Aya 23 35B vs Mistral Magistral Small 2509
Aya 23 35B (2024) and Mistral Magistral Small 2509 (2025) are general-purpose language models from Cohere and MistralAI. Aya 23 35B ships a not-yet-sourced context window, while Mistral Magistral Small 2509 ships a not-yet-sourced context window. On pricing, Aya 23 35B costs $0.5/1M input tokens versus $0.5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Mistral Magistral Small 2509 is safer overall; choose Aya 23 35B when provider fit matters.
Decision scorecard
Local evidence first| Signal | Aya 23 35B | Mistral Magistral Small 2509 |
|---|---|---|
| Decision fit | General | General |
| Context window | — | — |
| Cheapest output | $1.5/1M tokens | $1.5/1M tokens |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Use Aya 23 35B when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
- 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.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Aya 23 35B
$775
Cheapest tracked route: Cohere API
Mistral Magistral Small 2509
$775
Cheapest tracked route: AWS Bedrock
Estimated monthly gap: $0.00. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Aya 23 35B and Mistral Magistral Small 2509; plan for SDK, billing, or endpoint changes.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
- No overlapping tracked provider route is sourced for Mistral Magistral Small 2509 and Aya 23 35B; plan for SDK, billing, or endpoint changes.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-02-21 | 2025-09-01 |
| Context window | — | — |
| Parameters | 35B | — |
| Architecture | decoder only | - |
| License | Unknown | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Aya 23 35B | Mistral Magistral Small 2509 |
|---|---|---|
| Input price | $0.5/1M tokens | $0.5/1M tokens |
| Output price | $1.5/1M tokens | $1.5/1M tokens |
| Providers |
Capabilities
| Capability | Aya 23 35B | Mistral Magistral Small 2509 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint is close: both models cover the core production surface. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, Aya 23 35B lists $0.5/1M input and $1.5/1M output tokens, while Mistral Magistral Small 2509 lists $0.5/1M input and $1.5/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Aya 23 35B lower by about $0 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.
Choose Aya 23 35B when provider fit are central to the workload. Choose Mistral Magistral Small 2509 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, Aya 23 35B or Mistral Magistral Small 2509?
Aya 23 35B is cheaper on tracked token pricing. Aya 23 35B costs $0.5/1M input and $1.5/1M output tokens. Mistral Magistral Small 2509 costs $0.5/1M input and $1.5/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Aya 23 35B or Mistral Magistral Small 2509 open source?
Aya 23 35B is listed under Unknown. Mistral Magistral Small 2509 is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Where can I run Aya 23 35B and Mistral Magistral Small 2509?
Aya 23 35B is available on Cohere API. Mistral Magistral Small 2509 is available on AWS Bedrock. 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 Aya 23 35B over Mistral Magistral Small 2509?
Mistral Magistral Small 2509 is safer overall; choose Aya 23 35B when provider fit matters. If your workload also depends on provider fit, start with Aya 23 35B; if it depends on provider fit, run the same evaluation with Mistral Magistral Small 2509.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.