Magistral Small 2506 vs Nemotron Mini Hindi 4B Instruct
Magistral Small 2506 (2025) and Nemotron Mini Hindi 4B Instruct (2024) are frontier reasoning models from MistralAI and NVIDIA AI. Magistral Small 2506 ships a 128k-token context window, while Nemotron Mini Hindi 4B Instruct ships a 4k-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.
Magistral Small 2506 fits 32x more tokens; pick it for long-context work and Nemotron Mini Hindi 4B Instruct for tighter calls.
Decision scorecard
Local evidence first| Signal | Magistral Small 2506 | Nemotron Mini Hindi 4B Instruct |
|---|---|---|
| Best for | reasoning-heavy apps | general production evaluation |
| Decision fit | Long context | General |
| Context window | 128k | 4k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- 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.
- Use Nemotron Mini Hindi 4B Instruct when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
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
Nemotron Mini Hindi 4B 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
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Check replacement coverage for Reasoning before moving production traffic.
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Magistral Small 2506 adds Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-06-10 | 2024-09-01 |
| Context window | 128k | 4k |
| Parameters | 24B | 4B |
| Architecture | Decoder Only | Decoder Only |
| License | Apache 2.0OSI-approved | NVIDIA Open Model |
| Openness | Open source | Open weights |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | 2025-06 | - |
Pricing and availability
| Pricing attribute | Magistral Small 2506 | Nemotron Mini Hindi 4B Instruct |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers |
Pricing not yet sourced for either model.
Capabilities
| Capability | Magistral Small 2506 | Nemotron Mini Hindi 4B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | No |
| JSON / Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Continue comparing
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Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.