Claude 3.7 Sonnet
Anthropic • Text + Vision
Context Window200K
Knowledge CutoffUnknown
Claude 3.7 Sonnet vs GPT-4o
Claude 3.7 Sonnet for agentic coding and long-file editing, GPT-4o for speed and OpenAI ecosystem tooling.
Open model page
GPT-4o
OpenAI • Multimodal
Context Window128K
Knowledge CutoffUnknown
Editorial Verdict
Claude 3.7 Sonnet wins on coding depth; GPT-4o wins on general versatility and multimodal.
Claude 3.7 Sonnet and GPT-4o are both top-tier models, but Claude 3.7 Sonnet is the better choice for software development and complex coding tasks. GPT-4o is the better choice for production applications requiring multimodal capabilities and mature API tooling. For pure coding quality, Claude 3.7 Sonnet wins. For general versatility, GPT-4o wins.
Claude 3.7 Sonnet
- Industry-leading code generation, debugging, and multi-file codebase understanding
- Better instruction following for precise implementation of complex specifications
- Extended thinking mode for complex architectural decisions and code reviews
Best for: Software development teams, complex coding tasks, and code review workflows
GPT-4o
- Multimodal capabilities across text, images, audio, and video
- Mature API ecosystem with extensive tooling and function calling
- Better for production applications requiring diverse task types
Best for: Multimodal production applications and teams needing versatile general-purpose AI
Pricing sourced from OpenRouter — updates as their catalog changes.
Pricing Comparison
All values pull from OpenRouter and update as their catalog changes.
| Metric | Claude 3.7 Sonnet | GPT-4o | Winner |
|---|---|---|---|
| Input (per 1M tokens) | Custom | Custom | N/A |
| Output (per 1M tokens) | Custom | Custom | N/A |
| 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.
Claude 3.7 Sonnet Total
VariableGPT-4o Total
VariableSavings unavailable (pricing not published for one model).
Capability Signals
Scores are directional estimates from model metadata — not official benchmark results.
Claude 3.7 SonnetMMLU Signal (Reasoning)GPT-4o
69%
69%
Claude 3.7 SonnetHumanEval Signal (Coding)GPT-4o
69%
69%
Claude 3.7 SonnetAgentic Tooling SignalGPT-4o
69%
69%
Claude 3.7 SonnetMultimodal SignalGPT-4o
78%
69%
Capabilities Matrix
Feature highlights for architecture and production fit.
Claude 3.7 Sonnet Strengths
- Supports image inputs for multimodal analysis workflows.
- Large context window for long documents and codebases.
- Balanced general-purpose profile for chat, extraction, and automation tasks.
GPT-4o Strengths
- Balanced general-purpose profile for chat, extraction, and automation tasks.
API Implementation
Quick start snippets for each provider style.
Anthropic (Python)
import anthropic
client = anthropic.Anthropic()
message = client.messages.create(
model="anthropic/claude-3.7-sonnet",
max_tokens=1024,
messages=[{"role": "user", "content": "Hello"}]
)
print(message.content)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)Choose Claude 3.7 Sonnet when...
- Your application includes visual reasoning and image understanding tasks.
- You process large documents or code repositories in a single prompt.
- You want a balanced default for mixed chat and workflow automation workloads.
Choose GPT-4o when...
- You want a balanced default for mixed chat and workflow automation workloads.
- You can measure quality with your own benchmark and prompt set.
Frequently Asked Questions
Practical checks before selecting a production model.
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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