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Modellvergleich

Claude Sonnet 4.5 vs Gemini 2.5 Flash

Compare Anthropic: Claude Sonnet 4.5 (Anthropic) and Google: Gemini 2.5 Flash (Google) by price, context, capabilities, and latency.

Welches Modell sollten Sie wahlen?

  • Price: Google: Gemini 2.5 Flash is cheaper ($0.3 / 1M tokens input / $2.50 / 1M tokens output) vs Anthropic: Claude Sonnet 4.5 ($3 / 1M tokens input / $15 / 1M tokens output).
  • Context: Google: Gemini 2.5 Flash has the larger context window (1M tokens).
  • Anthropic: Claude Sonnet 4.5 adds: Reasoning.
  • Google: Gemini 2.5 Flash adds: Low cost.

Seite an Seite

Anthropic: Claude Sonnet 4.5 vs Google: Gemini 2.5 Flash — vollstandiger Vergleich

Vergleichen Sie Preis, Anbieter, Kontext, Fahigkeiten, Latenz und Quellenbasis.

ModelProviderInputOutputContextCapabilitiesBest forLatencyStatusSource
Anthropic: Claude Sonnet 4.5anthropic/claude-sonnet-4.5Anthropic$3 / 1M tokens$15 / 1M tokens1M
Tool callingJSON modeLong contextReasoning
coding agents, code review1600-4800msCatalogOpenRouter if available
Google: Gemini 2.5 Flashgoogle/gemini-2.5-flashGoogle$0.3 / 1M tokens$2.50 / 1M tokens1M
Tool callingVisionJSON modeLong context
long-document summarization, image Q&A900-2800msCatalogOpenRouter if available

FAQ

Anthropic: Claude Sonnet 4.5 vs Google: Gemini 2.5 Flash FAQ

Is Anthropic: Claude Sonnet 4.5 or Google: Gemini 2.5 Flash cheaper?

Google: Gemini 2.5 Flash is cheaper ($0.3 / 1M tokens input / $2.50 / 1M tokens output) vs Anthropic: Claude Sonnet 4.5 ($3 / 1M tokens input / $15 / 1M tokens output). Actual cost depends on your input/output token mix — estimate it with the pricing calculator.

Which has a larger context window, Anthropic: Claude Sonnet 4.5 or Google: Gemini 2.5 Flash?

Google: Gemini 2.5 Flash is larger (1M tokens) vs 1M tokens.

Anthropic: Claude Sonnet 4.5 vs Google: Gemini 2.5 Flash for Long context: which should I pick?

Both target Long context. Pick Google: Gemini 2.5 Flash to optimize cost, or Google: Gemini 2.5 Flash for the longer context window. Test both on real prompts before committing production traffic.