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.
Quick Verdict
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.
Anthropic's Claude 3.5 Haiku and OpenAI's GPT-4o mini represent the frontier of fast, lightweight models. While previous generations of small models were limited to simple classification, Claude 3.5 Haiku scores an astonishing 40.6% on SWE-Bench Verified, outperforming previous flagship models (like Claude 3 Opus and GPT-4) at rapid speeds.
Models at a Glance
Claude 3.5 Haiku
by Anthropic
Pay-as-you-go API
Anthropic API
GPT-4o mini
by OpenAI
Free / Plus ($20/mo)
ChatGPT Plus
Capabilities Comparison
| Capability | Claude 3.5 Haiku | GPT-4o mini |
|---|---|---|
| Text Generation | ||
| Code Generation | ||
| Image Generation | ||
| Vision / Image Understanding | ||
| Video Generation | ||
| Audio / Voice Generation | ||
| Web Browsing / Search | ||
| Code Execution | ||
| Function Calling | ||
| Structured Output (JSON) | ||
| Advanced Reasoning (CoT) | ||
| File Upload & Analysis | ||
| Fine-Tuning | ||
| Plugins / Extensions | ||
| Memory / History | ||
| Agentic Capabilities | ||
| Custom Bots |
Use Case Ratings
Claude 3.5 Haiku
GPT-4o mini
Benchmark Scores
| Benchmark | Claude 3.5 Haiku | GPT-4o mini |
|---|---|---|
| MMLU (Knowledge) | 80.9% | 82.0% |
| MMLU-Pro | 69.2% | 64.8% |
| HumanEval (Coding) | 88.9% | 87.2% |
| GPQA (Graduate Q&A) | 41.6% | 40.2% |
| MATH (Competition) | 69.4% | 70.2% |
| GSM8K (Grade Math) | 88.9% | 91.0% |
| ARC (Reasoning) | 92.0% | 92.8% |
| HellaSwag | 91.8% | 91.5% |
| MT-Bench | 8.90 | 8.85 |
| LMSYS Arena ELO | 1265 | 1272 |
| SWE-Bench | 40.6% | 13.1% |
Feature-by-Feature Comparison
| Feature | Claude 3.5 Haiku | GPT-4o mini |
|---|---|---|
| SWE-Bench Verified (Coding Precision) | 40.6% (Matches Claude 3 Opus) | 13.1% |
| API Input Cost per 1M Tokens | $0.80 / M | $0.15 / M (Lowest Cost) |
| Context Window | 200,000 tokens | 128,000 tokens |
| Native Vision Analysis | Text Only | Yes (Multimodal Vision) |
Pricing Comparison
| Plan | Claude 3.5 Haiku | GPT-4o mini |
|---|---|---|
| Free Version | ||
| Subscription | Pay-as-you-go API | Free / Plus ($20/mo) |
| API Input (1M tokens) | $0.80 | $0.15 |
| API Output (1M tokens) | $4.00 | $0.60 |
Pros & Cons
Claude 3.5 Haiku
✅ Pros
- 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)
❌ Cons
- 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
✅ Pros
- 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
❌ Cons
- SWE-Bench score (13.1%) is far behind Claude 3.5 Haiku (40.6%)
- Smaller context window (128K vs 200K tokens)
🏆 Who Wins in Each Category?
Best for Automated Code Agents
40.6% SWE-Bench Verified score rivals previous flagship models.
Best for Ultra Low-Cost APIs
$0.15 input / $0.60 output per 1M tokens.
Best Context Size
200,000 tokens with prompt caching support.
Our 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.
Try Claude 3.5 HaikuSoftware 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.
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.
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