Lesson 73 of 1570
Claude Haiku 4.5 vs. GPT-5.4 mini — the cheap-and-fast class
When you need sub-second responses at pennies per thousand calls, you are choosing from the mini tier. Here is the honest Haiku vs. mini comparison.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The class you actually ship on
- 2Head to head
- 3Cost of a million user turns
Concept cluster
Terms to connect while reading
Section 1
The class you actually ship on
Frontier models are fun to demo. They lose money in production. The models that ship inside real customer products are the mini tier — Haiku, GPT-5.4 mini, Gemini Flash-Lite — because they are fast, cheap, and good enough for 80% of user turns.
Section 2
Head to head
Compare the options
| Feature | Claude Haiku 4.5 | GPT-5.4 mini | Gemini 2.5 Flash-Lite |
|---|---|---|---|
| Input price per M | $1.00 | $0.75 | $0.10 |
| Output price per M | $5.00 | $4.50 | $0.40 |
| Context window | 200k | 400k | 1M |
| Vision | Yes | Yes | No |
| Reasoning toggle | No | Yes | No |
| Best at | Tone and nuance in support chat | Reasoning-light tasks with vision | Sheer throughput, cheapest floor |
Pick Haiku if
- You run a customer-support chat where tone and de-escalation matter
- You need vision (image moderation, receipt OCR with commentary)
- You already use Anthropic tooling in your stack
Pick GPT-5.4 mini if
- You want reasoning capability at mini prices (flip the reasoning flag on for harder turns)
- You need 400k context for longer conversations
- You are already on OpenAI for other products
Pick Gemini Flash-Lite if
- Your cost per call is the whole game (data labeling at scale, embeddings pre-processing)
- You do not need vision or nuanced tone
- You are doing classification on a 1M-row dataset
Section 3
Cost of a million user turns
At 1M turns, Flash-Lite costs 9% of Haiku. GPT-5.4 mini costs closer to Haiku, but buys you OpenAI tool support and reasoning controls.
# Assume 500 input tokens, 200 output tokens per turn
# 1,000,000 turns
haiku = (500 * 1_000_000 / 1_000_000) * 1.00 + (200 * 1_000_000 / 1_000_000) * 5.00
# = $500 + $1000 = $1,500
gpt_mini = (500 * 1_000_000 / 1_000_000) * 0.75 + (200 * 1_000_000 / 1_000_000) * 4.50
# = $375 + $900 = $1,275
flash_lite = (500 * 1_000_000 / 1_000_000) * 0.10 + (200 * 1_000_000 / 1_000_000) * 0.40
# = $50 + $80 = $130
print(haiku, gpt_mini, flash_lite)Key terms in this lesson
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