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 route 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 |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| 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 |
| JSON / 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.
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Last reviewed: 2026-09-18. Data sourced from public model cards and provider documentation.