LLM Reference

GPT-4o (05-13) vs Magistral Small 2506

GPT-4o (05-13) (2024) and Magistral Small 2506 (2025) are frontier reasoning models from OpenAI and MistralAI. GPT-4o (05-13) ships a 128k-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.

Magistral Small 2506 is safer overall; choose GPT-4o (05-13) when coding workflow support matters.

Decision scorecard

Local evidence first
SignalGPT-4o (05-13)Magistral Small 2506
Best formultimodal apps and provider-routed productionreasoning-heavy apps
Decision fitCoding, RAG, and AgentsLong context
Context window128k128k
Cheapest output$10/1M tokens-
Provider routes4 tracked1 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose GPT-4o (05-13) when...
  • GPT-4o (05-13) has broader tracked provider coverage for fallback and procurement flexibility.
  • GPT-4o (05-13) uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
  • Local decision data tags GPT-4o (05-13) for Coding, RAG, and Agents.
Choose Magistral Small 2506 when...
  • 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.

GPT-4o (05-13)

$4,500

Cheapest tracked route/tier: OpenAI API

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

GPT-4o (05-13) -> Magistral Small 2506
  • No overlapping tracked provider route is sourced for GPT-4o (05-13) and Magistral Small 2506; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.
  • Magistral Small 2506 adds Reasoning in local capability data.
Magistral Small 2506 -> GPT-4o (05-13)
  • No overlapping tracked provider route is sourced for Magistral Small 2506 and GPT-4o (05-13); plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning before moving production traffic.
  • GPT-4o (05-13) adds Vision, Multimodal, and Structured outputs in local capability data.

Specs

Specification
Released2024-05-132025-06-10
Context window128k128k
Parameters1.76T (8x222B MoE)*24B
ArchitectureMixture of ExpertsDecoder Only
LicenseProprietaryApache 2.0OSI-approved
OpennessProprietaryOpen source
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff2023-102025-06

Pricing and availability

Pricing attributeGPT-4o (05-13)Magistral Small 2506
Input price$2.50/1M tokens-
Output price$10/1M tokens-
Providers

Capabilities

CapabilityGPT-4o (05-13)Magistral Small 2506
VisionYesNo
MultimodalYesNo
ReasoningNoYes
Function callingNoNo
Tool useNoNo
Structured outputsYesNo
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available for this pair.

Deep dive

The capability footprint differs most on vision: GPT-4o (05-13), multimodal input: GPT-4o (05-13), reasoning mode: Magistral Small 2506, structured outputs: GPT-4o (05-13), and code execution: GPT-4o (05-13). 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: GPT-4o (05-13) has $2.50/1M input tokens and Magistral Small 2506 has no token price sourced yet. Provider availability is 4 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose GPT-4o (05-13) when coding workflow support and broader provider choice 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.

FAQ

Which has a larger context window, GPT-4o (05-13) or Magistral Small 2506?

GPT-4o (05-13) supports 128k 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 GPT-4o (05-13) or Magistral Small 2506 open source?

GPT-4o (05-13) is listed under Proprietary. 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 vision, GPT-4o (05-13) or Magistral Small 2506?

GPT-4o (05-13) 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, GPT-4o (05-13) or Magistral Small 2506?

GPT-4o (05-13) 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.

Which is better for reasoning mode, GPT-4o (05-13) 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.

Where can I run GPT-4o (05-13) and Magistral Small 2506?

GPT-4o (05-13) is available on Azure OpenAI, OpenAI API, OpenRouter, and Replicate API. Magistral Small 2506 is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.