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ModelCap

Model decision surface

Compare AI models

Start with Claude Haiku 4.5 and DeepSeek V3.1 Terminus, 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

Claude Haiku 4.5 vs DeepSeek V3.1 Terminus

Live dataset updated 9/10/2026, 3:47:06 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Claude Haiku 4.5 and DeepSeek V3.1 Terminus
Field
ModelCap position#63#66
Index score55.354.1
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured3 public benchmark observations across 3 boards
Input / 1M$1.00$0.27
Output / 1M$5.00$1.00
Pricing statusfreshfresh
Context200K164K
Providers44
Weight accessAPI onlyOpen weights

Decision facts

  • Claude Haiku 4.5 is #63; DeepSeek V3.1 Terminus is #66 on the same current language board.
  • Index scores are 55.3 for Claude Haiku 4.5 and 54.1 for DeepSeek V3.1 Terminus. 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 $5.00 for Claude Haiku 4.5 and $1.00 for DeepSeek V3.1 Terminus. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $4.50 for Claude Haiku 4.5 versus $1.04 for DeepSeek V3.1 Terminus. DeepSeek V3.1 Terminus costs 76.9% 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 200,000 tokens for Claude Haiku 4.5 and 163,840 for DeepSeek V3.1 Terminus.
  • Weight access differs: Claude Haiku 4.5 is none; DeepSeek V3.1 Terminus 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.

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.