, images, audio and video. Qwen3.8 Omni Flash handles the widest range of inputs.
Are any of these open source?
MiMo-V2.6-Flash publishes its weights and can be self-hosted; Viv Fast and Qwen3.8 Omni Flash is proprietary.
Which is newer?
MiMo-V2.6-Flash is the newest, released Sep 22, 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 Oct 4, 2026.
