LLM Reference

GPT-4 vs Magistral Small 2506

GPT-4 (2023) and Magistral Small 2506 (2025) are frontier reasoning models from OpenAI and MistralAI. GPT-4 ships a 8k-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 fits 16x more tokens; pick it for long-context work and GPT-4 for tighter calls.

Decision scorecard

Local evidence first
SignalGPT-4Magistral Small 2506
Best formultimodal apps, tool-calling agents, and provider-routed productionreasoning-heavy apps
Decision fitCoding, Agents, and VisionLong context
Context window8k128k
Cheapest output$60/1M tokens-
Provider routes4 tracked1 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose GPT-4 when...
  • GPT-4 has broader tracked provider coverage for fallback and route flexibility.
  • GPT-4 uniquely exposes Vision, Multimodal, and JSON / Tool use in local model data.
  • Local decision data tags GPT-4 for Coding, Agents, and Vision.
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.

GPT-4

$39,000

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-4 -> Magistral Small 2506
  • No overlapping tracked provider route is sourced for GPT-4 and Magistral Small 2506; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and JSON / Tool use before moving production traffic.
  • Magistral Small 2506 adds Reasoning in local capability data.
Magistral Small 2506 -> GPT-4
  • No overlapping tracked provider route is sourced for Magistral Small 2506 and GPT-4; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning before moving production traffic.
  • GPT-4 adds Vision, Multimodal, and JSON / Tool use in local capability data.

Specs

Specification
Released2023-03-142025-06-10
Context window8k128k
Parameters1.76T (8x222B MoE)*24B
ArchitectureMixture of ExpertsDecoder Only
LicenseProprietaryApache 2.0OSI-approved
OpennessProprietaryOpen source
WeightsNot releasedUnknown
CodeUnknownUnknown
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff2021-092025-06

Pricing and availability

Pricing attributeGPT-4Magistral Small 2506
Input price$30/1M tokens-
Output price$60/1M tokens-
Providers

Capabilities

CapabilityGPT-4Magistral Small 2506
VisionYesNo
MultimodalYesNo
ReasoningNoYes
JSON / Tool useYesNo
Structured outputsYesNo
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available for this pair.

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