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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Gemini 4 ArgonGoogleRemove
  2. R1T ChimeraTNG TechRemove
gemini-4-argon vs tng-r1t-chimera
AttributeGemini 4 Argongemini-4-argonR1T Chimeratng-r1t-chimera
Pricing
Input$2.00 / 1M$0.30 / 1M
Output$10.00 / 1M$1.20 / 1M
Cache Write (5m)$2.00 / 1M$0.30 / 1M
Cache Write (1h)$2.00 / 1M$0.30 / 1M
Cache Read$2.00 / 1M$0.30 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M163.8K
Max outputN/AN/A
Capabilities
VisionYesNo
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderGoogleTNG Tech
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryGemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.TNG-R1T-Chimera is an experimental storytelling-focused LLM derived from the earlier DeepSeek-based Chimera model and available only through Chutes and OpenRouter. It has a friendlier creative personality, higher EQ-Bench scores, stronger intelligence (though slightly slower), clearer separation between reasoning and answers, and better tool calling. The creators also recommend following Microsoft's MAI-DS-R1 usage guidelines when working with the model.