---
title: "Mistral: Mistral Large 3 2512 — price, capability and what beats it · Undominated.ai"
canonical: https://undominated.ai/models/mistralai__mistral-large-2512/
description: "Mistral: Mistral Large 3 2512: $0.500/M in, $1.50/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper."
---

# Mistral: Mistral Large 3 2512 — price, capability and what beats it · Undominated.ai

> Mistral: Mistral Large 3 2512: $0.500/M in, $1.50/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper.

[Leaderboard](/) / Mistral

# Mistral Large 3 2512

Mistral · released 2025-12-01

 $0.750 per million tokens, balanced Balanced Summarise Chat Code gen Agentic

## GPT-5.6 Luna is both better and cheaper.

It scores **+36.4** higher and costs **40% less** ($0.450/M against $0.750/M) on this workload — and it does everything this model does.

[DeepSeek V4 Flash 0731](/models/deepseek__deepseek-v4-flash-0731) is cheaper still (86% less) but drops no image, file input.

## Our take

 editorial — not a measurement

Mistral Large 3 at $0.50/$1.50 is startlingly cheap for a flagship — a third of Mistral Medium 3.5's price ($1.50/$7.50), which is the inversion you would not expect from the naming. Mistral positions Medium 3.5 as the agentic long-horizon model and Large 3 as the open-weight generalist, so the names describe lineage rather than capability ranking. Read the pricing page carefully before assuming Large is the premium option. Mistral also applies a flat 90% cached-input discount rather than per-model cache rates, which is simpler than everyone else's scheme.

### Strengths

 - $0.50/$1.50 — cheapest flagship-branded model here
- Described as open-weight by Mistral
- Flat 90% cached-input discount, simple to model
- 262k context, multimodal input

### Weaknesses

 - Naming misleads: Medium 3.5 costs 3x more and targets harder tasks
- No Hugging Face repo listed despite the open-weight claim
- Licence unverified
- No independent benchmark score captured

### Reach for it when

 - EU-hosted deployments with data-residency requirements
- Cheap general-purpose work
- Teams wanting simple cache economics

### Avoid it if

 - You need long-horizon agentic capability — Medium 3.5 is the target there
- You need verified open-weight licensing

Sources: mistral.ai · openrouter.ai

### Every price dimension

| Input | $0.500 /M |
| --- | --- |
| Output | $1.50 /M |
| Cached input | $0.050 /M |

### Independent scores

| Intelligence | 15.9 |
| --- | --- |
| Coding | 20.1 |
| Agentic | 5.5 |

Sources are listed separately rather than averaged. Across the 62 models both have scored they correlate at r = 0.806 — close agreement overall, but four models rank very differently between them, and a blended score would hide exactly those.

### Capability

| Context window | 262K |
| --- | --- |
| Input modes | text, image, file |
| Tool use | yes |
| Reasoning | no |

### Provenance

| Price source | openrouter.ai |
| --- | --- |
| Fetched | 2026-08-24 |
| Quality data | verified |

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.