LLM Reference

DeepSeek V3 Base vs Mistral Magistral Small 2509

DeepSeek V3 Base (2024) and Mistral Magistral Small 2509 (2025) are compact production models from DeepSeek and MistralAI. DeepSeek V3 Base ships a 128k-token context window, while Mistral Magistral Small 2509 ships a not-yet-sourced 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.

Mistral Magistral Small 2509 is safer overall; choose DeepSeek V3 Base when provider fit matters.

Decision scorecard

Local evidence first
SignalDeepSeek V3 BaseMistral Magistral Small 2509
Best forgeneral production evaluationprovider-routed production
Decision fitLong contextGeneral
Context window128k
Cheapest output-$1.50/1M tokens
Provider routes0 tracked2 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose DeepSeek V3 Base when...
  • DeepSeek V3 Base has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Local decision data tags DeepSeek V3 Base for Long context.
Choose Mistral Magistral Small 2509 when...
  • Mistral Magistral Small 2509 has broader tracked provider coverage for fallback and procurement flexibility.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

DeepSeek V3 Base

Unavailable

No complete token price in local provider data

Mistral Magistral Small 2509

$775

Cheapest tracked route/tier: AWS Bedrock

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

DeepSeek V3 Base -> Mistral Magistral Small 2509
  • No overlapping tracked provider route is sourced for DeepSeek V3 Base and Mistral Magistral Small 2509; plan for SDK, billing, or endpoint changes.
Mistral Magistral Small 2509 -> DeepSeek V3 Base
  • No overlapping tracked provider route is sourced for Mistral Magistral Small 2509 and DeepSeek V3 Base; plan for SDK, billing, or endpoint changes.

Specs

Specification
Released2024-12-262025-09-01
Context window128k
Parameters671B total, 37B active (MoE)24B
Architecturemixture of experts-
LicenseMIT(OSI)Apache 2.0(OSI)
OpennessOpen sourceOpen source
Commercial useCommercial use allowedCommercial use allowed
Knowledge cutoff2024-07-

Pricing and availability

Pricing attributeDeepSeek V3 BaseMistral Magistral Small 2509
Input price-$0.50/1M tokens
Output price-$1.50/1M tokens
Providers-

Capabilities

CapabilityDeepSeek V3 BaseMistral Magistral Small 2509
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsNoNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint is close: both models cover the core production surface. 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 V3 Base has no token price sourced yet and Mistral Magistral Small 2509 has $0.50/1M input tokens. Provider availability is 0 tracked routes versus 2. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose DeepSeek V3 Base when provider fit are central to the workload. Choose Mistral Magistral Small 2509 when provider fit 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Is DeepSeek V3 Base or Mistral Magistral Small 2509 open source?

DeepSeek V3 Base is listed under MIT. Mistral Magistral Small 2509 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.

Where can I run DeepSeek V3 Base and Mistral Magistral Small 2509?

DeepSeek V3 Base is available on the tracked providers still being sourced. Mistral Magistral Small 2509 is available on AWS Bedrock and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick DeepSeek V3 Base over Mistral Magistral Small 2509?

Mistral Magistral Small 2509 is safer overall; choose DeepSeek V3 Base when provider fit matters. If your workload also depends on provider fit, start with DeepSeek V3 Base; if it depends on provider fit, run the same evaluation with Mistral Magistral Small 2509.

What is the main difference between DeepSeek V3 Base and Mistral Magistral Small 2509?

DeepSeek V3 Base and Mistral Magistral Small 2509 differ most on context, provider coverage, capabilities, or pricing depending on the data currently sourced. Use the specs table first, then validate the model behavior with your own prompts.

Continue comparing

Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.