Claude Opus 4.7 vs o3 Deep Research
Claude Opus 4.7 vs o3 Deep Research: Claude Opus 4.7 is cheaper for input-heavy usage ($5.00/M vs $10.00/M input tokens), while Claude Opus 4.7 is better for long-context tasks (1,000,000 tokens).
Direct answer: choose Claude Opus 4.7 for lower token spend and choose Claude Opus 4.7 when your workload needs longer context.
Common pricing searches covered on this page: Claude Opus 4.7 vs o3 Deep Research • Claude Opus 4.7 vs o3 Deep Research pricing • Claude Opus 4.7 vs o3 Deep Research API pricing and opus 4 7 vs o3 deep research pricing.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Claude Opus 4.7
o3 Deep Research
Cost Differences
o3 Deep Research costs more than Claude Opus 4.7
Quick Recommendation
Winner for direct API pricing: Claude Opus 4.7. At the default workload, Claude Opus 4.7 saves about $37.50/month ($456.25/year) versus o3 Deep Research.
Feature Comparison
| Feature | Claude Opus 4.7 | o3 Deep Research |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Input Price | $5.00/1M tokens | $10.00/1M tokens |
| Output Price | $25.00/1M tokens | $40.00/1M tokens |
| Context Window | 1,000,000 tokens | 200,000 tokens |
| Max Output | 128,000 tokens | 32,768 tokens |
| Category | flagship | reasoning |
| Capabilities | textvisionreasoningcode | textreasoningvisioncode |
| Release Date | 4/16/2026 | 6/26/2025 |
Claude Opus 4.7 vs o3 Deep Research: Which Should You Choose?
Choosing between Claude Opus 4.7 and o3 Deep Research depends on your priorities: cost efficiency, context length, or raw capability. Claude Opus 4.7 is the more affordable option at $5.00/1M input tokens — 50% cheaper than o3 Deep Research. Meanwhile, Claude Opus 4.7 offers a significantly larger context window at 1,000,000 tokens vs 200,000 for o3 Deep Research.
These models come from different providers — Anthropic and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Anthropic, switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Claude Opus 4.7 is a flagship model while o3 Deep Research is reasoning. This means they're optimized for different workloads. Claude Opus 4.7 is built for complex tasks that require deeper reasoning, while o3 Deep Research offers better value for routine operations.
Output costs matter too. Claude Opus 4.7 charges $25.00/1M output tokens vs $40.00 for o3 Deep Research. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Claude Opus 4.7 has the edge here at $25.00/1M output tokens.
Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.
Best Use Cases
Choose Claude Opus 4.7 when:
- • Budget is a primary concern
- • You need a larger context window (1,000,000 tokens)
- • You need longer outputs (up to 128,000 tokens)
- • You're already using Anthropic's API ecosystem
Choose o3 Deep Research when:
- • You're already using OpenAI's API ecosystem
Pros and Caveats at a Glance
Claude Opus 4.7
- • Input pricing: $5.00/M tokens
- • Output pricing: $25.00/M tokens
- • Context window: 1,000,000 tokens
- • Max output: 128,000 tokens
Watch out for
- • Trade-offs are minor in this matchup.
o3 Deep Research
- • Input pricing: $10.00/M tokens
- • Output pricing: $40.00/M tokens
- • Context window: 200,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher input cost than Claude Opus 4.7
- • Higher output cost than Claude Opus 4.7
- • Smaller context window than Claude Opus 4.7
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Claude Opus 4.7 (Anthropic)
o3 Deep Research (OpenAI)
Start using Claude Opus 4.7 today
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Sign Up for OpenAI →Frequently Asked Questions
Which is cheaper, Claude Opus 4.7 or o3 Deep Research?▼
What is the context window difference between Claude Opus 4.7 and o3 Deep Research?▼
Which model is better for AI Agent / Agentic Workflows?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare Anthropic and OpenAI API pricing beyond this model matchup?▼
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