Model decision surface
Compare AI models
Start with Seed 2.1 Turbo and GLM 5.3, 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 GLM 5.3
Live dataset updated 9/10/2026, 6:20:44 AM UTC
Open 1200×630 evidence receipt| Field | Seed 2.1 Turbo ByteDance Seed | GLM 5.3 Z.ai |
|---|---|---|
| ModelCap position | #18 | #8 |
| Index score | 76.8 | 82.3 |
| Evidence | Estimatedglobal-corpus-prior over 185 held-out anchors (12%); launch card against 2 resolved peers on 3 rows (88%); exceeds every named peer on 1 of 3 rows; no cross-lab optimism probe available; shrunk 3.1 toward the measured corpus | Measured4 public benchmark observations across 4 boards |
| Input / 1M | $0.50 | $1.40 |
| Output / 1M | $2.50 | $4.40 |
| Pricing status | fresh | fresh |
| Context | 262K | 1.3M |
| Providers | 1 | 27 |
| Weight access | API only | Restricted license |
Decision facts
- Seed 2.1 Turbo is #18; GLM 5.3 is #8 on the same current language board.
- Index scores are 76.8 for Seed 2.1 Turbo and 82.3 for GLM 5.3. 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; GLM 5.3 is Measured.
- Listed output price per 1M tokens is $2.50 for Seed 2.1 Turbo and $4.40 for GLM 5.3. 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 $5.00 for GLM 5.3. Seed 2.1 Turbo costs 55.0% 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 1,310,720 for GLM 5.3.
- Weight access differs: Seed 2.1 Turbo is none; GLM 5.3 is restricted.
- ModelCap currently lists 1 providers for Seed 2.1 Turbo and 27 for GLM 5.3.
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.