LLM Reference

OpenAI GPT OSS Safeguard 120B vs Magistral Small 2506

OpenAI GPT OSS Safeguard 120B (2025) and Magistral Small 2506 (2025) are frontier reasoning models from OpenAI and MistralAI. OpenAI GPT OSS Safeguard 120B ships a not-yet-sourced 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.

OpenAI GPT OSS Safeguard 120B is safer overall; choose Magistral Small 2506 when reasoning depth matters.

Decision scorecard

Local evidence first
SignalOpenAI GPT OSS Safeguard 120BMagistral Small 2506
Best forgeneral production evaluationreasoning-heavy apps
Decision fitClassification and JSON / Tool useLong context
Context window128k
Cheapest output$0.60/1M tokens-
Provider routes1 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose OpenAI GPT OSS Safeguard 120B when...
  • OpenAI GPT OSS Safeguard 120B uniquely exposes Structured outputs in local model data.
  • Local decision data tags OpenAI GPT OSS Safeguard 120B for Classification and JSON / Tool use.
Choose Magistral Small 2506 when...
  • Magistral Small 2506 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Magistral Small 2506 uniquely exposes Reasoning in local model data.
  • 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.

OpenAI GPT OSS Safeguard 120B

$270

Cheapest tracked route/tier: AWS Bedrock

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

OpenAI GPT OSS Safeguard 120B -> Magistral Small 2506
  • No overlapping tracked provider route is sourced for OpenAI GPT OSS Safeguard 120B and Magistral Small 2506; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Structured outputs before moving production traffic.
  • Magistral Small 2506 adds Reasoning in local capability data.
Magistral Small 2506 -> OpenAI GPT OSS Safeguard 120B
  • No overlapping tracked provider route is sourced for Magistral Small 2506 and OpenAI GPT OSS Safeguard 120B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning before moving production traffic.
  • OpenAI GPT OSS Safeguard 120B adds Structured outputs in local capability data.

Specs

Specification
Released2025-09-012025-06-10
Context window128k
Parameters120B24B
Architecture-decoder only
LicenseProprietaryProprietary
Knowledge cutoff2024-062025-06

Pricing and availability

Pricing attributeOpenAI GPT OSS Safeguard 120BMagistral Small 2506
Input price$0.15/1M tokens-
Output price$0.60/1M tokens-
Providers

Capabilities

CapabilityOpenAI GPT OSS Safeguard 120BMagistral Small 2506
VisionNoNo
MultimodalNoNo
ReasoningNoYes
Function callingNoNo
Tool useNoNo
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 reasoning mode: Magistral Small 2506 and structured outputs: OpenAI GPT OSS Safeguard 120B. Both models share the core language-model surface, 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: OpenAI GPT OSS Safeguard 120B has $0.15/1M 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 OpenAI GPT OSS Safeguard 120B when provider fit are central to the workload. Choose Magistral Small 2506 when reasoning depth 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 OpenAI GPT OSS Safeguard 120B or Magistral Small 2506 open source?

OpenAI GPT OSS Safeguard 120B is listed under Proprietary. 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, OpenAI GPT OSS Safeguard 120B or Magistral Small 2506?

Magistral Small 2506 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for structured outputs, OpenAI GPT OSS Safeguard 120B or Magistral Small 2506?

OpenAI GPT OSS Safeguard 120B has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run OpenAI GPT OSS Safeguard 120B and Magistral Small 2506?

OpenAI GPT OSS Safeguard 120B is available on AWS Bedrock. Magistral Small 2506 is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick OpenAI GPT OSS Safeguard 120B over Magistral Small 2506?

OpenAI GPT OSS Safeguard 120B is safer overall; choose Magistral Small 2506 when reasoning depth matters. If your workload also depends on provider fit, start with OpenAI GPT OSS Safeguard 120B; if it depends on reasoning depth, run the same evaluation with Magistral Small 2506.

Continue comparing

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