MiMo-V2.6-Flash vs Qwen3.8 Flash Next vs Viv Fast
MiMo-V2.6-Flash comes out ahead, 79 to 75 and 70 on our weighted score, and it is the cheaper option too.
- Our pick
XiaomiMiMo-V2.6-Flash
79/100- ECI—
- Price$0.14 / $0.28
- Context1.05M
Alibaba (Qwen)Qwen3.8 Flash Next
70/100- ECI—
- Price$0.20 / $0.50
- Context262K
VivgridViv Fast
75/100- 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 79/100 against Viv Fast (75) and Qwen3.8 Flash Next (70). It leads 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 priceMiMo-V2.6-FlashMiMo-V2.6-Flash $0.175 · Viv Fast $0.198 · Qwen3.8 Flash Next $0.275 per 1M tokens (3:1 blend)
- Longest contextMiMo-V2.6-FlashMiMo-V2.6-Flash 1,048,576 · Viv Fast 1,000,000 · Qwen3.8 Flash Next 262,144 tokens
- Widest inputsMiMo-V2.6-FlashMiMo-V2.6-Flash: Text, Images, Audio, Video · Qwen3.8 Flash Next: Text, Images, Video · Viv Fast: Text, Images
- Self-hostingMiMo-V2.6-Flash and Qwen3.8 Flash NextPublishes downloadable weights (qwen-community-1.0)
| Measure | Weight | MiMo-V2.6-Flash | Qwen3.8 Flash Next | Viv Fast |
|---|---|---|---|---|
| Price | 50% | 86 | 76 | 83 |
| Inputs & features | 30% | 80 | 80 | 70 |
| Context window | 20% | 61 | 37 | 60 |
| Overall | 100% | 79/100 | 70/100 | 75/100 |
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 | Qwen3.8 Flash NextAlibaba (Qwen) | 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 5 providers | Official Vivgrid API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 262,144 tokens | 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 | Yes | Yes |
| PDFs | No | No | No |
| Audio | Yes | No | No |
| Video | Yes | Yes | No |
| Reasoning | Yes | Yes | Yeslow · high · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Open | Openqwen-community-1.0 | Proprietary |
| API model ID | mimo-v2.6-flash | — | viv-fast |
| API providers | 18 (best) | 5 | 1 |
| Released | Sep 22, 2026 | Aug 27, 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
- Qwen3.8 Flash Next$3.00
- Viv Fast$2.10
Which should you choose?
Which is better: MiMo-V2.6-Flash, Qwen3.8 Flash Next or Viv Fast?
MiMo-V2.6-Flash is the better all-round choice, scoring 79/100 against Viv Fast (75) and Qwen3.8 Flash Next (70). It leads 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, MiMo-V2.6-Flash, Qwen3.8 Flash Next 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); Qwen3.8 Flash Next costs $0.20 input / $0.50 output per million tokens (median across 5 API providers). 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 Qwen3.8 Flash Next (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, Qwen3.8 Flash Next 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, Qwen3.8 Flash Next 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 has the largest context window at 1,048,576 tokens, against 1,000,000 for Viv Fast and 262,144 for Qwen3.8 Flash Next. Maximum output per response: MiMo-V2.6-Flash up to 131,072, Qwen3.8 Flash Next 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; Qwen3.8 Flash Next accepts text, images and video; 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 Qwen3.8 Flash Next publishes its weights (qwen-community-1.0) and can be self-hosted; Viv Fast 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 Flash Next came out Aug 27, 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.
