Llama 3.3 70B vs Mistral Large 2
Llama 3.3 70B (2025) and Mistral Large 2 (2025) are compact production models from AI at Meta and MistralAI. Llama 3.3 70B ships a 8K-token context window, while Mistral Large 2 ships a 128K-token context window. On MMLU PRO, Llama 3.3 70B leads by 1.6 pts. On pricing, Mistral Large 2 costs $0.48/1M input tokens versus $0.9/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Mistral Large 2 is ~88% cheaper at $0.48/1M; pay for Llama 3.3 70B only for vision-heavy evaluation.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-09 | 2025-11-25 |
| Context window | 8K | 128K |
| Parameters | 70B | 123B |
| Architecture | decoder only | decoder only |
| License | True | True |
| Knowledge cutoff | 2024-12 | 2025-07 |
Pricing and availability
| Pricing attribute | Llama 3.3 70B | Mistral Large 2 |
|---|---|---|
| Input price | $0.9/1M tokens | $0.48/1M tokens |
| Output price | $0.9/1M tokens | $2.4/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3.3 70B | Mistral Large 2 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | No | Yes |
| Code execution | No | No |
Benchmarks
| Benchmark | Llama 3.3 70B | Mistral Large 2 |
|---|---|---|
| MMLU PRO | 71.3 | 69.7 |
Deep dive
On shared benchmark coverage, MMLU PRO has Llama 3.3 70B at 71.3 and Mistral Large 2 at 69.7, with Llama 3.3 70B ahead by 1.6 points. The largest visible gap is 1.6 points on MMLU PRO, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on structured outputs: Mistral Large 2. Both models share vision, multimodal input, 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.
For cost, Llama 3.3 70B lists $0.9/1M input and $0.9/1M output tokens, while Mistral Large 2 lists $0.48/1M input and $2.4/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.3 70B lower by about $0.16 per million blended tokens. Availability is 1 providers versus 4, so concentration risk also matters.
Choose Llama 3.3 70B when vision-heavy evaluation are central to the workload. Choose Mistral Large 2 when long-context analysis, larger context windows, and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Llama 3.3 70B or Mistral Large 2?
Mistral Large 2 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.
Which is cheaper, Llama 3.3 70B or Mistral Large 2?
Mistral Large 2 is cheaper on tracked token pricing. Llama 3.3 70B costs $0.9/1M input and $0.9/1M output tokens. Mistral Large 2 costs $0.48/1M input and $2.4/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 3.3 70B or Mistral Large 2 open source?
Llama 3.3 70B is listed under True. Mistral Large 2 is listed under True. 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?
Both Llama 3.3 70B and Mistral Large 2 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, Llama 3.3 70B or Mistral Large 2?
Both Llama 3.3 70B and Mistral Large 2 expose multimodal input. 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?
Llama 3.3 70B is available on Fireworks AI. Mistral Large 2 is available on OpenRouter, IBM watsonx, AWS Bedrock, and Mistral AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.