GPT-1 vs Magistral Small 2506
GPT-1 (2018) and Magistral Small 2506 (2025) are frontier reasoning models from OpenAI and MistralAI. GPT-1 ships a 512-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 250x more tokens; pick it for long-context work and GPT-1 for tighter calls.
Decision scorecard
Local evidence first| Signal | GPT-1 | Magistral Small 2506 |
|---|---|---|
| Best for | general production evaluation | reasoning-heavy apps |
| Decision fit | General | Long context |
| Context window | 512 | 128k |
| Cheapest output | - | - |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Use GPT-1 when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
- Magistral Small 2506 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Magistral Small 2506 has broader tracked provider coverage for fallback and route flexibility.
- 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-1
Unavailable
No complete token price in local provider data
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-1 and Magistral Small 2506; plan for SDK, billing, or endpoint changes.
- Magistral Small 2506 adds Reasoning in local capability data.
- No overlapping tracked provider route is sourced for Magistral Small 2506 and GPT-1; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2018-06-11 | 2025-06-10 |
| Context window | 512 | 128k |
| Parameters | 120M | 24B |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Apache 2.0OSI-approved |
| Openness | Proprietary | Open source |
| Weights | Not released | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | - | 2025-06 |
Pricing and availability
| Pricing attribute | GPT-1 | Magistral Small 2506 |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | GPT-1 | Magistral Small 2506 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | Yes |
| 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.
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Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.