Claude 3.5 Sonnet
Anthropic • text+image+file->text
Context Window200K
Knowledge CutoffOct 22, 2024
Claude 3.5 Sonnet vs GPT-4o
GPT-4o for newer model and multimodal, Claude 3.5 Sonnet for proven coding reliability at a similar price.
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GPT-4o
OpenAI • text+image+file->text
Context Window128K
Knowledge CutoffMay 13, 2024
Editorial Verdict
GPT-4o is the higher-capability model; Claude 3.5 Sonnet is the best value choice.
GPT-4o outperforms Claude 3.5 Sonnet on most benchmarks, but the gap is small and Claude 3.5 Sonnet is significantly cheaper. For maximum quality, GPT-4o wins. For best value, Claude 3.5 Sonnet wins — delivering 90% of GPT-4o's quality at a fraction of the cost.
Claude 3.5 Sonnet
- Higher benchmark scores on reasoning, coding, and instruction following
- Multimodal capabilities across text, images, audio, and video
- Mature API ecosystem with reliable function calling and structured output
Best for: Maximum quality requirements and complex multimodal applications
GPT-4o
- Significantly lower cost per token than GPT-4o
- Excellent coding performance with strong instruction following
- Fast inference for real-time applications
Best for: Cost-sensitive applications where Claude 3.5 Sonnet capability is sufficient
Pricing sourced from OpenRouter — updates as their catalog changes.
Pricing Comparison
All values pull from OpenRouter and update as their catalog changes.
| Metric | Claude 3.5 Sonnet | GPT-4o | Winner |
|---|---|---|---|
| Input (per 1M tokens) | $6.00 | $2.50 | 🏆 GPT-4o |
| Output (per 1M tokens) | $30.00 | $10.00 | 🏆 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.
Claude 3.5 Sonnet Total
$660GPT-4o Total
$237.5Estimated Monthly Savings: $422.5 with GPT-4o
Capability Signals
Scores are directional estimates from model metadata — not official benchmark results.
Claude 3.5 SonnetMMLU Signal (Reasoning)GPT-4o
69%
69%
Claude 3.5 SonnetHumanEval Signal (Coding)GPT-4o
76%
76%
Claude 3.5 SonnetAgentic Tooling SignalGPT-4o
84%
84%
Claude 3.5 SonnetMultimodal SignalGPT-4o
78%
78%
Capabilities Matrix
Feature highlights for architecture and production fit.
Claude 3.5 Sonnet Strengths
- Supports image inputs for multimodal analysis workflows.
- Strong tool-calling and structured response support.
- Large context window for long documents and codebases.
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.
API Implementation
Quick start snippets for each provider style.
Anthropic (Python)
import anthropic
client = anthropic.Anthropic()
message = client.messages.create(
model="anthropic/claude-3.5-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 3.5 Sonnet when...
- Your application includes visual reasoning and image understanding tasks.
- You process large documents or code repositories in a single prompt.
- You rely on function calling, tool chaining, and structured output contracts.
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.
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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