Claude vs GPT-4o — Full Comparison (2025)
Benchmarks, API pricing, context window, coding performance, and which model wins for each use case.
TL;DR — Quick verdict
- ✅ Pick Claude for: coding agents, long documents, instruction-following, reasoning
- ✅ Pick GPT-4o for: image generation (DALL-E 3), real-time voice, OpenAI ecosystem tools
- 💰 Price: GPT-4o slightly cheaper at scale; Claude Haiku 3.5 is cheapest overall
- 📏 Context: Claude wins — 200k vs 128k tokens
- 💻 Coding: Claude wins — 49% vs ~33% SWE-bench Verified
Head-to-head comparison
| Feature | Claude 3.7 Sonnet | GPT-4o |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Context window | 200,000 tokens ✅ | 128,000 tokens |
| SWE-bench coding | 49% (Verified) ✅ | ~33% |
| MMLU | ~90% | ~88% |
| API price (input) | $3.00 / M tokens | $2.50 / M tokens ✅ |
| API price (output) | $15.00 / M tokens | $10.00 / M tokens ✅ |
| Image generation | ❌ (read only) | ✅ DALL-E 3 built-in |
| Real-time voice | Limited | ✅ Advanced Voice Mode |
| Extended thinking | ✅ (budget tokens) | ❌ |
| Speed (latency) | Fast | Fast ✅ (slightly) |
| Web search | ✅ (tool use) | ✅ (built-in) |
| File upload / RAG | ✅ | ✅ |
| Function / tool calling | ✅ | ✅ |
| Free web access | claude.ai (free tier) | chatgpt.com (free tier) |
| API access | console.anthropic.com | platform.openai.com |
Coding — Claude wins
Claude 3.7 Sonnet scores 49% on SWE-bench Verified — real-world GitHub issues that require reading code, writing patches, and running tests. GPT-4o sits around 33%. This gap is why Cursor, Windsurf, and most AI coding tools default to Claude for agentic tasks.
Claude's extended thinking mode (enabled with a budget_tokens parameter) lets it reason through complex multi-step problems before responding — useful for architecture decisions, debugging obscure edge cases, and algorithm design.
Claude 3.7 Sonnet with extended thinking
{`import anthropic
client = anthropic.Anthropic()
response = client.messages.create(
model="claude-sonnet-4-5",
max_tokens=16000,
thinking={"type": "enabled", "budget_tokens": 10000},
messages=[{"role": "user", "content": "Debug this function..."}]
)`} Context window — Claude wins (200k vs 128k)
Claude's 200,000-token context holds roughly 150,000 words — an entire novel, a large codebase, or months of conversation history. GPT-4o's 128k (about 96,000 words) is generous but hits limits sooner on document-heavy workflows.
In practice, the difference matters most for: processing long PDFs, analyzing full GitHub repos, and maintaining context across long agentic sessions. If your use case involves documents over 50 pages or codebases over 100 files, Claude's larger window is a real advantage.
Pricing — GPT-4o slightly cheaper at scale
| Model | Input / 1M tokens | Output / 1M tokens |
|---|---|---|
| Claude 3.7 Sonnet | $3.00 | $15.00 |
| Claude 3.5 Haiku | $0.80 | $4.00 |
| Claude 3 Opus | $15.00 | $75.00 |
| GPT-4o | $2.50 | $10.00 |
| GPT-4o mini | $0.15 | $0.60 |
| o3 (OpenAI) | $10.00 | $40.00 |
For most workloads: GPT-4o is ~17% cheaper on input and 33% cheaper on output. At 100M tokens/month, that's a meaningful difference. For budget-sensitive use cases, GPT-4o mini ($0.15/M) is dramatically cheaper than anything Claude offers at the mini tier.
Image generation — GPT-4o wins
GPT-4o includes native DALL-E 3 image generation — you can request an image and receive it in the same API call. Claude can read and analyze images, but cannot generate them. If your app needs image generation, you'll need a separate tool (Stability AI, Replicate, etc.) when using Claude, or just use GPT-4o.
Which to pick for your use case
Coding agents & IDE tools
ClaudeHigher SWE-bench, better at multi-file edits, extended thinking for architecture decisions. Why Cursor and Windsurf default to Claude.
Long document analysis
Claude200k context vs 128k — fits more of your PDF, codebase, or conversation in one call. Better at "find the answer in this 300-page doc".
Image generation
GPT-4oNative DALL-E 3 integration — generate and edit images in one API call. Claude is read-only for images.
Real-time voice apps
GPT-4oAdvanced Voice Mode with low-latency audio. Claude's voice capabilities are more limited as of mid-2025.
High-volume / cost-sensitive
GPT-4o mini$0.15/M input — dramatically cheaper. Use for classification, summarization, routing, and other high-volume tasks.
Complex reasoning
Claude (extended thinking)Budget tokens for multi-step reasoning. OpenAI's o3 is the competitor here — but at $10/M input vs Claude's $3/M.
Writing & content
TieBoth are excellent. Claude tends to be more nuanced and less prone to em-dash overuse. GPT-4o is faster. Test with your specific prompts.
OpenAI ecosystem tools
GPT-4oAssistants API, fine-tuning, Batch API, ChatGPT plugins — if your stack is already OpenAI, stay there.
Check live API status
Anthropic (Claude)
OpenAI (GPT-4o)