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ModelCap

Model decision surface

Compare AI models

Start with DeepSeek V4.1 Flash and Gemini 4 Argon, 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 V4.1 Flash vs Gemini 4 Argon

Live dataset updated 10/14/2026, 7:39:53 PM UTC

Open 1200×630 evidence receipt
Factual comparison of DeepSeek V4.1 Flash and Gemini 4 Argon
Field
ModelCap position#23#1
Index score77.288.6
EvidenceMeasured5 public benchmark observations across 5 boardsMeasured3 public benchmark observations across 3 boards
Input / 1M$0.016$2.00
Output / 1M$0.891$10.00
Pricing statusfreshfresh
Context1M1M
Providers302
Weight accessOpen weightsNo linked weights

Decision facts

  • DeepSeek V4.1 Flash is #23; Gemini 4 Argon is #1 on the same current language board.
  • Index scores are 77.2 for DeepSeek V4.1 Flash and 88.6 for Gemini 4 Argon. Their published uncertainty intervals do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.89 for DeepSeek V4.1 Flash and $10.00 for Gemini 4 Argon. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.48 for DeepSeek V4.1 Flash versus $9.00 for Gemini 4 Argon. DeepSeek V4.1 Flash costs 94.7% 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 V4.1 Flash and 1,048,576 for Gemini 4 Argon.
  • Weight access differs: DeepSeek V4.1 Flash is open; Gemini 4 Argon is none.
  • ModelCap currently lists 30 providers for DeepSeek V4.1 Flash and 2 for Gemini 4 Argon.

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.