Model decision surface
Compare AI models
Start with GPT-6 Sol and MiMo-V2.6-Pro, 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 Sol vs MiMo-V2.6-Pro
Live dataset updated 9/22/2026, 10:37:09 PM UTC
Open 1200×630 evidence receipt| Field | GPT-6 Sol OpenAI | MiMo-V2.6-Pro Xiaomi |
|---|---|---|
| ModelCap position | #2 | #5 |
| Index score | 89.3 | 88.1 |
| Evidence | Measured1 public benchmark observation across 1 board | Measured1 public benchmark observation across 1 board |
| Input / 1M | $2.00 | $0.435 |
| Output / 1M | $10.00 | $0.87 |
| Pricing status | fresh | fresh |
| Context | 1M | 1M |
| Providers | 2 | 2 |
| Weight access | API only | Open weights |
Decision facts
- GPT-6 Sol is #2; MiMo-V2.6-Pro is #5 on the same current language board.
- Index scores are 89.3 for GPT-6 Sol and 88.1 for MiMo-V2.6-Pro. 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 $10.00 for GPT-6 Sol and $0.87 for MiMo-V2.6-Pro. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $9.00 for GPT-6 Sol versus $1.30 for MiMo-V2.6-Pro. MiMo-V2.6-Pro costs 85.5% 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 Sol and 1,048,576 for MiMo-V2.6-Pro.
- Weight access differs: GPT-6 Sol is none; MiMo-V2.6-Pro is open.
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
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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.