Other Fast and Budget Models
Which Model for Which Use Case?
Real-Time Chat & Support
Low-latency conversational AI. Both deliver fast responses. Haiku 4.5 at $1/$5 is 33-44% cheaper, making it better for high-volume chatbots. Gemini 3.5 Flash at $1.50/$9 offers 5x more context for longer conversations.
Document Analysis
Processing and summarizing long documents. Gemini 3.5 Flash's 1M context window handles documents up to 4x longer than Haiku 4.5's 200K. For long-form analysis, Gemini is the clear choice despite the higher per-token cost.
Classification & Moderation
High-volume content classification, spam detection, sentiment analysis. Short inputs, short outputs. Haiku 4.5 at $1/$5 is 33-44% cheaper per token, making it the cost leader for high-throughput classification jobs.
Translation at Scale
Bulk translation workloads with moderate document lengths. Haiku 4.5 saves 33-44% per token for documents under 200K. Gemini 3.5 Flash handles longer documents with its 1M context but costs more per token.
Comparing fast AI models?
APIpulse lets you compare all 88 models including both Gemini 3.5 Flash ($1.50/$9) and Haiku 4.5 ($1/$5), save scenarios, and export cost reports for your team.
Frequently Asked Questions
Which is faster — Gemini 3.5 Flash or Haiku 4.5?
Both are optimized for speed. Gemini 3.5 Flash from Google excels at ultra-low latency with strong throughput. Claude Haiku 4.5 is Anthropic's fastest model. In practice, both deliver sub-second responses. Gemini edges out on raw throughput for simple tasks; Haiku 4.5 maintains better instruction-following quality at speed.
Is Haiku 4.5 cheaper?
Yes. Haiku 4.5 costs $1/$5 per 1M tokens vs Gemini 3.5 Flash at $1.50/$9. That's 33% cheaper on input and 44% cheaper on output. At 1M input + 500K output tokens/month, Haiku 4.5 costs $3.50 vs Gemini 3.5 Flash's $6 — saving $2.50/month.
How do they compare on context?
Gemini 3.5 Flash supports a 1M token context window — 5x larger than Haiku 4.5's 200K. For long documents, large codebases, or extended conversations, Gemini is significantly better. For shorter interactions under 200K tokens, both work equally well.
When should I pick each?
Pick Gemini 3.5 Flash ($1.50/$9) for large context needs (up to 1M tokens), Google ecosystem integration, or when your documents exceed 200K. Pick Haiku 4.5 ($1/$5) for the lowest cost on tasks under 200K context: chatbots, classification, summarization, and high-volume batch processing.
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