Llama 3.3 70B vs Mistral Large 2.1 (2411)
Llama 3.3 70B (2025) and Mistral Large 2.1 (2411) (2024) are compact production models from AI at Meta and MistralAI. Llama 3.3 70B ships a 8k-token context window, while Mistral Large 2.1 (2411) ships a 128k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Mistral Large 2.1 (2411) fits 16x more tokens; pick it for long-context work and Llama 3.3 70B for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 3.3 70B | Mistral Large 2.1 (2411) |
|---|---|---|
| Best for | multimodal apps and tool-calling agents | tool-calling agents |
| Decision fit | Agents, Vision, and Classification | RAG, Agents, and Long context |
| Context window | 8k | 128k |
| Cheapest output | $0.90/1M tokens | - |
| Provider routes | 1 tracked | 0 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Llama 3.3 70B has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 3.3 70B uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Llama 3.3 70B for Agents, Vision, and Classification.
- Mistral Large 2.1 (2411) has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Large 2.1 (2411) uniquely exposes Structured outputs in local model data.
- Local decision data tags Mistral Large 2.1 (2411) for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 3.3 70B
$945
Cheapest tracked route/tier: Fireworks AI
Mistral Large 2.1 (2411)
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 3.3 70B and Mistral Large 2.1 (2411); plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- Mistral Large 2.1 (2411) adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Mistral Large 2.1 (2411) and Llama 3.3 70B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- Llama 3.3 70B adds Vision and Multimodal in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-09 | 2024-11-18 |
| Context window | 8k | 128k |
| Parameters | 70B | 123B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 3 Community | Mistral License |
| Openness | Open weights | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: non-commercial |
| Knowledge cutoff | 2024-12 | - |
Pricing and availability
| Pricing attribute | Llama 3.3 70B | Mistral Large 2.1 (2411) |
|---|---|---|
| Input price | $0.90/1M tokens | - |
| Output price | $0.90/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Llama 3.3 70B | Mistral Large 2.1 (2411) |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | No | Yes |
| 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.
Deep dive
The capability footprint differs most on vision: Llama 3.3 70B, multimodal input: Llama 3.3 70B, and structured outputs: Mistral Large 2.1 (2411). Both models share function calling and tool use, 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.
Pricing coverage is uneven: Llama 3.3 70B has $0.90/1M input tokens and Mistral Large 2.1 (2411) has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Llama 3.3 70B when vision-heavy evaluation and broader provider choice are central to the workload. Choose Mistral Large 2.1 (2411) when long-context analysis and larger context windows 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 3.3 70B or Mistral Large 2.1 (2411)?
Mistral Large 2.1 (2411) supports 128k tokens, while Llama 3.3 70B supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Llama 3.3 70B or Mistral Large 2.1 (2411) open source?
Llama 3.3 70B is listed under Llama 3 Community. Mistral Large 2.1 (2411) is listed under Mistral License. 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 vision, Llama 3.3 70B or Mistral Large 2.1 (2411)?
Llama 3.3 70B has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Llama 3.3 70B or Mistral Large 2.1 (2411)?
Llama 3.3 70B has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for function calling, Llama 3.3 70B or Mistral Large 2.1 (2411)?
Both Llama 3.3 70B and Mistral Large 2.1 (2411) expose function calling. 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 3.3 70B and Mistral Large 2.1 (2411)?
Llama 3.3 70B is available on Fireworks AI. Mistral Large 2.1 (2411) is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-16. Data sourced from public model cards and provider documentation.