LLM Reference

DeepSeek V4 Pro vs Magistral Small 2506

DeepSeek V4 Pro (2026) and Magistral Small 2506 (2025) are frontier-tier reasoning models from DeepSeek and MistralAI. DeepSeek V4 Pro ships a 1m-token context window, while Magistral Small 2506 ships a 128k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.

DeepSeek V4 Pro fits 8x more tokens; pick it for long-context work and Magistral Small 2506 for tighter calls.

Decision scorecard

Local evidence first
SignalDeepSeek V4 ProMagistral Small 2506
Best forreasoning-heavy apps, tool-calling agents, and long-context analysisreasoning-heavy apps
Decision fitCoding, RAG, and AgentsLong context
Context window1m128k
Cheapest output$0.87/1M tokens-
Provider routes5 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose DeepSeek V4 Pro when...
  • DeepSeek V4 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • DeepSeek V4 Pro has broader tracked provider coverage for fallback and procurement flexibility.
  • DeepSeek V4 Pro uniquely exposes Function calling, Tool use, and Structured outputs in local model data.
  • Local decision data tags DeepSeek V4 Pro for Coding, RAG, and Agents.
Choose Magistral Small 2506 when...
  • 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 V4 Pro

$566

Cheapest tracked route/tier: DeepSeek Platform

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

DeepSeek V4 Pro -> Magistral Small 2506
  • No overlapping tracked provider route is sourced for DeepSeek V4 Pro and Magistral Small 2506; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
Magistral Small 2506 -> DeepSeek V4 Pro
  • No overlapping tracked provider route is sourced for Magistral Small 2506 and DeepSeek V4 Pro; plan for SDK, billing, or endpoint changes.
  • DeepSeek V4 Pro adds Function calling, Tool use, and Structured outputs in local capability data.

Specs

Specification
Released2026-04-242025-06-10
Context window1m128k
Parameters1.6T24B
ArchitectureMixture of Experts (MoE) with CSA+HCA hybrid attentiondecoder only
LicenseMIT(OSI)Apache 2.0(OSI)
OpennessOpen sourceOpen source
Commercial useCommercial use allowedCommercial use allowed
Knowledge cutoff-2025-06

Pricing and availability

Pricing attributeDeepSeek V4 ProMagistral Small 2506
Input price$0.43/1M tokens-
Output price$0.87/1M tokens-
Providers

Capabilities

CapabilityDeepSeek V4 ProMagistral Small 2506
VisionNoNo
MultimodalNoNo
ReasoningYesYes
Function callingYesNo
Tool useYesNo
Structured outputsYesNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on function calling: DeepSeek V4 Pro, tool use: DeepSeek V4 Pro, and structured outputs: DeepSeek V4 Pro. Both models share reasoning mode, 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.

Pricing coverage is uneven: DeepSeek V4 Pro has $0.43/1M input tokens and Magistral Small 2506 has no token price sourced yet. Provider availability is 5 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 V4 Pro when long-context analysis, larger context windows, and broader provider choice 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.

FAQ

Which has a larger context window, DeepSeek V4 Pro or Magistral Small 2506?

DeepSeek V4 Pro supports 1m 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 V4 Pro or Magistral Small 2506 open source?

DeepSeek V4 Pro is listed under MIT. Magistral Small 2506 is listed under Apache 2.0. 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 V4 Pro or Magistral Small 2506?

Both DeepSeek V4 Pro 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.

Which is better for function calling, DeepSeek V4 Pro or Magistral Small 2506?

DeepSeek V4 Pro has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for tool use, DeepSeek V4 Pro or Magistral Small 2506?

DeepSeek V4 Pro has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run DeepSeek V4 Pro and Magistral Small 2506?

DeepSeek V4 Pro is available on DeepSeek Platform, Fireworks AI, OpenRouter, Vercel AI Gateway, and Novita AI. Magistral Small 2506 is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-31. Data sourced from public model cards and provider documentation.