Head-to-head · Updated
Data verifiedDeepSeek R1 and Claude Opus 4.7 sit at opposite ends of the price spectrum but both target high-reasoning, high-complexity tasks. DeepSeek R1 costs $0.55/1M input — 9× cheaper than Opus 4.7's $5/1M — and was built specifically for chain-of-thought reasoning. Claude Opus 4.7 leads on coding (SWE-Bench Pro 64.3%), has a 1M token context window, and is a more capable all-rounder. For pure structured reasoning at budget cost, DeepSeek R1 is exceptional. For frontier coding, complex multi-task workflows, and maximum quality, Claude Opus 4.7 is worth the premium.
DeepSeek R1
Open-source o1-class reasoning at a fraction of the cost.
Claude Opus 4.7
Previous Opus flagship, now superseded by Claude Opus 4.8 at the same price.
Winner| DeepSeek R1 | Claude Opus 4.7 | |
|---|---|---|
| Input cost / 1M tokens | $$0.55/1M | $$5.00/1M |
| Output cost / 1M tokens | $$2.19/1M | $$25.00/1M |
| Context window | 128k tokens | 1M tokens |
| Speed | Deliberate | Deliberate |
| Price tier | Budget | Premium |
| Benchmarks | ||
| SWE-bench (coding) | 49.2% | 80% |
| Arena Elo | 1,320 | 1,800 |
| MMLU | 90.8% | 92% |
Which model wins for each use case — and why.
DeepSeek R1 was purpose-built for chain-of-thought reasoning and matches o1-level performance on math and logic benchmarks at 9× lower cost.
Claude Opus 4.7 leads SWE-Bench Pro at 64.3%. DeepSeek R1 is strong at algorithmic problems but Claude is significantly better at real-world software engineering.
DeepSeek R1 at $0.55/1M input is 9× cheaper than Claude Opus 4.7 at $5/1M. For high-volume reasoning tasks, the savings are transformative.
DeepSeek R1 is a deliberate thinking model — slow by design. Claude Opus 4.7 is faster for production workflows where latency matters.
Claude Opus 4.7 handles coding, writing, vision, and research equally well. DeepSeek R1 is optimised for reasoning and can be inconsistent on diverse open-ended tasks.
Pick DeepSeek R1 if…
Pick Claude Opus 4.7 if…
Bottom line
For most workflows, Claude Opus 4.7 is the stronger choice.
Superseded by Opus 4.8 (May 27, 2026) which scores 69.2% SWE-Bench Pro vs 64.3% here — at the same price. For existing pinned integrations Opus 4.7 still works well, but new deployments should use Opus 4.8.
Is DeepSeek R1 better than Claude Opus for reasoning?
For pure mathematical and logical reasoning, DeepSeek R1 matches o1-class performance at 9× lower cost. Claude Opus 4.7 is the stronger all-rounder with better coding and versatility.
How much cheaper is DeepSeek R1 than Claude Opus 4.7?
DeepSeek R1 costs $0.55/1M input and $2.19/1M output. Claude Opus 4.7 costs $5/1M input and $25/1M output — making Claude about 9× more expensive on input and 11× more on output.
Which is better for coding?
Claude Opus 4.7 is significantly better for coding — it leads SWE-Bench Pro at 64.3%. DeepSeek R1 handles algorithmic and math-heavy coding well but isn't built for general software engineering.
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