Llama 3.3 70B vs Mistral Large 3 675B Instruct
Llama 3.3 70B (2025) and Mistral Large 3 675B Instruct (2025) are compact production models from AI at Meta and MistralAI. Llama 3.3 70B ships a 8K-token context window, while Mistral Large 3 675B Instruct ships a 128K-token context window. On pricing, Mistral Large 3 675B Instruct costs $0.5/1M input tokens versus $0.9/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Mistral Large 3 675B Instruct is ~80% cheaper at $0.5/1M; pay for Llama 3.3 70B only for vision-heavy evaluation.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-09 | 2025-12-01 |
| Context window | 8K | 128K |
| Parameters | 70B | 675B |
| Architecture | decoder only | decoder only |
| License | True | 1 |
| Knowledge cutoff | 2024-12 | - |
Pricing and availability
| Pricing attribute | Llama 3.3 70B | Mistral Large 3 675B Instruct |
|---|---|---|
| Input price | $0.9/1M tokens | $0.5/1M tokens |
| Output price | $0.9/1M tokens | $1.5/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3.3 70B | Mistral Large 3 675B Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Llama 3.3 70B, multimodal input: Llama 3.3 70B, function calling: Llama 3.3 70B, tool use: Llama 3.3 70B, and structured outputs: Mistral Large 3 675B Instruct. Both models share the core language-model surface, 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 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 Mistral Large 3 675B Instruct lower by about $0.1 per million blended tokens. Availability is 1 providers versus 3, so concentration risk also matters.
Choose Llama 3.3 70B when vision-heavy evaluation are central to the workload. Choose Mistral Large 3 675B Instruct 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 3 675B Instruct?
Mistral Large 3 675B Instruct 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 3 675B Instruct?
Mistral Large 3 675B Instruct is cheaper on tracked token pricing. Llama 3.3 70B costs $0.9/1M input and $0.9/1M 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 3.3 70B or Mistral Large 3 675B Instruct open source?
Llama 3.3 70B is listed under True. 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 vision, Llama 3.3 70B or Mistral Large 3 675B Instruct?
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 3 675B Instruct?
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.
Where can I run Llama 3.3 70B and Mistral Large 3 675B Instruct?
Llama 3.3 70B is available on Fireworks AI. 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.
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Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.