GPT-4.1 Mini vs Magistral Small 2506
GPT-4.1 Mini (2025) and Magistral Small 2506 (2025) are frontier reasoning models from OpenAI and MistralAI. GPT-4.1 Mini ships a 1M-token context window, while Magistral Small 2506 ships a 128K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
GPT-4.1 Mini fits 8x more tokens; pick it for long-context work and Magistral Small 2506 for tighter calls.
Decision scorecard
Local evidence first| Signal | GPT-4.1 Mini | Magistral Small 2506 |
|---|---|---|
| Decision fit | Coding, RAG, and Agents | Long context |
| Context window | 1M | 128K |
| Cheapest output | $1.6/1M tokens | - |
| Provider routes | 3 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- GPT-4.1 Mini has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-4.1 Mini has broader tracked provider coverage for fallback and procurement flexibility.
- GPT-4.1 Mini uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags GPT-4.1 Mini for Coding, RAG, and Agents.
- 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 prices on this page.
GPT-4.1 Mini
$720
Cheapest tracked route: OpenRouter
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
- No overlapping tracked provider route is sourced for GPT-4.1 Mini and Magistral Small 2506; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
- Magistral Small 2506 adds Reasoning in local capability data.
- No overlapping tracked provider route is sourced for Magistral Small 2506 and GPT-4.1 Mini; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning before moving production traffic.
- GPT-4.1 Mini adds Vision, Multimodal, and Function calling in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-01 | 2025-06-10 |
| Context window | 1M | 128K |
| Parameters | — | — |
| Architecture | decoder only | decoder only |
| License | Proprietary | 1 |
| Knowledge cutoff | 2025-01 | - |
Pricing and availability
| Pricing attribute | GPT-4.1 Mini | Magistral Small 2506 |
|---|---|---|
| Input price | $0.4/1M tokens | - |
| Output price | $1.6/1M tokens | - |
| Providers |
Capabilities
| Capability | GPT-4.1 Mini | Magistral Small 2506 |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | Yes |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: GPT-4.1 Mini, multimodal input: GPT-4.1 Mini, reasoning mode: Magistral Small 2506, function calling: GPT-4.1 Mini, tool use: GPT-4.1 Mini, structured outputs: GPT-4.1 Mini, and code execution: GPT-4.1 Mini. 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-4.1 Mini has $0.4/1M input tokens and Magistral Small 2506 has no token price sourced yet. Provider availability is 3 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-4.1 Mini when coding workflow support, larger context windows, 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.
FAQ
Which has a larger context window, GPT-4.1 Mini or Magistral Small 2506?
GPT-4.1 Mini supports 1M 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-4.1 Mini or Magistral Small 2506 open source?
GPT-4.1 Mini is listed under Proprietary. Magistral Small 2506 is listed under 1. 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-4.1 Mini or Magistral Small 2506?
GPT-4.1 Mini 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-4.1 Mini or Magistral Small 2506?
GPT-4.1 Mini 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-4.1 Mini 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-4.1 Mini and Magistral Small 2506?
GPT-4.1 Mini is available on OpenRouter, Replicate API, and OpenAI 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: 2026-05-14. Data sourced from public model cards and provider documentation.