GPT-4o-mini
OpenAI • text+image+file->text
Context Window128K
Knowledge CutoffJul 18, 2024
GPT-4o-mini vs Claude 3.5 Haiku
GPT-4o mini for OpenAI ecosystem integration, Claude 3.5 Haiku for Anthropic reliability in high-volume applications.
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Claude 3.5 Haiku
Anthropic • text+image->text
Context Window200K
Knowledge CutoffNov 4, 2024
Editorial Verdict
GPT-4o mini offers much higher capability at minimal extra cost; Haiku is the ultra-budget option for simple tasks.
GPT-4o mini and Claude 3.5 Haiku are both excellent small models optimized for speed and cost. GPT-4o mini is the more capable of the two, outperforming Haiku on most benchmarks while maintaining low cost. Claude 3.5 Haiku is the fastest and cheapest, making it ideal for high-volume, simple tasks. For anything beyond basic extraction or classification, GPT-4o mini is the better choice.
GPT-4o-mini
- Significantly higher capability on reasoning, coding, and instruction-following benchmarks
- 128K context window — 4x larger than Haiku's 32K for longer document processing
- Better at complex multi-step tasks despite being a 'mini' model
Best for: Complex mini tasks, longer document processing, and applications needing strong capability at low cost
Claude 3.5 Haiku
- Fastest inference of any capable model — ideal for real-time, latency-sensitive applications
- Lowest cost per token of any frontier-tier capable model
- Excellent for simple extraction, classification, and summarization at scale
Best for: Ultra-high-volume simple tasks, real-time extraction, and maximum cost savings
Pricing sourced from OpenRouter — updates as their catalog changes.
Pricing Comparison
All values pull from OpenRouter and update as their catalog changes.
| Metric | GPT-4o-mini | Claude 3.5 Haiku | Winner |
|---|---|---|---|
| Input (per 1M tokens) | $0.15 | $0.80 | 🏆 GPT-4o-mini |
| Output (per 1M tokens) | $0.60 | $4.00 | 🏆 GPT-4o-mini |
| Request fee | N/A | N/A | N/A |
| Image fee | N/A | N/A | N/A |
Cost Estimator
Estimate monthly billing using real OpenRouter prices.
GPT-4o-mini Total
$14.25Claude 3.5 Haiku Total
$88Estimated Monthly Savings: $73.75 with GPT-4o-mini
Capability Signals
Scores are directional estimates from model metadata — not official benchmark results.
GPT-4o-miniMMLU Signal (Reasoning)Claude 3.5 Haiku
69%
69%
GPT-4o-miniHumanEval Signal (Coding)Claude 3.5 Haiku
76%
86%
GPT-4o-miniAgentic Tooling SignalClaude 3.5 Haiku
84%
84%
GPT-4o-miniMultimodal SignalClaude 3.5 Haiku
78%
78%
Capabilities Matrix
Feature highlights for architecture and production fit.
GPT-4o-mini Strengths
- Supports image inputs for multimodal analysis workflows.
- Strong tool-calling and structured response support.
- Balanced general-purpose profile for chat, extraction, and automation tasks.
Claude 3.5 Haiku Strengths
- Supports image inputs for multimodal analysis workflows.
- Strong tool-calling and structured response support.
- Large context window for long documents and codebases.
API Implementation
Quick start snippets for each provider style.
OpenAI (Python)
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="openai/gpt-4o-mini",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Anthropic (Python)
import anthropic
client = anthropic.Anthropic()
message = client.messages.create(
model="anthropic/claude-3.5-haiku",
max_tokens=1024,
messages=[{"role": "user", "content": "Hello"}]
)
print(message.content)Choose GPT-4o-mini when...
- Your application includes visual reasoning and image understanding tasks.
- You rely on function calling, tool chaining, and structured output contracts.
- You want a balanced default for mixed chat and workflow automation workloads.
Choose Claude 3.5 Haiku when...
- Your application includes visual reasoning and image understanding tasks.
- You process large documents or code repositories in a single prompt.
- You rely on function calling, tool chaining, and structured output contracts.
Frequently Asked Questions
Practical checks before selecting a production model.
Is GPT-4o mini better than Claude 3.5 Haiku?
It depends on the workload. GPT-4o mini and Claude 3.5 Haiku differ in pricing, context window, and capability mix — see the side-by-side table above for the breakdown.
What's the price difference between GPT-4o mini and Claude 3.5 Haiku?
GPT-4o mini: $0.15 per 1M input tokens. Claude 3.5 Haiku: $0.80 per 1M input tokens. Output token pricing typically runs 2-5x higher.
Which model is better for coding?
Coding preference depends on your stack and tool-calling needs. Compare the coding signal row, test with your repository tasks, and validate latency in your target region.
Which model is cheaper at scale?
Input and output token pricing can diverge by workload profile. Use the estimator with your monthly request count and token mix to get a realistic cost difference.
Are these official benchmark numbers?
Pricing is live from OpenRouter. Benchmark rows are ModelsAtlas metadata-based signals and should be treated as directional guidance, not official leaderboard scores.
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