Llama 3.2 1B Instruct vs Mistral Large 3 675B Instruct
Llama 3.2 1B Instruct (2024) and Mistral Large 3 675B Instruct (2025) are compact production models from AI at Meta and MistralAI. Llama 3.2 1B Instruct ships a 128K-token context window, while Mistral Large 3 675B Instruct ships a 128K-token context window. On pricing, Llama 3.2 1B Instruct costs $0.03/1M input tokens versus $0.5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 3.2 1B Instruct is ~1752% cheaper at $0.03/1M; pay for Mistral Large 3 675B Instruct only for provider fit.
Specs
| Released | 2024-09-25 | 2025-12-01 |
| Context window | 128K | 128K |
| Parameters | 1.23B | 675B |
| Architecture | decoder only | decoder only |
| License | Open Source | 1 |
| Knowledge cutoff | 2023-12 | - |
Pricing and availability
| Llama 3.2 1B Instruct | Mistral Large 3 675B Instruct | |
|---|---|---|
| Input price | $0.03/1M tokens | $0.5/1M tokens |
| Output price | $0.2/1M tokens | $1.5/1M tokens |
| Providers |
Capabilities
| Llama 3.2 1B Instruct | Mistral Large 3 675B Instruct | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint is close: both models cover structured outputs. 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 Instruct lists $0.03/1M input and $0.2/1M output tokens, while Mistral Large 3 675B Instruct lists $0.5/1M input and $1.5/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.2 1B Instruct lower by about $0.72 per million blended tokens. Availability is 5 providers versus 3, so concentration risk also matters.
Choose Llama 3.2 1B Instruct when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose Mistral Large 3 675B Instruct 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.
FAQ
Which has a larger context window, Llama 3.2 1B Instruct or Mistral Large 3 675B Instruct?
Llama 3.2 1B Instruct supports 128K tokens, while Mistral Large 3 675B Instruct supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Llama 3.2 1B Instruct or Mistral Large 3 675B Instruct?
Llama 3.2 1B Instruct is cheaper on tracked token pricing. Llama 3.2 1B Instruct costs $0.03/1M input and $0.2/1M output tokens. Mistral Large 3 675B Instruct costs $0.5/1M input and $1.5/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 3.2 1B Instruct or Mistral Large 3 675B Instruct open source?
Llama 3.2 1B Instruct is listed under Open Source. Mistral Large 3 675B Instruct is listed under 1. 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, Llama 3.2 1B Instruct or Mistral Large 3 675B Instruct?
Both Llama 3.2 1B Instruct and Mistral Large 3 675B Instruct expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Llama 3.2 1B Instruct and Mistral Large 3 675B Instruct?
Llama 3.2 1B Instruct is available on OpenRouter, Fireworks AI, NVIDIA NIM, Bitdeer AI, and AWS Bedrock. Mistral Large 3 675B Instruct is available on AWS Bedrock, NVIDIA NIM, and Mistral AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Llama 3.2 1B Instruct over Mistral Large 3 675B Instruct?
Llama 3.2 1B Instruct is ~1752% cheaper at $0.03/1M; pay for Mistral Large 3 675B Instruct only for provider fit. If your workload also depends on provider fit, start with Llama 3.2 1B Instruct; if it depends on provider fit, run the same evaluation with Mistral Large 3 675B Instruct.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.