GPT-4o
OpenAI • text+image+file->text
Context Window128K
Knowledge CutoffMay 13, 2024
GPT-4o vs Claude 3 Opus
Claude 3 Opus for highest reasoning quality, GPT-4o for production ecosystem and speed.
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Claude 3 Opus
Unknown • Unknown
Context WindowUnknown
Knowledge CutoffUnknown
Editorial Verdict
Claude 3 Opus prioritizes maximum reasoning quality; GPT-4o prioritizes production readiness and cost efficiency.
Claude 3 Opus represents Anthropic's highest capability model and outperforms GPT-4o on the most demanding reasoning and analysis tasks. GPT-4o maintains advantages in speed, API maturity, and multimodal consistency. For maximum quality on complex problems where budget is secondary, Claude 3 Opus is the winner. For production applications where latency and cost matter, GPT-4o is the practical choice.
GPT-4o
- Battle-tested production API with global availability and enterprise SLA guarantees
- Strong multimodal performance across vision, audio, and video in a unified model
- Lower cost per token than Claude 3 Opus with faster average response times
Best for: Production applications, cost-sensitive deployments, and multimodal use cases requiring API maturity
Claude 3 Opus
- Highest benchmark scores on complex reasoning, graduate-level science, and multi-step analysis
- Better handling of ambiguous or underspecified prompts without clarification requests
- More consistent outputs on long, structured tasks like legal document review or research synthesis
Best for: High-stakes analysis, research-grade reasoning, and tasks where quality is paramount
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 | Claude 3 Opus | Winner |
|---|---|---|---|
| Input (per 1M tokens) | $2.50 | Custom | 🏆 GPT-4o |
| Output (per 1M tokens) | $10.00 | Custom | 🏆 GPT-4o |
| 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 Total
$237.5Claude 3 Opus Total
VariableSavings unavailable (pricing not published for one model).
Capability Signals
Scores are directional estimates from model metadata — not official benchmark results.
GPT-4oMMLU Signal (Reasoning)Claude 3 Opus
69%
N/A
GPT-4oHumanEval Signal (Coding)Claude 3 Opus
76%
N/A
GPT-4oAgentic Tooling SignalClaude 3 Opus
84%
N/A
GPT-4oMultimodal SignalClaude 3 Opus
78%
N/A
Capabilities Matrix
Feature highlights for architecture and production fit.
GPT-4o 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 Opus Strengths
- Live capability metadata is currently unavailable for this model.
- Re-check after the next OpenRouter catalog refresh.
- Use provider docs for exact benchmark claims.
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",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Unknown (Python)
# Model metadata unavailable # See provider docs for API usage.
Choose GPT-4o 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 Opus when...
- Use Claude 3 Opus when this provider is required by policy constraints.
- Validate performance with your own evaluation set before production rollout.
- Confirm final cost in the provider dashboard for your deployment region.
Frequently Asked Questions
Practical checks before selecting a production model.
Is GPT-4o better than Claude 3 Opus?
It depends on the workload. GPT-4o and Claude 3 Opus 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 and Claude 3 Opus?
GPT-4o: $2.50 per 1M input tokens. Claude 3 Opus: N/A 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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