Grok 4.7 vs GPT-6 Astra vs Qwen3.8 Max
Too close to call on our weighted score (Qwen3.8 Max 65, GPT-6 Astra 64, Grok 4.7 61). The right pick depends on what you value most.
xAIGrok 4.7
61/100- ECI—
- Price$2.00 / $6.00
- Context500K
OpenAIGPT-6 Astra
64/100- ECI166.5
- Price$10.00 / $50.00
- Context1.05M
Alibaba (Qwen)Qwen3.8 Max
65/100- ECI156.6
- Price$2.00 / $6.00
- Context1M
Too close to call
It is close. Our weighted score puts them within 2 points (Qwen3.8 Max 65/100, GPT-6 Astra 64/100, Grok 4.7 61/100), so choose by what matters most for your work: GPT-6 Astra for raw capability and Grok 4.7 on price. 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.
- CapabilityGPT-6 AstraShared benchmarks: GPT-6 Astra 91.3% · Qwen3.8 Max 78.2% · Grok 4.7 74.9%
- Lowest priceGrok 4.7 and Qwen3.8 MaxGrok 4.7 $3.00 · Qwen3.8 Max $3.00 · GPT-6 Astra $20.00 per 1M tokens (3:1 blend)
- Longest contextGPT-6 AstraGPT-6 Astra 1,050,000 · Qwen3.8 Max 1,000,000 · Grok 4.7 500,000 tokens
- Widest inputsQwen3.8 MaxGrok 4.7: Text, Images, PDFs · GPT-6 Astra: Text, Images, PDFs · Qwen3.8 Max: Text, Images, PDFs, Video
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Grok 4.7 | GPT-6 Astra | Qwen3.8 Max |
|---|---|---|---|---|
| CapabilityShared benchmarks | 50% | 75 | 91 | 78 |
| Price | 25% | 27 | 0 | 27 |
| Inputs & features | 15% | 80 | 80 | 90 |
| Context window | 10% | 48 | 61 | 60 |
| Overall | 100% | 61/100 | 64/100 | 65/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Grok 4.7xAI | GPT-6 AstraOpenAI | Qwen3.8 MaxAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 166.5 (best) | 156.6 |
| ECI rank | — | #2 of 148 (best) | #20 of 148 |
| GPQA DiamondGraduate-level science questions | 92.7% | 95.8% (best) | 92.7% |
| FrontierMath Tiers 1–3Research-level mathematics | 53.0% | 93.7% (best) | 74.7% |
| OTIS Mock AIME 2024–2025Competition mathematics | 98.1% | 100% (best) | 99.4% |
| SimpleQA VerifiedShort factual questions | 56.0% | 75.6% (best) | 45.8% |
| Price per million tokens | |||
| Input | $2.00 (best) | $10.00 | $2.00 (best) |
| Output | $6.00 (best) | $50.00 | $6.00 (best) |
| Cached input | $0.50 | $1.00 | $0.25 (best) |
| Blended (3:1) | $3.00 (best) | $20.00 | $3.00 (best) |
| Long-context rate | Over 200K: $4.00 / $12.00 | Over 272K: $20.00 / $75.00 | Same rate |
| Price source | Official xAI API | Official OpenAI API | Official Alibaba API |
| Limits | |||
| Context window | 500,000 tokens | 1,050,000 tokens (best) | 1,000,000 tokens |
| Max output | 500,000 tokens (best) | 128,000 tokens | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | Yes | Yes |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | Yeslow · medium · high · xhigh | Yeslow · medium · high · xhigh · 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 | gpt-6-astra | qwen3.8-max |
| API providers | 17 | 26 (best) | 25 |
| Released | Sep 21, 2026 | Sep 4, 2026 | Aug 3, 2026 |
| Knowledge cutoff | May 2026 | Apr 30, 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
- GPT-6 Astra$200.00
- Qwen3.8 Max$32.00
Which should you choose?
Which is better: Grok 4.7, GPT-6 Astra or Qwen3.8 Max?
It is close. Our weighted score puts them within 2 points (Qwen3.8 Max 65/100, GPT-6 Astra 64/100, Grok 4.7 61/100), so choose by what matters most for your work: GPT-6 Astra for raw capability and Grok 4.7 on price. 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, Grok 4.7, GPT-6 Astra or Qwen3.8 Max?
Grok 4.7 is cheaper at $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); GPT-6 Astra costs $10.00 input / $50.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $3.00 per million tokens for Grok 4.7 versus $3.00 for Qwen3.8 Max (1× as much) and $20.00 for GPT-6 Astra (6.7× as much).
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): GPT-6 Astra 91.3%, Qwen3.8 Max 78.2% and Grok 4.7 74.9%. On individual benchmarks: GPQA Diamond — GPT-6 Astra 95.8%, Grok 4.7 92.7%, Qwen3.8 Max 92.7%; FrontierMath Tiers 1–3 — GPT-6 Astra 93.7%, Qwen3.8 Max 74.7%, Grok 4.7 53.0%; OTIS Mock AIME 2024–2025 — GPT-6 Astra 100%, Qwen3.8 Max 99.4%, Grok 4.7 98.1%; SimpleQA Verified — GPT-6 Astra 75.6%, Grok 4.7 56.0%, Qwen3.8 Max 45.8%.
Which is better for coding?
There are no published SWE-bench Verified results for Grok 4.7, GPT-6 Astra and Qwen3.8 Max yet, so there is no like-for-like coding score. On overall capability, GPT-6 Astra leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
GPT-6 Astra has the largest context window at 1,050,000 tokens, against 1,000,000 for Qwen3.8 Max and 500,000 for Grok 4.7. Maximum output per response: Grok 4.7 up to 500,000, GPT-6 Astra up to 128,000, Qwen3.8 Max up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Grok 4.7 accepts text, images and PDFs; GPT-6 Astra accepts text, images and PDFs; 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, GPT-6 Astra 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. GPT-6 Astra came out Sep 4, 2026; Qwen3.8 Max came out Aug 3, 2026. Knowledge cutoff: Grok 4.7 May 2026, GPT-6 Astra Apr 30, 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.
