Model decision surface
Compare AI models
Start with DeepSeek V3.1 Terminus and Qwen3 VL 235B A22B Instruct, 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
DeepSeek V3.1 Terminus vs Qwen3 VL 235B A22B Instruct
Live dataset updated 9/15/2026, 8:34:26 PM UTC
Open 1200×630 evidence receipt| Field | DeepSeek V3.1 Terminus DeepSeek | |
|---|---|---|
| ModelCap position | #67 | #61 |
| Index score | 54.1 | 56.1 |
| Evidence | Measured3 public benchmark observations across 3 boards | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $0.27 | $0.21 |
| Output / 1M | $1.00 | $1.90 |
| Pricing status | fresh | fresh |
| Context | 164K | 262K |
| Providers | 4 | 5 |
| Weight access | Open weights | Open weights |
Decision facts
- DeepSeek V3.1 Terminus is #67; Qwen3 VL 235B A22B Instruct is #61 on the same current language board.
- Index scores are 54.1 for DeepSeek V3.1 Terminus and 56.1 for Qwen3 VL 235B A22B Instruct. 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 $1.00 for DeepSeek V3.1 Terminus and $1.90 for Qwen3 VL 235B A22B Instruct. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.04 for DeepSeek V3.1 Terminus versus $1.37 for Qwen3 VL 235B A22B Instruct. DeepSeek V3.1 Terminus costs 24.1% 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 163,840 tokens for DeepSeek V3.1 Terminus and 262,144 for Qwen3 VL 235B A22B Instruct.
- ModelCap currently lists 4 providers for DeepSeek V3.1 Terminus and 5 for Qwen3 VL 235B A22B Instruct.
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.