Llama 3.2 1B vs Mistral Magistral Small 2509
Llama 3.2 1B (2024) and Mistral Magistral Small 2509 (2025) are compact production models from AI at Meta and MistralAI. Llama 3.2 1B ships a 128k-token context window, while Mistral Magistral Small 2509 ships a not-yet-sourced context window. On pricing, Llama 3.2 1B costs $0.10/1M input tokens versus $0.50/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama 3.2 1B is ~400% cheaper at $0.10/1M; pay for Mistral Magistral Small 2509 only for provider fit.
Decision scorecard
Local evidence first| Signal | Llama 3.2 1B | Mistral Magistral Small 2509 |
|---|---|---|
| Best for | general production evaluation | provider-routed production |
| Decision fit | Coding, Long context, and Classification | General |
| Context window | 128k | — |
| Cheapest output | $0.10/1M tokens | $1.50/1M tokens |
| Provider routes | 1 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama 3.2 1B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 3.2 1B has the lower cheapest tracked output price at $0.10/1M tokens.
- Local decision data tags Llama 3.2 1B for Coding, Long context, and Classification.
- Mistral Magistral Small 2509 has broader tracked provider coverage for fallback and procurement flexibility.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 3.2 1B
$105
Cheapest tracked route/tier: Fireworks AI
Mistral Magistral Small 2509
$775
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $670. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Llama 3.2 1B and Mistral Magistral Small 2509; plan for SDK, billing, or endpoint changes.
- Mistral Magistral Small 2509 is $1.40/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- No overlapping tracked provider route is sourced for Mistral Magistral Small 2509 and Llama 3.2 1B; plan for SDK, billing, or endpoint changes.
- Llama 3.2 1B is $1.40/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-09-25 | 2025-09-01 |
| Context window | 128k | — |
| Parameters | 1.23B | 24B |
| Architecture | decoder only | - |
| License | Llama 3 Community | Apache 2.0(OSI) |
| Openness | Open weights | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | 2023-12 | - |
Pricing and availability
| Pricing attribute | Llama 3.2 1B | Mistral Magistral Small 2509 |
|---|---|---|
| Input price | $0.10/1M tokens | $0.50/1M tokens |
| Output price | $0.10/1M tokens | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3.2 1B | 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 |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | 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, Llama 3.2 1B lists $0.10/1M input and $0.10/1M output tokens on the cheapest tracked provider, while Mistral Magistral Small 2509 lists $0.50/1M input and $1.50/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.2 1B lower by about $0.70 per million blended tokens. Availability is 1 providers versus 2, so concentration risk also matters.
Choose Llama 3.2 1B when provider fit and lower input-token cost are central to the workload. Choose Mistral Magistral Small 2509 when provider fit and broader provider choice 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.
FAQ
Which is cheaper, Llama 3.2 1B or Mistral Magistral Small 2509?
Llama 3.2 1B is cheaper on tracked token pricing. Llama 3.2 1B costs $0.10/1M input and $0.10/1M output tokens. Mistral Magistral Small 2509 costs $0.50/1M input and $1.50/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 3.2 1B or Mistral Magistral Small 2509 open source?
Llama 3.2 1B is listed under Llama 3 Community. Mistral Magistral Small 2509 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.
Where can I run Llama 3.2 1B and Mistral Magistral Small 2509?
Llama 3.2 1B is available on Fireworks AI. Mistral Magistral Small 2509 is available on AWS Bedrock and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Llama 3.2 1B over Mistral Magistral Small 2509?
Llama 3.2 1B is ~400% cheaper at $0.10/1M; pay for Mistral Magistral Small 2509 only for provider fit. If your workload also depends on provider fit, start with Llama 3.2 1B; if it depends on provider fit, run the same evaluation with Mistral Magistral Small 2509.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.