Grok 4.7 vs Viv Fast vs Qwen3.8 Max
Viv Fast comes out ahead, 75 to 53 and 47 on our weighted score, and it is the cheaper option too.
xAIGrok 4.7
47/100- ECI—
- Price$2.00 / $6.00
- Context500K
- Our pick
VivgridViv Fast
75/100- ECI—
- Price$0.13 / $0.40
- Context1M
Alibaba (Qwen)Qwen3.8 Max
53/100- ECI156.6
- Price$2.00 / $6.00
- Context1M
Viv Fast is our pick
Viv Fast is the better all-round choice, scoring 75/100 against Qwen3.8 Max (53) and Grok 4.7 (47). It leads on price. Qwen3.8 Max wins on 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 priceViv FastViv Fast $0.198 · Grok 4.7 $3.00 · Qwen3.8 Max $3.00 per 1M tokens (3:1 blend)
- Longest contextViv Fast and Qwen3.8 MaxViv Fast 1,000,000 · Qwen3.8 Max 1,000,000 · Grok 4.7 500,000 tokens
- Widest inputsQwen3.8 MaxGrok 4.7: Text, Images, PDFs · Viv Fast: Text, Images · Qwen3.8 Max: Text, Images, PDFs, Video
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Grok 4.7 | Viv Fast | Qwen3.8 Max |
|---|---|---|---|---|
| Price | 50% | 27 | 83 | 27 |
| Inputs & features | 30% | 80 | 70 | 90 |
| Context window | 20% | 48 | 60 | 60 |
| Overall | 100% | 47/100 | 75/100 | 53/100 |
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 | Grok 4.7xAI | Viv FastVivgrid | Qwen3.8 MaxAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | 156.6 |
| ECI rank | — | — | #20 of 148 |
| GPQA DiamondGraduate-level science questions | 92.7% (best) | — | 92.7% |
| FrontierMath Tiers 1–3Research-level mathematics | 53.0% | — | 74.7% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 98.1% | — | 99.4% (best) |
| SimpleQA VerifiedShort factual questions | 56.0% (best) | — | 45.8% |
| Price per million tokens | |||
| Input | $2.00 | $0.13 (best) | $2.00 |
| Output | $6.00 | $0.40 (best) | $6.00 |
| Cached input | $0.50 | $0.05 (best) | $0.25 |
| Blended (3:1) | $3.00 | $0.198 (best) | $3.00 |
| Long-context rate | Over 200K: $4.00 / $12.00 | Same rate | Same rate |
| Price source | Official xAI API | Official Vivgrid API | Official Alibaba API |
| Limits | |||
| Context window | 500,000 tokens | 1,000,000 tokens (best) | 1,000,000 tokens (best) |
| Max output | 500,000 tokens (best) | 256,000 tokens | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | No | Yes |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | Yeslow · medium · high · xhigh | Yeslow · high · max | Yeslow · medium · xhigh |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | grok-4.7 | viv-fast | qwen3.8-max |
| API providers | 17 | 1 | 25 (best) |
| Released | Sep 21, 2026 | Sep 21, 2026 | Aug 3, 2026 |
| Knowledge cutoff | May 2026 | 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.
- Grok 4.7$32.00
- Viv Fast$2.10
- Qwen3.8 Max$32.00
Which should you choose?
Which is better: Grok 4.7, Viv Fast or Qwen3.8 Max?
Viv Fast is the better all-round choice, scoring 75/100 against Qwen3.8 Max (53) and Grok 4.7 (47). It leads on price. Qwen3.8 Max wins on 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, Grok 4.7, Viv Fast or Qwen3.8 Max?
Viv Fast is cheaper at $0.13 input / $0.40 output per million tokens (official Vivgrid API price). Grok 4.7 costs $2.00 input / $6.00 output per million tokens (official xAI API price); Qwen3.8 Max costs $2.00 input / $6.00 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.198 per million tokens for Viv Fast versus $3.00 for Grok 4.7 (15× as much) and $3.00 for Qwen3.8 Max (15× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Grok 4.7 has not been scored yet, Viv Fast has not been scored yet and Qwen3.8 Max has an ECI of 156.6.
Which is better for coding?
There are no published SWE-bench Verified results for Grok 4.7, Viv Fast and Qwen3.8 Max 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?
Viv Fast and Qwen3.8 Max have the largest context windows (1,000,000 and 1,000,000 tokens), against 500,000 for Grok 4.7. Maximum output per response: Grok 4.7 up to 500,000, Viv Fast up to 256,000, Qwen3.8 Max up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Grok 4.7 accepts text, images and PDFs; Viv Fast accepts text and images; Qwen3.8 Max accepts text, images, PDFs and video. Qwen3.8 Max handles the widest range of inputs.
Are any of these open source?
No. Grok 4.7, Viv Fast and Qwen3.8 Max are proprietary and only available through APIs and apps.
Which is newer?
Grok 4.7 is the newest, released Sep 21, 2026. Viv Fast came out Sep 21, 2026; Qwen3.8 Max came out Aug 3, 2026. Knowledge cutoff: Grok 4.7 May 2026, 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.
