Model decision surface
Compare AI models
Start with Seed 2.1 Turbo and GPT-6 Sol, 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
Seed 2.1 Turbo vs GPT-6 Sol
Live dataset updated 9/22/2026, 10:37:09 PM UTC
Open 1200×630 evidence receipt| Field | Seed 2.1 Turbo ByteDance Seed | GPT-6 Sol OpenAI |
|---|---|---|
| ModelCap position | #23 | #2 |
| Index score | 79.7 | 89.3 |
| Evidence | Estimatedglobal-corpus-prior over 209 held-out anchors (11%); launch card against 2 resolved peers on 3 rows (89%); exceeds every named peer on 1 of 3 rows; no cross-lab optimism probe available; shrunk 2.8 toward the measured corpus | Measured1 public benchmark observation across 1 board |
| Input / 1M | $0.50 | $2.00 |
| Output / 1M | $2.50 | $10.00 |
| Pricing status | fresh | fresh |
| Context | 262K | 1M |
| Providers | 1 | 2 |
| Weight access | API only | API only |
Decision facts
- Seed 2.1 Turbo is #23; GPT-6 Sol is #2 on the same current language board.
- Index scores are 79.7 for Seed 2.1 Turbo and 89.3 for GPT-6 Sol. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: Seed 2.1 Turbo is Estimated; GPT-6 Sol is Measured.
- Listed output price per 1M tokens is $2.50 for Seed 2.1 Turbo and $10.00 for GPT-6 Sol. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $2.25 for Seed 2.1 Turbo versus $9.00 for GPT-6 Sol. Seed 2.1 Turbo costs 75.0% 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 262,144 tokens for Seed 2.1 Turbo and 1,050,000 for GPT-6 Sol.
- ModelCap currently lists 1 providers for Seed 2.1 Turbo and 2 for GPT-6 Sol.
These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.
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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.