LLM Reference

Magistral Small 2506 vs Qwen2-7B-Instruct

Magistral Small 2506 (2025) and Qwen2-7B-Instruct (2024) are frontier reasoning models from MistralAI and Alibaba. Magistral Small 2506 ships a 128k-token context window, while Qwen2-7B-Instruct 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 Qwen2-7B-Instruct when provider fit matters.

Decision scorecard

Local evidence first
SignalMagistral Small 2506Qwen2-7B-Instruct
Best forreasoning-heavy appsgeneral production evaluation
Decision fitLong contextLong context
Context window128k128k
Cheapest output--
Provider routes1 tracked1 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

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.
Choose Qwen2-7B-Instruct when...
  • Local decision data tags Qwen2-7B-Instruct for Long context.

Monthly cost at traffic

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

Magistral Small 2506

Unavailable

No complete token price in local provider data

Qwen2-7B-Instruct

Unavailable

No complete token price in local provider data

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

Switch friction

Magistral Small 2506 -> Qwen2-7B-Instruct
  • Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
  • Check replacement coverage for Reasoning before moving production traffic.
Qwen2-7B-Instruct -> Magistral Small 2506
  • Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
  • Magistral Small 2506 adds Reasoning in local capability data.

Specs

Specification
Released2025-06-102024-06-07
Context window128k128k
Parameters24B7B
ArchitectureDecoder OnlyDecoder Only
LicenseApache 2.0OSI-approvedApache 2.0OSI-approved
OpennessOpen sourceOpen source
WeightsUnknownUnknown
CodeUnknownUnknown
Commercial useCommercial use: permittedCommercial use: permitted
Knowledge cutoff2025-06-

Pricing and availability

Pricing attributeMagistral Small 2506Qwen2-7B-Instruct
Input price--
Output price--
Providers

Pricing not yet sourced for either model.

Capabilities

CapabilityMagistral Small 2506Qwen2-7B-Instruct
VisionNoNo
MultimodalNoNo
ReasoningYesNo
JSON / Tool useNoNo
Structured outputsNoNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available for this pair.

Continue comparing

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