Grok 4.6 vs Qwen3.8 Omni Flash vs Qwen3.8 Max
Qwen3.8 Omni Flash comes out ahead, 79 to 53 and 44 on our weighted score, and it is the cheaper option too.
xAIGrok 4.6
44/100- ECI156.6
- Price$2.00 / $6.00
- Context500K
- Our pick
Alibaba (Qwen)Qwen3.8 Omni Flash
79/100- ECI—
- Price$0.15 / $0.47
- Context1M
- Alibaba (Qwen)
Qwen3.8 Max
53/100- ECI156.6
- Price$2.00 / $6.00
- Context1M
Qwen3.8 Omni Flash is our pick
Qwen3.8 Omni Flash is the better all-round choice, scoring 79/100 against Qwen3.8 Max (53) and Grok 4.6 (44). 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 priceQwen3.8 Omni FlashQwen3.8 Omni Flash $0.23 · Grok 4.6 $3.00 · Qwen3.8 Max $3.00 per 1M tokens (3:1 blend)
- Longest contextQwen3.8 Omni Flash and Qwen3.8 MaxQwen3.8 Omni Flash 1,000,000 · Qwen3.8 Max 1,000,000 · Grok 4.6 500,000 tokens
- Widest inputsQwen3.8 Omni Flash and Qwen3.8 MaxGrok 4.6: Text, Images · Qwen3.8 Omni Flash: Text, Images, Audio, Video · Qwen3.8 Max: Text, Images, PDFs, Video
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Grok 4.6 | Qwen3.8 Omni Flash | Qwen3.8 Max |
|---|---|---|---|---|
| Price | 50% | 27 | 80 | 27 |
| Inputs & features | 30% | 70 | 90 | 90 |
| Context window | 20% | 48 | 60 | 60 |
| Overall | 100% | 44/100 | 79/100 | 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 4.6xAI | Qwen3.8 Omni FlashAlibaba (Qwen) | Qwen3.8 MaxAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 156.6 (best) | — | 156.6 |
| ECI rank | #19 of 148 (best) | — | #20 of 148 |
| GPQA DiamondGraduate-level science questions | 94.0% (best) | — | 92.7% |
| FrontierMath Tiers 1–3Research-level mathematics | 66.0% | — | 74.7% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 99.2% | — | 99.4% (best) |
| SimpleQA VerifiedShort factual questions | 49.3% (best) | — | 45.8% |
| Price per million tokens | |||
| Input | $2.00 | $0.15 (best) | $2.00 |
| Output | $6.00 | $0.47 (best) | $6.00 |
| Cached input | $0.50 | $0.016 (best) | $0.25 |
| Blended (3:1) | $3.00 | $0.23 (best) | $3.00 |
| Long-context rate | Over 200K: $4.00 / $12.00 | Same rate | Same rate |
| Price source | Official xAI API | Official Alibaba 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) | 131,072 tokens | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | No | Yes | No |
| Video | No | Yes | Yes |
| Reasoning | Yeslow · medium · high · xhigh | Yeslow · medium · xhigh | Yeslow · medium · xhigh |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | grok-4.6 | qwen3.8-omni-flash | qwen3.8-max |
| API providers | 29 (best) | 10 | 25 |
| Released | Aug 12, 2026 | Sep 17, 2026 | Aug 3, 2026 |
| Knowledge cutoff | Feb 1, 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 4.6$32.00
- Qwen3.8 Omni Flash$2.44
- Qwen3.8 Max$32.00
Which should you choose?
Which is better: Grok 4.6, Qwen3.8 Omni Flash or Qwen3.8 Max?
Qwen3.8 Omni Flash is the better all-round choice, scoring 79/100 against Qwen3.8 Max (53) and Grok 4.6 (44). 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, Grok 4.6, Qwen3.8 Omni Flash or Qwen3.8 Max?
Qwen3.8 Omni Flash is cheaper at $0.15 input / $0.47 output per million tokens (official Alibaba API price). Grok 4.6 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 $0.23 per million tokens for Qwen3.8 Omni Flash versus $3.00 for Grok 4.6 (13× as much) and $3.00 for Qwen3.8 Max (13× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Grok 4.6 has an ECI of 156.6, Qwen3.8 Omni Flash 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 4.6, Qwen3.8 Omni Flash 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?
Qwen3.8 Omni Flash and Qwen3.8 Max have the largest context windows (1,000,000 and 1,000,000 tokens), against 500,000 for Grok 4.6. Maximum output per response: Grok 4.6 up to 500,000, Qwen3.8 Omni Flash up to 131,072, Qwen3.8 Max up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Grok 4.6 accepts text and images; Qwen3.8 Omni Flash accepts text, images, audio and video; Qwen3.8 Max accepts text, images, PDFs and video. Qwen3.8 Omni Flash handles the widest range of inputs.
Are any of these open source?
No. Grok 4.6, Qwen3.8 Omni Flash and Qwen3.8 Max are proprietary and only available through APIs and apps.
Which is newer?
Qwen3.8 Omni Flash is the newest, released Sep 17, 2026. Grok 4.6 came out Aug 12, 2026; Qwen3.8 Max came out Aug 3, 2026. Knowledge cutoff: Grok 4.6 Feb 1, 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.
