DeepSeek R1 Basic vs Magistral Small 2506
DeepSeek R1 Basic (2025) and Magistral Small 2506 (2025) are frontier-tier reasoning models from DeepSeek and MistralAI. DeepSeek R1 Basic ships a 160K-token context window, while Magistral Small 2506 ships a 128K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
Magistral Small 2506 is safer overall; choose DeepSeek R1 Basic when long-context analysis matters.
Decision scorecard
Local evidence first| Signal | DeepSeek R1 Basic | Magistral Small 2506 |
|---|---|---|
| Best for | reasoning-heavy apps | reasoning-heavy apps |
| Decision fit | Long context | Long context |
| Context window | 160K | 128K |
| Cheapest output | $1.68/1M tokens | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- DeepSeek R1 Basic has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags DeepSeek R1 Basic for Long context.
- Local decision data tags Magistral Small 2506 for Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
DeepSeek R1 Basic
$868
Cheapest tracked route/tier: Fireworks AI
Magistral Small 2506
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for DeepSeek R1 Basic and Magistral Small 2506; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for Magistral Small 2506 and DeepSeek R1 Basic; plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-01 | 2025-06-10 |
| Context window | 160K | 128K |
| Parameters | 671B | 24B |
| Architecture | decoder only | decoder only |
| License | Open Source | Proprietary |
| Knowledge cutoff | - | 2025-06 |
Pricing and availability
| Pricing attribute | DeepSeek R1 Basic | Magistral Small 2506 |
|---|---|---|
| Input price | $0.56/1M tokens | - |
| Output price | $1.68/1M tokens | - |
| Providers |
Capabilities
| Capability | DeepSeek R1 Basic | Magistral Small 2506 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | Yes |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint is close: both models cover reasoning mode. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
Pricing coverage is uneven: DeepSeek R1 Basic has $0.56/1M input tokens and Magistral Small 2506 has no token price sourced yet. Provider availability is 1 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose DeepSeek R1 Basic when long-context analysis and larger context windows are central to the workload. Choose Magistral Small 2506 when provider fit 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, DeepSeek R1 Basic or Magistral Small 2506?
DeepSeek R1 Basic supports 160K tokens, while Magistral Small 2506 supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is DeepSeek R1 Basic or Magistral Small 2506 open source?
DeepSeek R1 Basic is listed under Open Source. Magistral Small 2506 is listed under Proprietary. 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 reasoning mode, DeepSeek R1 Basic or Magistral Small 2506?
Both DeepSeek R1 Basic and Magistral Small 2506 expose reasoning mode. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run DeepSeek R1 Basic and Magistral Small 2506?
DeepSeek R1 Basic is available on Fireworks AI. Magistral Small 2506 is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
When should I pick DeepSeek R1 Basic over Magistral Small 2506?
Magistral Small 2506 is safer overall; choose DeepSeek R1 Basic when long-context analysis matters. If your workload also depends on long-context analysis, start with DeepSeek R1 Basic; if it depends on provider fit, run the same evaluation with Magistral Small 2506.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.