DeepSeek V4 vs Claude Opus 4.7: A Detailed Head-to-Head Comparison
DeepSeek V4-Pro and Claude Opus 4.7 are two of the most capable AI models released in April 2026 — one open-source and budget-friendly, the other a closed-source frontier model from Anthropic. Here's how they stack up across benchmarks, pricing, capabilities, and real-world use cases.
At a Glance
| Feature | DeepSeek V4-Pro | Claude Opus 4.7 |
|---|---|---|
| Developer | DeepSeek | Anthropic |
| Release | April 24, 2026 | April 2026 |
| Total Parameters | 1.6T (MoE) | Undisclosed |
| Context Window | 1M tokens | ~1M tokens |
| API Input Price | $1.74 / 1M tokens | $5.00 / 1M tokens |
| API Output Price | $3.48 / 1M tokens | $25.00 / 1M tokens |
| Open Weights | ✅ Yes (MIT) | ❌ No |
| Reasoning Modes | Non-think / Think High / Think Max | Standard / Extended |
The headline: Claude Opus 4.7 costs ~7× more on output than DeepSeek V4-Pro.
Benchmark Comparison
Coding
| Benchmark | DeepSeek V4-Pro Max | Claude Opus 4.6 Max |
|---|---|---|
| LiveCodeBench (Pass@1) | 93.5% | 88.8% |
| Codeforces Rating | 3206 | N/A |
| SWE-bench Verified | 80.6% | 80.8% |
| SWE-bench Pro | 55.4% | 57.3% |
| SWE-bench Multilingual | 76.2% | 77.5% |
| Terminal Bench 2.0 | 67.9% | 65.4% |
Analysis: DeepSeek V4-Pro-Max leads on competitive coding (LiveCodeBench, Codeforces). Claude Opus 4.6 edges ahead on real-world applied software engineering (SWE-bench Verified, Pro, Multilingual) by a small margin.
Knowledge and Reasoning
| Benchmark | DeepSeek V4-Pro Max | Claude Opus 4.6 Max |
|---|---|---|
| MMLU-Pro | 87.5% | 89.1% |
| GPQA Diamond | 90.1% | 91.3% |
| HLE | 37.7% | 40.0% |
| SimpleQA-Verified | 57.9% | 46.2% |
| Apex Shortlist | 90.2% | 85.9% |
| HMMT 2026 Feb | 95.2% | 96.2% |
Analysis: Claude edges ahead on MMLU-Pro, GPQA Diamond, and HLE — suggesting stronger general scientific and academic knowledge. DeepSeek V4-Pro wins on factual recall (SimpleQA-Verified) and the Apex Shortlist reasoning benchmark.
Long-Context Performance
| Benchmark | DeepSeek V4-Pro Max | Claude Opus 4.6 Max |
|---|---|---|
| MRCR 1M (MMR) | 83.5% | 92.9% |
| CorpusQA 1M (ACC) | 62.0% | 71.7% |
Analysis: Claude Opus 4.6 leads significantly on MRCR 1M (needle-in-haystack over 1M tokens), suggesting it has superior architectural optimizations for precise information retrieval at extreme lengths. V4-Pro still delivers strong CorpusQA results.
Agentic Tasks
| Benchmark | DeepSeek V4-Pro Max | Claude Opus 4.6 Max |
|---|---|---|
| Terminal Bench 2.0 | 67.9% | 65.4% |
| SWE-bench Verified | 80.6% | 80.8% |
| BrowseComp | 83.4% | 83.7% |
| MCPAtlas Public | 73.6% | 73.8% |
| Toolathlon | 51.8% | 47.2% |
| HLE w/ tools | 48.2% | 53.1% |
| GDPval-AA (Elo) | 1554 | 1619 |
Analysis: These two models are remarkably close on agentic tasks. Claude has a meaningful edge on tool-use (HLE w/ tools) and GDPval-AA, while DeepSeek leads on Terminal Bench 2.0 and Toolathlon.
Pricing Deep Dive
For a high-volume application generating 10M output tokens per day:
| Model | Daily Output Cost |
|---|---|
| DeepSeek V4-Pro | $34.80 |
| Claude Opus 4.7 | $250.00 |
| Savings with DeepSeek | $215.20/day ($78,500/year) |
For most companies running production AI workloads, this represents a transformative cost difference.
Where Each Model Excels
DeepSeek V4-Pro Wins On:
- ✅ Competitive programming (Codeforces 3206 vs N/A)
- ✅ Factual recall (SimpleQA-Verified: 57.9% vs 46.2%)
- ✅ Hard reasoning patterns (Apex Shortlist: 90.2% vs 85.9%)
- ✅ Terminal-based agentic tasks (67.9% vs 65.4%)
- ✅ Price (3.5× cheaper on output)
- ✅ Open weights (MIT license, self-hostable)
Claude Opus 4.7 Wins On:
- ✅ Scientific/academic knowledge (MMLU-Pro, GPQA Diamond)
- ✅ Long-document precision retrieval (MRCR 1M: 92.9% vs 83.5%)
- ✅ Real-world code patch application (SWE-bench Pro: 57.3% vs 55.4%)
- ✅ Tool-use and complex agentic pipelines (HLE w/ tools)
- ✅ Constitutional AI safety and content policy alignment
- ✅ Anthropic's trust and safety guarantees
Which Should You Choose?
Choose DeepSeek V4-Pro if:
- Budget efficiency is a priority
- You need open weights for fine-tuning or private deployment
- Your primary tasks involve coding or factual Q&A
- You're comfortable self-hosting or using DeepSeek's API
- Competitive programming or algorithm tasks are core to your work
Choose Claude Opus 4.7 if:
- Long-document retrieval precision is critical (legal, compliance, document review)
- Scientific and academic accuracy is paramount
- You need Anthropic's safety and alignment guarantees
- You're already deeply integrated into Anthropic's ecosystem (Claude Code, etc.)
- Complex multi-tool agent workflows with heavy tool-calling requirements
Using Both Together
Many sophisticated AI systems use multiple models in combination:
- Route high-volume, cost-sensitive tasks to DeepSeek V4-Flash
- Route medium-complexity tasks to DeepSeek V4-Pro
- Reserve Claude Opus 4.7 for the narrow subset of tasks where its specific advantages matter (precision document retrieval, deep scientific analysis)
This hybrid approach, used by platforms like Framia.pro, balances performance and cost across diverse workload types.
Conclusion
DeepSeek V4-Pro and Claude Opus 4.7 are closer than ever before. V4-Pro has surpassed Opus 4.6 on several key benchmarks and undercuts it dramatically on price. For most production use cases, DeepSeek V4-Pro is the better value — but Claude retains meaningful advantages in long-document retrieval, scientific reasoning, and tool-use that make it the right choice for specific high-stakes applications.