Claude 3.5 Haiku vs GPT-4o mini: Next-Gen Fast AI Coding & Extraction
Comparing Claude 3.5 Haiku and GPT-4o mini across SWE-Bench Verified (40.6% vs 13.1%), HumanEval coding benchmarks, token latency, and developer pricing.
Claude 3.5 Haiku
by Anthropic
Anthropic's next-generation lightweight model. Matches previous flagships on coding and reasoning benchmarks with high throughput and 200K context.
View model details
GPT-4o mini
by OpenAI
OpenAI's lightweight multimodal model optimized for cost efficiency, fast chat response, and vision analysis.
View model detailsOur Pick: Claude 3.5 Haiku
Claude 3.5 Haiku is the superior coding model with an unmatched 40.6% SWE-Bench score and 200k context window, while GPT-4o mini offers superior economics ($0.15/M) and vision support.
Benchmark Performance
Side-by-side results on major industry benchmarks (higher is better)
Feature Comparison
Compare core capabilities and tool support.
| Feature | Claude 3.5 Haiku | GPT-4o mini |
|---|---|---|
| Text & Code Generation | ||
| Image & Vision Understanding | ||
| Video & Audio Generation | ||
| Web Browsing / Search | ||
| Code Execution Environment | ||
| Autonomous Computer Use | ||
| Long Context Window | ||
| Multi-step Agentic Workflows | ||
| Custom Bots / Extensions | ||
| Fine-tuning |
Use Case Ratings
How each model performs in real-world scenarios (1-10).
| Use Case | Claude 3.5 Haiku | GPT-4o mini |
|---|---|---|
| Coding & Development | 9 | 8 |
| Writing & Content Creation | 8 | 8 |
| Research & Analysis | 8 | 8 |
| Creative Tasks | 8 | 8 |
| Data Analysis | 8 | 9 |
| Conversation & Nuance | 8 | 9 |
| Education & Tutoring | 8 | 8 |
| Math & Science | 8 | 8 |
| Summarization | 9 | 9 |
Pricing Comparison(Per 1M Tokens)
| Model | Input Tokens | Output Tokens | Blended Cost | Monthly (100M tokens) |
|---|---|---|---|---|
| Claude 3.5 Haiku | $0.80 | $4.00 | ~$1.60 | ~$160 |
| GPT-4o mini | $0.15 | $0.60 | ~$0.26 | ~$26 |
GPT-4o mini is 84% cheaper
For the same performance tier, GPT-4o mini offers exactly half the API cost of Claude 3.5 Haiku.
Pros & Cons
Claude 3.5 Haiku
- Remarkable 40.6% SWE-Bench score (surpasses GPT-4 and Claude 3 Opus)
- 200,000 token context window with prompt caching support
- Superb instruction-following and code syntax precision
- High throughput (~125 tokens/sec)
- More expensive than GPT-4o mini ($0.80/$4.00 vs $0.15/$0.60 per 1M tokens)
- Text-only input at launch (no vision modality)
GPT-4o mini
- Extremely cheap ($0.15 in / $0.60 out per 1M tokens)
- Native vision and diagram analysis
- Blazing fast generation speed (~140 tokens/sec)
- 16k max output token window
- SWE-Bench score (13.1%) is far behind Claude 3.5 Haiku (40.6%)
- Smaller context window (128K vs 200K tokens)
Frequently Asked Questions
How does Claude 3.5 Haiku perform on coding benchmarks?
Claude 3.5 Haiku scores 40.6% on SWE-Bench Verified and 88.9% on HumanEval, rivaling previous frontier flagships like Claude 3 Opus and GPT-4.
Which model is more affordable between Haiku and GPT-4o mini?
GPT-4o mini is cheaper ($0.15/M input and $0.60/M output vs Haiku's $0.80/M input and $4.00/M output), making GPT-4o mini more cost-effective for simple classification and basic text tasks.
Final Takeaway
Choose Claude 3.5 Haiku for automated software engineering, multi-file code editing, and complex prompt following. Choose GPT-4o mini if your application requires the absolute lowest API price ($0.15/$0.60 per 1M tokens) or visual OCR tasks.
Detailed In-Depth Analysis
Software Engineering: Haiku's Leap Forward
The critical differentiator between Claude 3.5 Haiku and GPT-4o mini is software engineering capability:
- SWE-Bench Verified: Claude 3.5 Haiku scores 40.6%, which actually exceeds Anthropic's previous flagship, Claude 3 Opus (38.4%), and easily outperforms GPT-4o mini's 13.1%.
- Context & Caching: Claude 3.5 Haiku features a 200,000 token context window, supporting Anthropic's Prompt Caching to reduce read latency and input costs down to $0.08 / 1M tokens.
When to Choose Which Model
- Choose Claude 3.5 Haiku when building code agents, GitHub PR review bots, or complex multi-step reasoning workflows where accuracy is non-negotiable.
- Choose GPT-4o mini for high-volume customer support chat, classification pipelines, or applications with heavy image analysis.
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