Claude Opus 4.7 vs DeepSeek R1 V3.2
Claude Opus 4.7 vs DeepSeek R1 V3.2: DeepSeek R1 V3.2 is cheaper for input-heavy usage ($0.28/M vs $5.00/M input tokens), while Claude Opus 4.7 is better for long-context tasks (1,000,000 tokens).
Direct answer: choose DeepSeek R1 V3.2 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 DeepSeek R1 V3.2 • Claude Opus 4.7 vs DeepSeek R1 V3.2 pricing • Claude Opus 4.7 vs DeepSeek R1 V3.2 API pricing and opus 4 7 vs r1 v3 2 pricing.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Claude Opus 4.7
DeepSeek R1 V3.2
Cost Differences
DeepSeek R1 V3.2 costs less than Claude Opus 4.7
Quick Recommendation
Winner for direct API pricing: DeepSeek R1 V3.2. At the default workload, DeepSeek R1 V3.2 saves about $51.03/month ($620.865/year) versus Claude Opus 4.7.
Feature Comparison
| Feature | Claude Opus 4.7 | DeepSeek R1 V3.2 |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Input Price | $5.00/1M tokens | $0.28/1M tokens |
| Output Price | $25.00/1M tokens | $0.42/1M tokens |
| Context Window | 1,000,000 tokens | 128,000 tokens |
| Max Output | 128,000 tokens | 65,536 tokens |
| Category | flagship | reasoning |
| Capabilities | textvisionreasoningcode | textreasoningcode |
| Release Date | 4/16/2026 | 1/20/2025 |
Claude Opus 4.7 vs DeepSeek R1 V3.2: Which Should You Choose?
Choosing between Claude Opus 4.7 and DeepSeek R1 V3.2 depends on your priorities: cost efficiency, context length, or raw capability. DeepSeek R1 V3.2 is the more affordable option at $0.28/1M input tokens — 94% cheaper than Claude Opus 4.7. Meanwhile, Claude Opus 4.7 offers a significantly larger context window at 1,000,000 tokens vs 128,000 for DeepSeek R1 V3.2.
These models come from different providers — Anthropic and DeepSeek — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Anthropic, switching to DeepSeekinvolves 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 DeepSeek R1 V3.2 is reasoning. This means they're optimized for different workloads. Claude Opus 4.7 is built for complex tasks that require deeper reasoning, while DeepSeek R1 V3.2 offers better value for routine operations.
Output costs matter too. Claude Opus 4.7 charges $25.00/1M output tokens vs $0.42 for DeepSeek R1 V3.2. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. DeepSeek R1 V3.2 has the edge here at $0.42/1M output tokens.
Multimodal capabilities: Claude Opus 4.7 supports vision (image inputs) while DeepSeek R1 V3.2 is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Claude Opus 4.7 when:
- • You need a larger context window (1,000,000 tokens)
- • You need more capabilities (vision)
- • You need longer outputs (up to 128,000 tokens)
- • You're already using Anthropic's API ecosystem
Choose DeepSeek R1 V3.2 when:
- • Budget is a primary concern
- • You're already using DeepSeek'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
- • Higher input cost than DeepSeek R1 V3.2
- • Higher output cost than DeepSeek R1 V3.2
DeepSeek R1 V3.2
- • Input pricing: $0.28/M tokens
- • Output pricing: $0.42/M tokens
- • Context window: 128,000 tokens
- • Max output: 65,536 tokens
Watch out for
- • 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)
DeepSeek R1 V3.2 (DeepSeek)
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Sign Up for DeepSeek →Frequently Asked Questions
Which is cheaper, Claude Opus 4.7 or DeepSeek R1 V3.2?▼
What is the context window difference between Claude Opus 4.7 and DeepSeek R1 V3.2?▼
Which model is better for AI Agent / Agentic Workflows?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare Anthropic and DeepSeek API pricing beyond this model matchup?▼
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