Model decision surface
Compare AI models
Start with GPT-6 Astra and Grok 4.7, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.
Current public data
GPT-6 Astra vs Grok 4.7
Live dataset updated 9/22/2026, 1:40:35 AM UTC
Open 1200×630 evidence receipt| Field | GPT-6 Astra OpenAI | Grok 4.7 xAI |
|---|---|---|
| ModelCap position | #3 | #4 |
| Index score | 85.0 | 85.0 |
| Evidence | Measured6 public benchmark observations across 6 boards | Measured1 public benchmark observation across 1 board |
| Input / 1M | $10.00 | $1.60 |
| Output / 1M | $50.00 | $4.80 |
| Pricing status | fresh | fresh |
| Context | 1M | 500K |
| Providers | 2 | 1 |
| Weight access | API only | API only |
Decision facts
- GPT-6 Astra is #3; Grok 4.7 is #4 on the same current language board.
- Index scores are 85.0 for GPT-6 Astra and 85.0 for Grok 4.7. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $50.00 for GPT-6 Astra and $4.80 for Grok 4.7. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $45.00 for GPT-6 Astra versus $5.60 for Grok 4.7. Grok 4.7 costs 87.6% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
- Published context is 1,050,000 tokens for GPT-6 Astra and 500,000 for Grok 4.7.
- ModelCap currently lists 2 providers for GPT-6 Astra and 1 for Grok 4.7.
These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.
Popular comparisons
- Claude Fable 5.1 vs Claude Opus 5#1 vs #2 on the ModelCap Index
- Claude Fable 5.1 vs GPT-6 Astra#1 vs #3 on the ModelCap Index
- Claude Opus 5 vs GPT-6 Astra#2 vs #3 on the ModelCap Index
- Claude Fable 5.1 vs Grok 4.7#1 vs #4 on the ModelCap Index
- Claude Opus 5 vs Grok 4.7#2 vs #4 on the ModelCap Index
- GPT-6 Astra vs Grok 4.7#3 vs #4 on the ModelCap Index
- Claude Fable 5.1 vs MiMo-V2.6-Pro#1 vs #5 on the ModelCap Index
- Claude Opus 5 vs MiMo-V2.6-Pro#2 vs #5 on the ModelCap Index
- GPT-6 Astra vs MiMo-V2.6-Pro#3 vs #5 on the ModelCap Index
- Grok 4.7 vs MiMo-V2.6-Pro#4 vs #5 on the ModelCap Index
- Claude Fable 5.1 vs Muse Spark 1.3#1 vs #6 on the ModelCap Index
- Claude Opus 5 vs Muse Spark 1.3#2 vs #6 on the ModelCap Index
- Muse Spark 1.3 vs GPT-6 Astra#6 vs #3 on the ModelCap Index
- Muse Spark 1.3 vs Grok 4.7#6 vs #4 on the ModelCap Index
- Muse Spark 1.3 vs MiMo-V2.6-Pro#6 vs #5 on the ModelCap Index
- Claude Fable 5.1 vs Qwen3.8 Max (0902)#1 vs #7 on the ModelCap Index
- Claude Opus 5 vs Qwen3.8 Max (0902)#2 vs #7 on the ModelCap Index
- GPT-6 Astra vs Qwen3.8 Max (0902)#3 vs #7 on the ModelCap Index
- Qwen3.8 Max (0902) vs Grok 4.7#7 vs #4 on the ModelCap Index
- Qwen3.8 Max (0902) vs MiMo-V2.6-Pro#7 vs #5 on the ModelCap Index
- Muse Spark 1.3 vs Qwen3.8 Max (0902)#6 vs #7 on the ModelCap Index
- Claude Fable 5.1 vs GPT-5.6 Sol#1 vs #8 on the ModelCap Index
- Claude Opus 5 vs GPT-5.6 Sol#2 vs #8 on the ModelCap Index
- GPT-5.6 Sol vs GPT-6 Astra#8 vs #3 on the ModelCap Index
Each comparison page is a permanent, shareable URL with the same live figures as this tool: ModelCap Index position, API pricing, context window, provider count, weight access and every shared benchmark board.