GPT-5 mini wins on price — and it's not close. At $0.25/$2.00 per 1M tokens, it's 75% cheaper on input and 60% cheaper on output than Claude Haiku 4.5 ($1.00/$5.00). For most budget-conscious workloads, GPT-5 mini is the practical choice.
But price isn't everything. Here's when each model makes sense, with real numbers.
Side-by-Side Pricing
| Feature | GPT-5 mini | Claude Haiku 4.5 |
|---|---|---|
| Input price (per 1M tokens) | $0.25 | $1.00 |
| Output price (per 1M tokens) | $2.00 | $5.00 |
| Context window | 272K tokens | 200K tokens |
| Provider | OpenAI | Anthropic |
| Tier | Budget | Budget |
| Input savings | 75% cheaper | — |
| Output savings | 60% cheaper | — |
Real Cost Examples
Let's look at what you'd actually pay for common workloads.
Chatbot (1,000 requests/day)
Typical customer support bot: 800 input tokens, 200 output tokens per message.
| Metric | GPT-5 mini | Claude Haiku 4.5 |
|---|---|---|
| Cost per request | $0.0006 | $0.002 |
| Daily cost (1K requests) | $0.60 | $2.00 |
| Monthly cost | $18.00 | $60.00 |
| Annual cost | $216 | $720 |
Savings with GPT-5 mini: $504/year.
Code Assistant (500 requests/day)
Longer context for code: 4,000 input tokens, 1,500 output tokens per request.
| Metric | GPT-5 mini | Claude Haiku 4.5 |
|---|---|---|
| Cost per request | $0.004 | $0.0115 |
| Daily cost (500 requests) | $2.00 | $5.75 |
| Monthly cost | $60.00 | $172.50 |
| Annual cost | $720 | $2,070 |
Savings with GPT-5 mini: $1,350/year.
High-Volume Data Processing
Classification pipeline: 2,000 input tokens, 500 output tokens, 5,000 requests/day.
| Metric | GPT-5 mini | Claude Haiku 4.5 |
|---|---|---|
| Daily tokens (input) | 10M | 10M |
| Daily cost | $12.50 | $50.00 |
| Monthly cost | $375.00 | $1,500.00 |
Savings with GPT-5 mini: $1,125/month ($13,500/year).
When to Pick GPT-5 mini
- Cost is the priority — 75% cheaper on input tokens, 60% cheaper on output
- High-volume workloads — chatbots, classification, data extraction at scale
- Larger context needed — 272K tokens (36% more than Haiku's 200K)
- Startup MVPs — iterate cheaply, 4x cheaper than Haiku for prototyping
- Most coding tasks — code completion, refactoring, simple generation
When to Pick Claude Haiku 4.5
- Complex instruction following — Anthropic models handle nuanced prompts well
- Enterprise / safety-critical — Anthropic's safety-first approach for regulated industries
- Nuanced reasoning — if your task requires careful step-by-step logic
- Already in Anthropic ecosystem — if you use Claude Sonnet/Opus and want a budget tier within the same API
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The Broader Budget Landscape
GPT-5 mini and Claude Haiku aren't the only budget options. Here's how they stack up against other cheap models:
| Model | Provider | Input (per 1M) | Output (per 1M) | Context |
|---|---|---|---|---|
| Gemini 2.5 Flash-Lite | $0.075 | $0.30 | 1M | |
| GPT-oss 20B | OpenAI | $0.08 | $0.35 | 128K |
| Gemini 2.5 Flash-Lite | $0.10 | $0.40 | 1M | |
| DeepSeek V4 Flash | DeepSeek | $0.14 | $0.28 | 1M |
| GPT-4o mini | OpenAI | $0.15 | $0.60 | 128K |
| GPT-5 mini | OpenAI | $0.25 | $2.00 | 272K |
| Claude Haiku 4.5 | Anthropic | $1.00 | $5.00 | 200K |
If absolute lowest cost is the goal, Gemini Flash Lite at $0.075/M or DeepSeek V4 Flash at $0.14/M beat both. But GPT-5 mini offers the best balance of price, performance, and context window among models from major providers.
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The Bottom Line
For most budget-conscious developers, GPT-5 mini is the clear winner. It's 75% cheaper on input tokens, has a larger context window, and handles the vast majority of use cases well. The savings compound fast — $450/year for a chatbot, $1,350/year for a code assistant, $13,500/year for high-volume data processing.
Claude Haiku 4.5 makes sense if you need Anthropic's safety guarantees, complex instruction following, or are already invested in the Claude ecosystem. The 4x price premium is justified for enterprise and safety-critical workloads.
The smart move? Start with GPT-5 mini for cost optimization, and keep Claude Haiku in your back pocket for tasks that need Anthropic's specific strengths. Use multi-model routing to get the best of both worlds.
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