o1
OpenAI • text+image+file->text
Context Window200K
Knowledge CutoffDec 17, 2024
o1 vs Claude 3.7 Sonnet
o1 for deliberate reasoning on hard problems, Claude 3.7 Sonnet for general coding and agentic tasks without reasoning overhead.
Open model page
Claude 3.7 Sonnet
Anthropic • text+image+file->text
Context Window200K
Knowledge CutoffFeb 24, 2025
Editorial Verdict
o1 is OpenAI's reasoning specialist; Claude 3.7 Sonnet is Anthropic's versatile coding specialist.
o1 and Claude 3.7 Sonnet serve different primary purposes — o1 is for hard reasoning problems; Claude 3.7 Sonnet is a versatile coding and analysis specialist. For hard math and science, o1 leads. For coding, general-purpose tasks, and production applications, Claude 3.7 Sonnet wins. The models complement each other.
o1
- State-of-the-art on hard math, competitive programming, and science benchmarks
- Extended internal reasoning chain for multi-step problem decomposition
- Battle-tested production reasoning with consistent quality
Best for: Hard math, science, and competitive programming reasoning tasks
Claude 3.7 Sonnet
- Versatile general-purpose model — best-in-class coding and instruction following
- Extended thinking mode for complex reasoning when needed
- 200K context with mature production API
Best for: General-purpose coding, analysis, and production applications
Pricing sourced from OpenRouter — updates as their catalog changes.
Pricing Comparison
All values pull from OpenRouter and update as their catalog changes.
| Metric | o1 | Claude 3.7 Sonnet | Winner |
|---|---|---|---|
| Input (per 1M tokens) | $15.00 | $3.00 | 🏆 Claude 3.7 Sonnet |
| Output (per 1M tokens) | $60.00 | $15.00 | 🏆 Claude 3.7 Sonnet |
| 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.
o1 Total
$1,425Claude 3.7 Sonnet Total
$330Estimated Monthly Savings: $1,095 with Claude 3.7 Sonnet
Capability Signals
Scores are directional estimates from model metadata — not official benchmark results.
o1MMLU Signal (Reasoning)Claude 3.7 Sonnet
87%
87%
o1HumanEval Signal (Coding)Claude 3.7 Sonnet
76%
76%
o1Agentic Tooling SignalClaude 3.7 Sonnet
84%
84%
o1Multimodal SignalClaude 3.7 Sonnet
78%
78%
Capabilities Matrix
Feature highlights for architecture and production fit.
o1 Strengths
- Supports image inputs for multimodal analysis workflows.
- Strong tool-calling and structured response support.
- Large context window for long documents and codebases.
Claude 3.7 Sonnet Strengths
- Supports image inputs for multimodal analysis workflows.
- Strong tool-calling and structured response support.
- Large context window for long documents and codebases.
API Implementation
Quick start snippets for each provider style.
OpenAI (Python)
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="openai/o1",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)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)Choose o1 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 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 rely on function calling, tool chaining, and structured output contracts.
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.
Related Comparisons
Explore adjacent model matchups.