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ModelCap

Mistral Large 3 2512

Arena #147No linked weights

Mistral AI·#155 of 504 in the all-versions archive

Mistral Large 3 2512 is a language model from Mistral AI. It ranks #155 of 504 in ModelCap's all-versions archive, with an Index score of 58.1, measured on 2 public benchmarks. Its score range of 53.1–63.1 spans positions #125–#186. It is listed at $0.50 per million input tokens and $1.50 per million output tokens from one provider. It reads up to 262K tokens of context, with no downloadable weights linked in the current source data.

Figures as of 7 Nov 2026, 21:47 UTC · download the public dataset · methodology

ModelCap Index · All-versions archive
58.1#155
Measured on 2 public benchmarks · range 53.1–63.1
Evidence as of 6 Nov 2026, 00:00 UTC
Market Gravity
36.4Increased by 0.1
Secondary market signal

Superseded by Mistral Large 4. It no longer holds a current-board position; its all-versions archive rank is #155.

Input
$0.50
per 1M tokens
Output
$1.50
per 1M tokens
Context
262K
tokens
Providers
1
2 endpoints

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
MistralzdrCheapest$0.50$1.50262K—100.0%
Mistraleu$0.55$1.65262K—100.0%

Other versions (3)

ModelCap Index · All-versions archive

Methodology
58.1
Measured on 2 public benchmarks
All-versions archive
#155 of 504
Score range
53.1–63.1
Rank range
#125–#186
Evidence as of
6 Nov 2026, 00:00 UTC
Benchmarks used
Arena Coding, Arena Overall
Technical details
Public rank basis
Measured (measured)
Evidence label
Measured · 2 public benchmark observations across 2 boards
Index support
63.0% · strong
Identity binding
Exact catalogue product · mistralai/mistralai/mistral-large-2512 · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
2
Qualified Index evidence point
58.1
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
58.1
Evidence status
confirmed · 77% mass
General preference
58.0
Coding
59.0
Agents & tools
—
Reasoning
—
Evidence breadth
92%
Evidence coverage
63%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
6.6
Liquidity (providers × uptime)
95.8
Open reach (HF downloads)
—
Surface (context / tools / modalities)
65.3
Freshness
27.3
  • · OpenRouter popularity #232
  • · 1 live provider
  • · Catalogue: context 262144, tools, modalities Text/Image/File
  • · First seen 2025-12-01

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

BES evidence selected · measured input only

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Deployment readiness

Metadata index
40.9
limited · 56% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
80.0
Evaluation provenance
54.0

Not yet published: a pinned repository revision, the architecture and model type, a parameter count, safetensors weight metadata, the base model it derives from, a declared licence, a link to the licence terms, pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
36.4
OpenRouter weekly popularity
#232 of 340

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

Status
Ranked
Source
LMArena
Official rank
#147 of 419
Rating
1414.4
95% confidence interval
1412–1417
Votes
90K
Source published at
6 Nov 2026, 00:00 UTC
Category
overall
Identity match confidence
99%

Market Gravity breakdown

Usage55%
6.6

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
95.8

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
27.3

Time since first public availability, on a six-month half-life.

Specification

Model ID
mistralai/mistral-large-2512
Context window
262K tokens
Declared output cap
210K tokens

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text, Image, File
Outputs
Text
Tokenizer
Mistral
Cached input tokens
$0.05 / 1M
First seen on OpenRouter
1 Dec 2025

Capabilities

  • Not supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Benchmark leaderboards featuring Mistral Large 3 2512

All leaderboards
Public benchmark boards on which Mistral Large 3 2512 has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena text leaderboardArena (LMArena)14141412–1417#147 of 419Not reported6 Nov 2026
Arena coding leaderboardArena (LMArena)14701466–1475#128 of 414Default6 Nov 2026

Mistral Large 3 2512: common questions

How does Mistral Large 3 2512 rank among AI models?

Mistral Large 3 2512 is a superseded version and is not on the current board as of 7 November 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does Mistral Large 3 2512 cost per 1M tokens?

Mistral Large 3 2512 is listed at $0.50 per 1M input tokens and $1.50 per 1M output tokens as of 7 November 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $1.75 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of Mistral Large 3 2512?

Mistral Large 3 2512 has a published context window of 262K tokens (262,144). The snapshot lists a 209,715 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.

Is Mistral Large 3 2512 open-weight?

No linked weights. No downloadable model weights are linked in the current source data. This does not identify every API or chat product that offers the model.

Which API providers serve Mistral Large 3 2512?

One provider serves Mistral Large 3 2512 through OpenRouter as of 7 November 2026: Mistral. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Mistral Large 3 2512 been evaluated on?

Mistral Large 3 2512 has published results on 2 public boards tracked by ModelCap as of 7 November 2026: Arena text 1414 (#147 of 419) and Arena coding 1470 (#128 of 414). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

When was Mistral Large 3 2512 released?

Mistral Large 3 2512 first appeared in the catalogue on 1 Dec 2025. It has since been superseded by Mistral Large 4. Rank and price movements since then are recorded on the site's changes feed.