Llama 3.2 1B vs Mistral Nemotron
Llama 3.2 1B (2024) and Mistral Nemotron (2025) are compact production models from AI at Meta and MistralAI. Llama 3.2 1B ships a 128k-token context window, while Mistral Nemotron ships a not-yet-sourced 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.
Mistral Nemotron is safer overall; choose Llama 3.2 1B when provider fit matters.
Decision scorecard
Local evidence first| Signal | Llama 3.2 1B | Mistral Nemotron |
|---|---|---|
| Best for | general production evaluation | general production evaluation |
| Decision fit | Coding, Long context, and Classification | General |
| Context window | 128k | — |
| Cheapest output | $0.10/1M tokens | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Llama 3.2 1B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Llama 3.2 1B for Coding, Long context, and Classification.
- Use Mistral Nemotron 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 route or tier on this page.
Llama 3.2 1B
$105
Cheapest tracked route/tier: Fireworks AI
Mistral Nemotron
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 Llama 3.2 1B and Mistral Nemotron; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for Mistral Nemotron and Llama 3.2 1B; plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-09-25 | 2025-12-01 |
| Context window | 128k | — |
| Parameters | 1.23B | 70B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 3 Community | Proprietary |
| Openness | Open weights | Proprietary |
| Weights | Unknown | Not released |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | - |
| Knowledge cutoff | 2023-12 | - |
Pricing and availability
| Pricing attribute | Llama 3.2 1B | Mistral Nemotron |
|---|---|---|
| Input price | $0.10/1M tokens | - |
| Output price | $0.10/1M tokens | - |
| Providers |
Capabilities
| Capability | Llama 3.2 1B | Mistral Nemotron |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| 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: 2026-07-09. Data sourced from public model cards and provider documentation.