DeepSeek Coder V2 vs Magistral Small 2506
DeepSeek Coder V2 (2024) and Magistral Small 2506 (2025) compare a coding-specialized model against a standalone API model. DeepSeek Coder V2 ships a 128k-token context window, while Magistral Small 2506 ships a 128k-token context window. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: DeepSeek Coder V2 is coding-specialized model, while Magistral Small 2506 is standalone API model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | DeepSeek Coder V2 | Magistral Small 2506 |
|---|---|---|
| Product type | Coding-specialized model | Standalone API model |
| Best for | custom coding agents, code generation, and provider-routed production | reasoning-heavy apps |
| Decision fit | Coding and Long context | Long context |
| Context window | 128k | 128k |
| Cheapest output | $0.28/1M tokens | - |
| Provider routes | 2 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- DeepSeek Coder V2 has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags DeepSeek Coder V2 for Coding and Long context.
- 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.
DeepSeek Coder V2
$182
Cheapest tracked route/tier: DeepSeek Platform
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 DeepSeek Coder V2 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 DeepSeek Coder V2; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-06-17 | 2025-06-10 |
| Context window | 128k | 128k |
| Parameters | 236B | 24B |
| Architecture | Mixture of Experts | Decoder Only |
| License | DeepSeek License | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | 2023-11 | 2025-06 |
Pricing and availability
| Pricing attribute | DeepSeek Coder V2 | Magistral Small 2506 |
|---|---|---|
| Input price | $0.14/1M tokens | - |
| Output price | $0.28/1M tokens | - |
| Providers |
Capabilities
| Capability | DeepSeek Coder V2 | Magistral Small 2506 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | Yes |
| Function calling | No | No |
| 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.
Deep dive
The capability footprint differs most on reasoning mode: Magistral Small 2506. 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: DeepSeek Coder V2 has $0.14/1M input tokens and Magistral Small 2506 has no token price sourced yet. Provider availability is 2 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose DeepSeek Coder V2 when coding workflow support 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. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, DeepSeek Coder V2 or Magistral Small 2506?
DeepSeek Coder V2 supports 128k 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 DeepSeek Coder V2 or Magistral Small 2506 open source?
DeepSeek Coder V2 is listed under DeepSeek License. Magistral Small 2506 is listed under Apache 2.0. 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 reasoning mode, DeepSeek Coder V2 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 DeepSeek Coder V2 and Magistral Small 2506?
DeepSeek Coder V2 is available on DeepSeek Platform and Fireworks AI. Magistral Small 2506 is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick DeepSeek Coder V2 over Magistral Small 2506?
Treat this as a product-type comparison: DeepSeek Coder V2 is coding-specialized model, while Magistral Small 2506 is standalone API model. Choose based on workflow fit before reading any benchmark or price row as decisive. If your workload also depends on coding workflow support, start with DeepSeek Coder V2; if it depends on reasoning depth, run the same evaluation with Magistral Small 2506.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.