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ModelCap

Model decision surface

Compare AI models

Start with DeepSeek V4 Pro 0813 and Gemma 4 31B, 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 V4 Pro 0813 vs Gemma 4 31B

Live dataset updated 9/9/2026, 8:46:14 PM UTC

Open 1200×630 evidence receipt
Factual comparison of DeepSeek V4 Pro 0813 and Gemma 4 31B
Field
ModelCap position#20#27
Index score73.669.7
EvidenceMeasured4 public benchmark observations across 4 boardsMeasured3 public benchmark observations across 3 boards
Input / 1M$0.579$0.09
Output / 1M$1.74$0.34
Pricing statusfreshfresh
Context1M262K
Providers1913
Weight accessOpen weightsOpen weights

Decision facts

  • DeepSeek V4 Pro 0813 is #20; Gemma 4 31B is #27 on the same current language board.
  • Index scores are 73.6 for DeepSeek V4 Pro 0813 and 69.7 for Gemma 4 31B. 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 $1.74 for DeepSeek V4 Pro 0813 and $0.34 for Gemma 4 31B. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $2.03 for DeepSeek V4 Pro 0813 versus $0.35 for Gemma 4 31B. Gemma 4 31B costs 82.7% 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 1,048,576 tokens for DeepSeek V4 Pro 0813 and 262,144 for Gemma 4 31B.
  • ModelCap currently lists 19 providers for DeepSeek V4 Pro 0813 and 13 for Gemma 4 31B.

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.