DeepSeek R1 0528 vs DeepSeek V3.1
DeepSeek R1 0528 (2025) and DeepSeek V3.1 (2026) are frontier reasoning models from DeepSeek. DeepSeek R1 0528 ships a 160K-token context window, while DeepSeek V3.1 ships a 64K-token context window. On pricing, DeepSeek R1 0528 costs $0.1/1M input tokens versus $0.56/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
DeepSeek R1 0528 is ~460% cheaper at $0.1/1M; pay for DeepSeek V3.1 only for coding workflow support.
Specs
| Released | 2025-01-01 | 2026-03-01 |
| Context window | 160K | 64K |
| Parameters | 671B | — |
| Architecture | decoder only | mixture of experts |
| License | Open Source | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| DeepSeek R1 0528 | DeepSeek V3.1 | |
|---|---|---|
| Input price | $0.1/1M tokens | $0.56/1M tokens |
| Output price | $0.3/1M tokens | $1.68/1M tokens |
| Providers |
Capabilities
| DeepSeek R1 0528 | DeepSeek V3.1 | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: DeepSeek V3.1, multimodal input: DeepSeek V3.1, and reasoning mode: DeepSeek R1 0528. Both models share structured outputs and code execution, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, DeepSeek R1 0528 lists $0.1/1M input and $0.3/1M output tokens, while DeepSeek V3.1 lists $0.56/1M input and $1.68/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek R1 0528 lower by about $0.74 per million blended tokens. Availability is 5 providers versus 6, so concentration risk also matters.
Choose DeepSeek R1 0528 when coding workflow support, larger context windows, and lower input-token cost are central to the workload. Choose DeepSeek V3.1 when coding workflow support and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, DeepSeek R1 0528 or DeepSeek V3.1?
DeepSeek R1 0528 supports 160K tokens, while DeepSeek V3.1 supports 64K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, DeepSeek R1 0528 or DeepSeek V3.1?
DeepSeek R1 0528 is cheaper on tracked token pricing. DeepSeek R1 0528 costs $0.1/1M input and $0.3/1M output tokens. DeepSeek V3.1 costs $0.56/1M input and $1.68/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek R1 0528 or DeepSeek V3.1 open source?
DeepSeek R1 0528 is listed under Open Source. DeepSeek V3.1 is listed under Open Source. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, DeepSeek R1 0528 or DeepSeek V3.1?
DeepSeek V3.1 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, DeepSeek R1 0528 or DeepSeek V3.1?
DeepSeek V3.1 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run DeepSeek R1 0528 and DeepSeek V3.1?
DeepSeek R1 0528 is available on Together AI, Fireworks AI, GCP Vertex AI, Novita AI, and OpenRouter. DeepSeek V3.1 is available on Microsoft Foundry, Fireworks AI, NVIDIA NIM, Together AI, and AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.