Claude 3.7 Sonnet
Anthropic • text+image+file->text
Context Window200K
Knowledge CutoffFeb 24, 2025
Claude 3.7 Sonnet vs Gemini 1.5 Pro
Gemini 1.5 Pro for document and video analysis, Claude 3.7 Sonnet for image understanding and code generation.
Open model page
Gemini 1.5 Pro
Unknown • Unknown
Context WindowUnknown
Knowledge CutoffUnknown
Editorial Verdict
Claude 3.7 Sonnet wins on coding quality; Gemini 1.5 Pro wins on massive context processing.
Claude 3.7 Sonnet and Gemini 1.5 Pro are both top-tier models with different strengths. Claude 3.7 Sonnet leads on coding and instruction following precision. Gemini 1.5 Pro leads on context length (1M tokens) for processing large document sets. For coding, choose Claude. For massive document ingestion, choose Gemini.
Claude 3.7 Sonnet
- Industry-leading coding performance and instruction following precision
- Extended thinking mode for complex multi-step reasoning
- More predictable outputs with fewer hallucinations on ambiguous queries
Best for: Software development and complex coding tasks requiring precise instruction following
Gemini 1.5 Pro
- 1M token context for processing entire document collections at once
- Strong multimodal understanding with native video frame analysis
- Competitive pricing for the capability level offered
Best for: Long-document processing, multimodal analysis, and massive context applications
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 | Gemini 1.5 Pro | Winner |
|---|---|---|---|
| Input (per 1M tokens) | $3.00 | Custom | 🏆 Claude 3.7 Sonnet |
| Output (per 1M tokens) | $15.00 | Custom | 🏆 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.
Claude 3.7 Sonnet Total
$330Gemini 1.5 Pro 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)Gemini 1.5 Pro
87%
N/A
Claude 3.7 SonnetHumanEval Signal (Coding)Gemini 1.5 Pro
76%
N/A
Claude 3.7 SonnetAgentic Tooling SignalGemini 1.5 Pro
84%
N/A
Claude 3.7 SonnetMultimodal SignalGemini 1.5 Pro
78%
N/A
Capabilities Matrix
Feature highlights for architecture and production fit.
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.
Gemini 1.5 Pro 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.
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)Unknown (Python)
# Model metadata unavailable # See provider docs for API usage.
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.
Choose Gemini 1.5 Pro when...
- Use Gemini 1.5 Pro 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 Claude 3.7 Sonnet better than Gemini 1.5 Pro?
It depends on the workload. Claude 3.7 Sonnet and Gemini 1.5 Pro differ in pricing, context window, and capability mix — see the side-by-side table above for the breakdown.
What's the price difference between Claude 3.7 Sonnet and Gemini 1.5 Pro?
Claude 3.7 Sonnet: $3.00 per 1M input tokens. Gemini 1.5 Pro: 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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