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💰 Budget LLM Showdown

GPT-4o Mini vs Claude Haiku:
Cheapest LLM API 2026

The two leading budget AI models, head-to-head. GPT-4o Mini is 5x cheaper — but Claude Haiku punches back on quality and context. Here's the full breakdown.

⏱ Pricing verified May 2026

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Provider Overview

OpenAI
GPT-4o Mini
OpenAI's cost-optimized model for high-volume tasks. Strong general reasoning at a fraction of GPT-4o's price. Ideal for classification, summarization, and simple chat at scale.
Input: $0.15 / 1M tokens  ·  Output: $0.60 / 1M tokens
Anthropic
Claude 3.5 Haiku
Anthropic's budget-tier model with a 200K context window. Outperforms GPT-4o Mini on complex instruction-following and nuanced tasks, but costs 5–7x more per token.
Input: $0.80 / 1M tokens  ·  Output: $4.00 / 1M tokens
Input Price
✓ GPT-4o Mini wins
$0.15 vs $0.80
5.3x cheaper per 1M tokens
Output Price
✓ GPT-4o Mini wins
$0.60 vs $4.00
6.7x cheaper per 1M tokens
Context Window
✓ Claude Haiku wins
200K vs 128K
56% larger context
Output Quality
✓ Claude Haiku wins
Better reasoning
Complex tasks & instructions
Speed
≈ Comparable
Both fast
Low-latency inference
Best For
✓ High-volume batches
vs quality tasks
Cost vs capability tradeoff

Head-to-Head Pricing — May 2026

Model Input (per 1M) Output (per 1M) Context Provider
GPT-4o Mini $0.15 $0.60 128K OpenAI
Claude 3.5 Haiku $0.80 $4.00 200K Anthropic
Nearby models for context
GPT-4.1 Nano $0.10 $0.40 128K OpenAI
GPT-4o $2.50 $10.00 128K OpenAI
Claude Sonnet 4.5 $3.00 $15.00 200K Anthropic

Cost Calculator

1M tokens
200K tokens
GPT-4o Mini · Monthly
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Claude Haiku · Monthly
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When to Choose Each

✅ Choose GPT-4o Mini when
Cost is the primary constraint
At $0.15/M input, GPT-4o Mini is the go-to for high-volume classification, moderation, embeddings preprocessing, and simple chatbots where 5x cost savings outweigh quality differences.
✅ Choose Claude Haiku when
Quality matters more than price
Claude Haiku delivers significantly better instruction-following and reasoning on complex tasks. If errors cost you money (wrong classifications, bad code), Haiku's quality advantage justifies the premium.
✅ Choose GPT-4o Mini when
Running batch inference at scale
Processing millions of documents, running content pipelines, or bulk labeling? At scale, the 5x cost gap compounds fast. GPT-4o Mini is the clear budget choice for throughput-heavy workloads.
✅ Choose Claude Haiku when
Long documents & large context
Claude Haiku's 200K context window (vs 128K for GPT-4o Mini) handles longer codebases, documents, and conversation histories without chunking. Meaningful advantage for RAG and document analysis.
✅ Choose GPT-4o Mini when
Latency-sensitive real-time apps
Both models are fast, but GPT-4o Mini's lighter footprint makes it predictably snappy. For real-time autocomplete, instant responses, or interactive features where every millisecond counts.
⚖️ Consider either when
Building your first AI feature
Start with GPT-4o Mini to understand your token economics. Benchmark both on your specific task. The cheapest model that meets your quality bar wins — run the test before committing.

Use Case Recommendations

Use Case Recommended Model Reason
Content classification / moderation GPT-4o Mini Simple binary tasks; cost matters most at volume
Customer support chatbot Claude Haiku Better instruction-following reduces bad responses
Bulk document summarization GPT-4o Mini 5x savings on high-volume batch jobs
Code generation / review Claude Haiku Higher quality output; bugs are expensive
Long document analysis (RAG) Claude Haiku 200K context vs 128K; fewer chunking headaches
Data extraction / parsing GPT-4o Mini Structured output on simple schemas; cost-efficient
Multi-step reasoning / agents Claude Haiku More reliable on complex instructions and tool use
Email drafting / writing Claude Haiku Noticeably better prose quality
High-volume sentiment analysis GPT-4o Mini Simple enough task; 5x cost savings wins

Frequently Asked Questions

Is GPT-4o Mini cheaper than Claude Haiku? +
Yes, significantly. GPT-4o Mini costs $0.15/M input and $0.60/M output. Claude 3.5 Haiku costs $0.80/M input and $4.00/M output. That's a 5.3x difference on input and 6.7x on output. For high-volume workloads, this gap compounds fast — 10M daily input tokens costs $45/month with GPT-4o Mini vs $240/month with Claude Haiku.
Which is the cheapest LLM API available in 2026? +
GPT-4.1 Nano ($0.10/M input) is currently the cheapest capable LLM from a major provider. GPT-4o Mini ($0.15/M) is a close second. Among Anthropic's models, Claude Haiku ($0.80/M) is the most affordable but is significantly more expensive than OpenAI's budget options. See our full cheapest models comparison for the complete ranked list.
When should I use Claude Haiku instead of GPT-4o Mini? +
Use Claude Haiku when output quality genuinely matters for your use case — code generation, customer-facing responses, complex reasoning, or tasks where errors have real costs. Also choose Haiku when you need the larger 200K context window for processing long documents or maintaining extended conversation history without chunking.
What context window do GPT-4o Mini and Claude Haiku support? +
GPT-4o Mini supports a 128K token context window. Claude 3.5 Haiku supports 200K tokens — 56% larger. If your use case involves long documents, large codebases, or extended multi-turn conversations, Claude Haiku's context advantage may justify its higher price.
How do I calculate my monthly cost for these models? +
Use the calculator on this page — enter your daily input and output token volumes and it calculates monthly costs for both models. For GPT-4o Mini: (input tokens × $0.00000015) + (output tokens × $0.0000006) × 30 days. For Claude Haiku: (input × $0.0000008) + (output × $0.000004) × 30 days. Most workloads are input-heavy, which is where GPT-4o Mini's advantage is largest.

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