Qwen3.8 Max 0902 vs Grok 4.7
Too close to call on our weighted score (Qwen3.8 Max 0902 63, Grok 4.7 61). The right pick depends on what you value most.
Alibaba (Qwen)
Qwen3.8 Max 0902
63/100- ECI155.2
- Price$2.00 / $6.00
- Context1M
xAI
Grok 4.7
61/100- ECI—
- Price$2.00 / $6.00
- Context500K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 2 points (Qwen3.8 Max 0902 63/100, Grok 4.7 61/100), so choose by what matters most for your work: Qwen3.8 Max 0902 for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3, OTIS Mock AIME 2024–2025 and SimpleQA Verified), because Grok 4.7 has no Capabilities Index score yet.
- CapabilityQwen3.8 Max 0902Shared benchmarks: Qwen3.8 Max 0902 76.3% · Grok 4.7 74.9%
- Lowest priceSame priceQwen3.8 Max 0902 $3.00 · Grok 4.7 $3.00 per 1M tokens (3:1 blend)
- Longest contextQwen3.8 Max 0902Qwen3.8 Max 0902 1,000,000 · Grok 4.7 500,000 tokens
- Widest inputsQwen3.8 Max 0902Qwen3.8 Max 0902: Text, Images, PDFs, Video · Grok 4.7: Text, Images, PDFs
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | Qwen3.8 Max 0902 | Grok 4.7 |
|---|---|---|---|
| CapabilityShared benchmarks | 50% | 76 | 75 |
| Price | 25% | 27 | 27 |
| Inputs & features | 15% | 80 | 80 |
| Context window | 10% | 60 | 48 |
| Overall | 100% | 63/100 | 61/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 155.2 | — |
| ECI rank | #28 of 148 | — |
| GPQA DiamondGraduate-level science questions | 92.3% | 92.7% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 65.6% (best) | 53.0% |
| OTIS Mock AIME 2024–2025Competition mathematics | 100% (best) | 98.1% |
| SimpleQA VerifiedShort factual questions | 47.3% | 56.0% (best) |
| Price per million tokens | ||
| Input | $2.00 | $2.00 |
| Output | $6.00 | $6.00 |
| Cached input | — | $0.50 |
| Blended (3:1) | $3.00 | $3.00 |
| Long-context rate | Same rate | Over 200K: $4.00 / $12.00 |
| Price source | Median of 6 providers | Official xAI API |
| Limits | ||
| Context window | 1,000,000 tokens (best) | 500,000 tokens |
| Max output | 131,072 tokens | 500,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | Yes | Yes |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | Yes | Yeslow · medium · high · xhigh |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | — | grok-4.7 |
| API providers | 6 | 17 (best) |
| Released | Sep 2, 2026 | Sep 21, 2026 |
| Knowledge cutoff | — | May 2026 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Qwen3.8 Max 0902$32.00
Grok 4.7$32.00
Which should you choose?
Which is better: Qwen3.8 Max 0902 or Grok 4.7?
It is close. Our weighted score puts them within 2 points (Qwen3.8 Max 0902 63/100, Grok 4.7 61/100), so choose by what matters most for your work: Qwen3.8 Max 0902 for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3, OTIS Mock AIME 2024–2025 and SimpleQA Verified), because Grok 4.7 has no Capabilities Index score yet.
Which is cheaper, Qwen3.8 Max 0902 or Grok 4.7?
Qwen3.8 Max 0902 and Grok 4.7 cost the same: $2.00 input / $6.00 output per million tokens.
Which scores higher on benchmarks?
Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3, OTIS Mock AIME 2024–2025 and SimpleQA Verified): Qwen3.8 Max 0902 76.3% and Grok 4.7 74.9%. On individual benchmarks: GPQA Diamond — Grok 4.7 92.7%, Qwen3.8 Max 0902 92.3%; FrontierMath Tiers 1–3 — Qwen3.8 Max 0902 65.6%, Grok 4.7 53.0%; OTIS Mock AIME 2024–2025 — Qwen3.8 Max 0902 100%, Grok 4.7 98.1%; SimpleQA Verified — Grok 4.7 56.0%, Qwen3.8 Max 0902 47.3%.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.8 Max 0902 and Grok 4.7 yet, so there is no like-for-like coding score. On overall capability, Qwen3.8 Max 0902 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
Qwen3.8 Max 0902 has the largest context window at 1,000,000 tokens, against 500,000 for Grok 4.7. Maximum output per response: Qwen3.8 Max 0902 up to 131,072, Grok 4.7 up to 500,000 tokens.
Which can read images, PDFs, audio or video?
Qwen3.8 Max 0902 accepts text, images, PDFs and video; Grok 4.7 accepts text, images and PDFs. Qwen3.8 Max 0902 handles the widest range of inputs.
Are any of these open source?
No. Qwen3.8 Max 0902 and Grok 4.7 are proprietary and only available through APIs and apps.
Which is newer?
Grok 4.7 is the newest, released Sep 21, 2026. Qwen3.8 Max 0902 came out Sep 2, 2026. Knowledge cutoff: Grok 4.7 May 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.