Hy3 vs Viv Fast
Viv Fast comes out ahead, 75 to 58 on our weighted score, and it is the cheaper option too.
Viv Fast is our pick
Viv Fast is the better all-round choice, scoring 75/100 against Hy3 (58). It leads on price, inputs & features and context window. 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 · Hy3 $0.232 per 1M tokens (3:1 blend)
- Longest contextViv FastViv Fast 1,000,000 · Hy3 256,000 tokens
- Widest inputsViv FastHy3: Text · Viv Fast: Text, Images
- Self-hostingHy3Publishes downloadable weights
| Measure | Weight | Hy3 | Viv Fast |
|---|---|---|---|
| Price | 50% | 80 | 83 |
| Inputs & features | 30% | 35 | 70 |
| Context window | 20% | 36 | 60 |
| Overall | 100% | 58/100 | 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 | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.132 | $0.13 (best) |
| Output | $0.53 | $0.40 (best) |
| Cached input | — | $0.05 |
| Blended (3:1) | $0.232 | $0.198 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 15 providers | Official Vivgrid API |
| Limits | ||
| Context window | 256,000 tokens | 1,000,000 tokens (best) |
| Max output | 128,000 tokens | 256,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yeshigh | Yeslow · high · max |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | hy3 | viv-fast |
| API providers | 18 (best) | 1 |
| Released | Jul 6, 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.
Hy3$2.38
Viv Fast$2.10
Which should you choose?
Which is better: Hy3 or Viv Fast?
Viv Fast is the better all-round choice, scoring 75/100 against Hy3 (58). It leads on price, inputs & features and context window. 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, Hy3 or Viv Fast?
Viv Fast is cheaper at $0.13 input / $0.40 output per million tokens (official Vivgrid API price). Hy3 costs $0.132 input / $0.53 output per million tokens (median across 15 API providers; free on Tencent TokenHub). At a typical mix of three input tokens to one output token, that is $0.198 per million tokens for Viv Fast versus $0.232 for Hy3 (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Hy3 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 Hy3 and Viv Fast yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Viv Fast has the largest context window at 1,000,000 tokens, against 256,000 for Hy3. Maximum output per response: Hy3 up to 128,000, Viv Fast up to 256,000 tokens.
Which can read images, PDFs, audio or video?
Hy3 accepts text; Viv Fast accepts text and images. Viv Fast handles the widest range of inputs.
Are any of these open source?
Hy3 publishes its weights and can be self-hosted; Viv Fast is proprietary.
Which is newer?
Viv Fast is the newest, released Sep 21, 2026. Hy3 came out Jul 6, 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.