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Gemini 2.5 with 1M+ token context, native multimodality, and the best cost-to-performance ratio
Compare costs at scale:
tokens = 10000000 # 10M tokens
models = [("Gemini Flash", 0.15), ("GPT-4o", 2.50), ("Claude Sonnet", 3.00)]
print("Cost to process 10M tokens:")
for name, rate in models:
cost = (tokens / 1e6) * rate
print(f" {name:20s}: ${cost:,.2f}")