Claude 3 Opus
Anthropic • Text + Vision
Context Window200K
Knowledge CutoffUnknown
Claude 3 Opus vs Gemini 1.5 Pro
Claude 3 Opus for nuanced analytical reasoning, Gemini 1.5 Pro for massive-scale multimodal understanding.
Open model page
Gemini 1.5 Pro
Google • Multimodal
Context Window1M
Knowledge CutoffUnknown
Editorial Verdict
Claude 3 Opus wins on reasoning quality; Gemini 1.5 Pro wins on context and multimodal.
Claude 3 Opus and Gemini 1.5 Pro are both premium flagship models from Anthropic and Google. Claude 3 Opus leads on nuanced reasoning and analysis quality. Gemini 1.5 Pro leads on context length (1M tokens) and multimodal processing. For analysis quality, choose Claude. For context and document processing, choose Gemini.
Claude 3 Opus
- Highest quality nuanced reasoning and analysis on complex tasks
- Superior instruction following and task completion reliability
- More natural, coherent outputs over very long conversations
Best for: High-stakes analysis, research synthesis, and maximum reasoning quality
Gemini 1.5 Pro
- 1M token context for processing entire large document collections
- Strong multimodal understanding with video frame analysis
- Lower cost per token than Claude 3 Opus with competitive capability
Best for: Long-document multimodal processing and large-scale text analysis
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 Opus | Gemini 1.5 Pro | 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 Opus Total
VariableGemini 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 OpusMMLU Signal (Reasoning)Gemini 1.5 Pro
76%
74%
Claude 3 OpusHumanEval Signal (Coding)Gemini 1.5 Pro
69%
74%
Claude 3 OpusAgentic Tooling SignalGemini 1.5 Pro
69%
74%
Claude 3 OpusMultimodal SignalGemini 1.5 Pro
78%
74%
Capabilities Matrix
Feature highlights for architecture and production fit.
Claude 3 Opus 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.
Gemini 1.5 Pro Strengths
- Large context window for long documents and codebases.
- 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-opus",
max_tokens=1024,
messages=[{"role": "user", "content": "Hello"}]
)
print(message.content)Google (Python)
from google import genai client = genai.Client(api_key="YOUR_API_KEY") response = client.models.generate_content( model="google/gemini-1.5-pro", contents="Hello" ) print(response.text)
Choose Claude 3 Opus 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 Gemini 1.5 Pro when...
- You process large documents or code repositories in a single prompt.
- 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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