Mistral Large 4
Mistral Large 4 is Mistral AI's frontier multimodal model for reasoning, coding and agentic workloads, with a 1M-token context window and up to 262,144 tokens of output. It accepts text and images, and at $0.68 per million input tokens it undercuts most of the frontier tier by a wide margin.
Technical Specifications
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What is Mistral Large 4?
Mistral Large 4 is the newest flagship from Mistral AI and the first in the line to pair a 1M-token context window with image input. It targets reasoning, coding and agentic workloads, and it is notable for how far the price sits below the rest of the frontier bracket: $0.68 per million input tokens against $2 to $4 for comparable models. Output runs to 262,144 tokens, double what most rivals allow.
Features & Capabilities
Frontier Reasoning
Flagship-class reasoning and planning from Mistral AI.
1M Context
Whole repositories and document sets in one session.
Coding and Agents
Built for agentic workloads and real software engineering.
Image Input
First Mistral flagship to accept images alongside text.
262K Output
Double the output ceiling of most frontier models.
Frontier for Less
$0.68 per million input tokens - roughly a quarter of comparable flagships.
Who Is Mistral Large 4 For?
Cost-Sensitive Coding
Frontier capability on projects where the budget is real.
Document Analysis
Long reports and contracts read in full rather than chunked.
European Deployment
A strong option where the vendor matters as much as the model.
Agentic Pipelines
Multi-step agents that run often enough for unit cost to decide.
Mistral Large 4 Pricing
- $0.68 per million input tokens, $2.09 per million output tokens
- Roughly a quarter of the input price of comparable frontier models
- Run it from your Hoodgen free credits, no credit card required
- Higher allowances on Hoodgen AI paid plans
What Makes Mistral Large 4 Different?
Mistral Large 4 is the value play in the frontier bracket. On paper it sits beside Opus 5.5 and Muse Wonder; in price it sits far below them at $0.68 per million input tokens. For workloads where a frontier model is genuinely needed but the call volume is high, that gap is the difference between a viable product and one that loses money on every request.
The specification is not a compromise. A 1M-token context window matches the leaders, image input is new to the large tier, and 262,144 output tokens is twice the common ceiling. That combination suits long document analysis and long-form generation as much as it suits coding.
Mistral being a European vendor is a practical consideration rather than a marketing one: for teams with data-residency or procurement requirements it can be the difference between using a frontier model and not. Hoodgen routes it through OpenRouter like the rest of the catalogue, so trying it costs nothing beyond the tokens.
Mistral Large 4 Performance & Pricing
Mistral Large 4 competes on price rather than on benchmark headlines, and the gap to the rest of the frontier tier is large.
What Can You Do With Mistral Large 4?
Mistral Large 4 fits wherever you want frontier behaviour without frontier pricing. It is the model to try first when a project works but the unit economics do not.
Best Use Cases
- High-volume coding assistance
- Full-document analysis without chunking
- Agent pipelines with many steps
- Long-form generation up to 262K tokens
- Workloads with European data requirements
Mistral Large 4 Privacy & Data Policy
Mistral Large 4 is developed by Mistral AI and served through OpenRouter. Prompts and completions are processed under Mistral terms.
As with any third-party model, avoid pasting credentials or personal data. Hoodgen AI keeps cheaper and free models on the same account so a sensitive task can be rerouted without rebuilding anything.
Mistral Large 4 vs Other Models
Frequently Asked Questions
Frontier capability, sensible pricing
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