Mistral Large 3 vs Llama 4 Maverick
A source-verified deployment comparison of Mistral Large 3 vs Llama 4 Maverick.
Values without a defensible common measurement basis are shown as not directly comparable.
Source-verified deployment comparison. The comparison separates architecture, resident weights, active parameters, context, license, checkpoint precision, runtime support and compatible hardware. It does not manufacture a universal winner.
| Field | Mistral Large 3 675B Instruct 2512 | Llama 4 Maverick 17B-128E |
|---|---|---|
| Provider / family | Mistral | Meta Llama |
| Track | Generalist Large | General |
| Generation | Mistral Large 3 | Llama 4 |
| Release date | 2025-11-28 | 2025-04-01 |
| Architecture | MistralLarge3ForConditionalGeneration | MoE Transformer |
| Dense / MoE | MoE | MoE |
| Total parameters | 675.0B | 400.0B |
| Active parameters | 41.0B | 17.0B |
| Modalities | Text, Image | Text |
| Context window | 294,912 | 1,000,000 |
| License | Apache License 2.0 | Llama 4 Community License |
| Commercial classification | Commercial Use Allowed: The official license permits commercial use; its obligations still apply. | Commercial Use Allowed With Conditions: Commercial use is conditional. Review the linked official terms before deployment. |
| Checkpoint formats | safetensors | safetensors |
| Public quantizations | FP8 | FP8 |
| Self-hosting status | Deployable with certified configuration | Deployable with certified configuration |
Overview
Source-verified facts: Mistral Large 3 675B Instruct 2512: Mistral AI / Mistral / Generalist Large / Mistral Large 3 / 2025-11-28 · Llama 4 Maverick 17B-128E: Meta / Meta Llama / General / Llama 4 / 2025-04-01
Architecture differences
Source-verified facts: Mistral Large 3 675B Instruct 2512: MistralLarge3ForConditionalGeneration · Llama 4 Maverick 17B-128E: MoE Transformer
Parameters and active parameters
Source-verified facts: Mistral Large 3 675B Instruct 2512: Total parameters: 675B / Active parameters: 41B MoE · Llama 4 Maverick 17B-128E: Total parameters: 400B / Active parameters: 17B MoE
Context window
Source-verified facts: Mistral Large 3 675B Instruct 2512: 294,912 tokens · Llama 4 Maverick 17B-128E: 1,000,000 tokens
Modalities
Source-verified facts: Mistral Large 3 675B Instruct 2512: Text, Image · Llama 4 Maverick 17B-128E: Text
Runtime ecosystem
Source-verified facts: Mistral Large 3 675B Instruct 2512: vllm · Llama 4 Maverick 17B-128E: transformers
Quantization options
Source-verified facts: Mistral Large 3 675B Instruct 2512: FP8 · Llama 4 Maverick 17B-128E: FP8
VRAM and memory requirements
Source-verified facts: Mistral Large 3 675B Instruct 2512: FP8 ~675.0 GB estimated weight memory · Llama 4 Maverick 17B-128E: FP8 ~400.0 GB estimated weight memory
Recommended GPU configurations
GPU sizing must use the exact checkpoint and precision. The release pages provide memory estimates and inventory-backed recommendations; technical compatibility is kept separate from rental availability.
Multi-GPU considerations
Large variants may require tensor parallelism or multiple nodes. Validate total resident weights, runtime support, interconnect, topology and headroom before choosing a GPU count.
License and commercial use
Source-verified facts: Mistral Large 3 675B Instruct 2512: Apache License 2.0 / Commercial Use Allowed / The official license permits commercial use; its obligations still apply. · Llama 4 Maverick 17B-128E: Llama 4 Community License / Commercial Use Allowed With Conditions / Commercial use is conditional. Review the linked official terms before deployment.
Coding, reasoning and relevant capabilities
Source-verified facts: Mistral Large 3 675B Instruct 2512: Language and reasoning, Flagship · MoE, Text, Image · Llama 4 Maverick 17B-128E: Language and reasoning, MoE, Text
Deployment complexity
Source-verified facts: Mistral Large 3 675B Instruct 2512: 1 checkpoints / 1 runtimes / 1 precisions · Llama 4 Maverick 17B-128E: 1 checkpoints / 1 runtimes / 1 precisions
Which workloads fit each model
Source-verified facts: Mistral Large 3 675B Instruct 2512: Language and reasoning, Generalist Large, Flagship · MoE · Llama 4 Maverick 17B-128E: Language and reasoning, General, MoE
Key trade-offs
Select by workload, verified runtime, precision, memory, license and operational constraints. This comparison does not assign a universal winner.
Official sources
- https://huggingface.co/mistralai/Mistral-Large-3-675B-Instruct-2512
- https://www.apache.org/licenses/LICENSE-2.0.html
- https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8
- https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8/blob/94125d2bd83076b21eed33119525e29eaf3894f4/LICENSE
How should these models be compared?
Select by workload, license, runtime support, memory requirement and deployment constraints.
Last verified: 2026-08-25