Claude Opus 4.7 vs DeepSeek-R1
A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.
Updated
Claude Opus 4.7 specs · DeepSeek-R1 specs- PriceDeepSeek-R1
DeepSeek-R1 publishes pricing ($2.19 / 1M output tokens) while Claude Opus 4.7 does not.
- Context windowClaude Opus 4.7
Claude Opus 4.7 accepts 500K tokens vs 128K, 3.9× the room for long documents and codebases.
- BenchmarksTie
No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores.
- ModalitiesClaude Opus 4.7
Claude Opus 4.7 supports 2 modalities (text, vision) vs 1 for DeepSeek-R1.
- OpennessDeepSeek-R1
DeepSeek-R1 ships open weights (MIT); Claude Opus 4.7 is API-only.
It's a genuine coin-flip between Claude Opus 4.7 and DeepSeek-R1: 2 category wins each, with the rest tied. DeepSeek-R1 publishes pricing ($2.19 / 1M output tokens) while Claude Opus 4.7 does not. Claude Opus 4.7 accepts 500K tokens vs 128K, 3.9× the room for long documents and codebases.
No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. They differ in modality coverage, Claude Opus 4.7 handles text, vision while DeepSeek-R1 handles text, which can be the deciding factor before you even look at benchmarks. DeepSeek-R1 ships open weights (MIT); Claude Opus 4.7 is API-only.
Claude Opus 4.7 is the newer of the two, released 13 months after DeepSeek-R1, which usually means a more recent knowledge cutoff and updated safety post-training. Claude Opus 4.7 is usually picked for coding llm and coding agent workloads, while DeepSeek-R1 sees more deployments in reasoning and math. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.
Side-by-side specs
| Spec | Claude Opus 4.7 | DeepSeek-R1 |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Released | Feb 2026 | Jan 2025 |
| Modalities | text, vision | text |
| Context window | 500K tokens | 128K tokens |
| Max output | , | , |
| Input · 1M | Pricing not published | $0.55 / 1M tokens |
| Output · 1M | Pricing not published | $2.19 / 1M tokens |
| Knowledge cutoff | , | 2024-07 |
| Open weights | No | Yes (MIT) |
| API available | Yes | Yes |
Pricing at scale
What you'd actually pay at typical workloads. Numbers come from each model's published per-million-token rates.
- Light usage, 100k in / 50k out per day, vs $4.94
- Heavy usage, 1M in / 500k out per day, vs $49.35
- RAG workload, 5M in / 200k out per day, vs $95.64
Light usage, 100k in / 50k out per day: pricing not directly comparable (one or both models are missing public per-token rates). Heavy usage, 1M in / 500k out per day: pricing not directly comparable (one or both models are missing public per-token rates). RAG workload, 5M in / 200k out per day: pricing not directly comparable (one or both models are missing public per-token rates).
Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.
- Claude Opus 4.7Pricing unavailable
- DeepSeek-R1$0.165
Benchmarks compared
Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.
- GPQA,71.5
Claude Opus 4.7 fits when…
- Strongest published SWE-bench Verified scores in agent settings
- Best-in-class writing quality and voice control
- Excellent long-context recall and citation discipline
- Long-context tasks, handles 500K tokens vs 128K for DeepSeek-R1.
- Multimodal needs covering vision.
DeepSeek-R1 fits when…
- Open-weight reasoning model on par with o1
- MIT license
- Cheap reasoning per token
- Self-hosting and on-prem requirements, open weights (MIT).
Consider Claude Sonnet 4.6
Anthropic's mid-tier 4.6 release, the workhorse model behind most production Anthropic deployments.
Frequently asked
Is Claude Opus 4.7 or DeepSeek-R1 cheaper?
Per-token pricing isn't published for at least one of these models, check each model's spec page for current rates.Which has the larger context window?
Claude Opus 4.7 accepts 500K tokens vs 128K for DeepSeek-R1.Is Claude Opus 4.7 or DeepSeek-R1 better for coding?
Both Claude Opus 4.7 and DeepSeek-R1 are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.Are either of these models open source?
DeepSeek-R1 ships open weights (MIT). Claude Opus 4.7 is API-only.When were Claude Opus 4.7 and DeepSeek-R1 released?
Claude Opus 4.7 was released by Anthropic on 2026-02-15. DeepSeek-R1 was released by DeepSeek on 2025-01-20.
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