Mistral Magistral Small 2509 vs Together AI Deepseek-LLM-67B-Chat
Mistral Magistral Small 2509 (2025) and Together AI Deepseek-LLM-67B-Chat (2024) are compact production models from MistralAI and DeepSeek. Mistral Magistral Small 2509 ships a not-yet-sourced context window, while Together AI Deepseek-LLM-67B-Chat ships a 4K-token context window. On pricing, Mistral Magistral Small 2509 costs $0.5/1M input tokens versus $0.6/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Mistral Magistral Small 2509 is safer overall; choose Together AI Deepseek-LLM-67B-Chat when provider fit matters.
Decision scorecard
Local evidence first| Signal | Mistral Magistral Small 2509 | Together AI Deepseek-LLM-67B-Chat |
|---|---|---|
| Decision fit | General | Classification and JSON / Tool use |
| Context window | — | 4K |
| Cheapest output | $1.5/1M tokens | $0.6/1M tokens |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Use Mistral Magistral Small 2509 when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
- Together AI Deepseek-LLM-67B-Chat has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Together AI Deepseek-LLM-67B-Chat has the lower cheapest tracked output price at $0.6/1M tokens.
- Together AI Deepseek-LLM-67B-Chat uniquely exposes Structured outputs in local model data.
- Local decision data tags Together AI Deepseek-LLM-67B-Chat for Classification and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Mistral Magistral Small 2509
$775
Cheapest tracked route: AWS Bedrock
Together AI Deepseek-LLM-67B-Chat
$630
Cheapest tracked route: Together AI
Estimated monthly gap: $145. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Mistral Magistral Small 2509 and Together AI Deepseek-LLM-67B-Chat; plan for SDK, billing, or endpoint changes.
- Together AI Deepseek-LLM-67B-Chat is $0.9/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Together AI Deepseek-LLM-67B-Chat adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Together AI Deepseek-LLM-67B-Chat and Mistral Magistral Small 2509; plan for SDK, billing, or endpoint changes.
- Mistral Magistral Small 2509 is $0.9/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-09-01 | 2024-01-09 |
| Context window | — | 4K |
| Parameters | — | 67B |
| Architecture | - | decoder only |
| License | Proprietary | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Mistral Magistral Small 2509 | Together AI Deepseek-LLM-67B-Chat |
|---|---|---|
| Input price | $0.5/1M tokens | $0.6/1M tokens |
| Output price | $1.5/1M tokens | $0.6/1M tokens |
| Providers |
Capabilities
| Capability | Mistral Magistral Small 2509 | Together AI Deepseek-LLM-67B-Chat |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on structured outputs: Together AI Deepseek-LLM-67B-Chat. 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.
For cost, Mistral Magistral Small 2509 lists $0.5/1M input and $1.5/1M output tokens, while Together AI Deepseek-LLM-67B-Chat lists $0.6/1M input and $0.6/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI Deepseek-LLM-67B-Chat lower by about $0.2 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.
Choose Mistral Magistral Small 2509 when provider fit and lower input-token cost are central to the workload. Choose Together AI Deepseek-LLM-67B-Chat when provider fit 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 is cheaper, Mistral Magistral Small 2509 or Together AI Deepseek-LLM-67B-Chat?
Mistral Magistral Small 2509 is cheaper on tracked token pricing. Mistral Magistral Small 2509 costs $0.5/1M input and $1.5/1M output tokens. Together AI Deepseek-LLM-67B-Chat costs $0.6/1M input and $0.6/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Mistral Magistral Small 2509 or Together AI Deepseek-LLM-67B-Chat open source?
Mistral Magistral Small 2509 is listed under Proprietary. Together AI Deepseek-LLM-67B-Chat is listed under Open Source. 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 structured outputs, Mistral Magistral Small 2509 or Together AI Deepseek-LLM-67B-Chat?
Together AI Deepseek-LLM-67B-Chat has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Mistral Magistral Small 2509 and Together AI Deepseek-LLM-67B-Chat?
Mistral Magistral Small 2509 is available on AWS Bedrock. Together AI Deepseek-LLM-67B-Chat is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
When should I pick Mistral Magistral Small 2509 over Together AI Deepseek-LLM-67B-Chat?
Mistral Magistral Small 2509 is safer overall; choose Together AI Deepseek-LLM-67B-Chat when provider fit matters. If your workload also depends on provider fit, start with Mistral Magistral Small 2509; if it depends on provider fit, run the same evaluation with Together AI Deepseek-LLM-67B-Chat.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.