Bonus: Top up now and we'll double your first deposit — get x2 credits instantly.
Get Started
Sign Up
Sign Up

Pixtral Large Latest API: Endpoint & 30% Discount

Pixtral Large Latest is available on LLM.API as an OpenAI-compatible chat endpoint—route Mistral quality through one key with transparent token pricing.

Compare Pixtral Large Latest alternatives (31) →
Browse available models

What is Pixtral Large Latest?

On LLM.API, Pixtral Large Latest (pixtral-large-latest) serves as a Mistral conversational model for products that need 128K tokens context windows and predictable token pricing. pixtral-large-latest provided by mistral. It is wired for API access through LLM.API with OpenAI-compatible patterns.

Can you self-host Pixtral Large Latest?

No. We found no public weights for Pixtral Large Latest on Hugging Face, so there is nothing to download, quantize or serve on your own GPUs: no VRAM budget, no vLLM or GGUF build to plan for. The only way to run it is over an API.

Not on LLM.API yet

We do not route this model through our API at the moment. Browse the models you can call today — most workloads have a close match already live.

Browse available models

Providers

LLM.API routes Pixtral Large Latest to the providers below, with discounted effective rates versus list price.

List price by provider

InputOutput
mistral$4 in
$12 out

Provider list prices; the LLM.API discount applies on top.

ProviderPricingContextCapabilities
mistral30% offin $4; out $12 per 1M tokens128K tokensvision, tools, streaming, JSON, structured

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 27 Sept 2026.

Try this model

Test Pixtral Large Latest right here — free to start.

Pixtral Large Latest
Hi! Want to test the model?

Suggestions for your first prompt

Not available on LLM API yet

We do not route this model through our API at the moment, so there is no endpoint or code snippet for it yet. Browse the models you can call today — most workloads have a close match already live.

Browse available models

Pixtral Large Latest in production

What the model is good at.

  • Multilingual drafting

    Drafts and translates professional content across major business languages. Grounded in the model's chat role rather than generic chat claims.

  • Instruction following

    Follows detailed system and user instructions with strong adherence to format and tone. Tuned to how teams typically call Pixtral Large Latest.

  • Multi-step reasoning

    Breaks down complex problems into intermediate steps before answering. Grounded in the model's chat role rather than generic chat claims.

  • Analytical writing

    Produces clear analyses, comparisons, and decision memos from messy source material. Reflects Mistral positioning for this endpoint.

  • Safety-aware replies

    Supports product policies with refusals and cautious handling of sensitive topics.

What you get when you call Pixtral Large Latest through LLM.API.

  • Unified AI Routing

    Reach Pixtral Large Latest and sibling models through one OpenAI-compatible endpoint.

    One endpoint, every model.

  • Cost Control

    Production: Compare provider price points and keep spend visible as you scale Pixtral Large Latest.

    More performance, less spend.

  • Reliability Layer

    Retry and route across configured providers when a single upstream blips.

    Never go dark on users.

  • Observability

    Production: Trace prompts, tokens, and errors for Pixtral Large Latest alongside the rest of your stack.

    See every token, everywhere.

  • Drop-in SDKs

    Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.

    Think tasks, not models.

  • Model Breadth

    Swap Pixtral Large Latest for chat, media, or embedding alternatives without rewriting auth.

    Scale from 1 to millions.

When to Use — When NOT to Use

Use it if...

  • You need provider failover options exposed for this model id (Pixtral Large Latest)
  • You need a general-purpose text model for assistants, agents, or content workflows (Pixtral Large Latest)
  • You want OpenAI-compatible chat completions through a single LLM.API key (Pixtral Large Latest)
  • Your prompts benefit from the model's family strengths (reasoning, speed, or cost) (Pixtral Large Latest)

Avoid if...

  • You need pure embedding, OCR, or media generation instead of chat
  • Your use case depends on unpublished proprietary benchmarks not listed here
  • You require on-prem only deployment with no cloud inference
  • You need guaranteed real-time hard latency SLAs without benchmarking the provider

LLM API rating for Pixtral Large Latest

★ 2.1/ 5.0LLM API rating
50% production adoption · 30% category benchmark · 20% tooling & value✓ Verified benchmark · Artificial Analysis
2.5Production adoptionNot yet tracked — no public usage data for this release
1.2Benchmark qualityArtificial Analysis Intelligence Index 7.1
2.6Developer ecosystemContext window, tool and JSON support, price against the category median
Reasoning & chat 2.1Coding 2.1Vision & multimodal 2.6Tool & function calling 3.8
How is this rating calculated?

Every model gets a separate 1.0–5.0 score for each category it can be used in, so a model can rate high for coding and lower for vision. The score combines three parts:

  1. Production adoption — 50%. How widely the model is actually used in production: provider traffic, LiteLLM and gateway usage, open-weight downloads and its LMArena rank. Proven, widely used models score highest.
  2. Category benchmark — 30%. The public benchmark that matters for that category — the Artificial Analysis Intelligence Index and LMArena Elo for reasoning, LMArena coding Elo for coding, image and document support plus vision Elo for vision, tool and JSON support for function calling, measured speed for voice.
  3. Tooling & value — 20%. Context window, support for tools, structured outputs and streaming, and price compared with the category median.

Scores of 4.0 and above are shown in green, 3.0–3.9 in yellow, below 3.0 in red. When a model has no public data for a part, it gets a neutral value instead of an invented number.

A “Verified benchmark” mark (✓) means an independent lab — LMArena or Artificial Analysis — has actually tested that model, and the source figure is shown. Models without that mark are labelled “Estimated from published specs”: the score comes from the published context window, tool and schema support, price and adoption only, because no independent lab has tested them yet.

One exception: a brand-new top-tier model that scores very high on the independent benchmarks but has no usage history yet is rated on the benchmark (60%) and tooling & value (40%) alone, so a missing adoption figure can't hold it back. All inputs come from public sources and are refreshed weekly.

Adoption and benchmark inputs come from public sources — LMArena, Artificial Analysis Intelligence Index and published model specs. Updated weekly.

COMMUNITY

What developers say about Mistral models

LMArena—Speed—Sources: LMArena, Artificial Analysis

Summarised from publicly published developer and community reviews of this model family. Opinions are the sources’, not LLM.API’s, and may not be specific to Pixtral Large Latest.

  • Long-form paid reviews rate Mistral Large around 4/5 and call it the best European-hosted option when data residency matters.
  • For pure coding, community consensus is that it trails the top US and Chinese models, though it is considered fully usable as an assistant.
  • Developers pick it mainly for EU hosting, predictable pricing, and open-weight siblings rather than leaderboard position.

SOURCES

Frequently Asked Questions

  • What modalities does Pixtral Large Latest support?

    Pixtral Large Latest accepts text, image and produces text according to its architecture metadata on LLM.API.

  • How is Pixtral Large Latest priced on LLM.API?

    Listed pricing metadata shows: In $4.00 / 1M tokens · Out $12.00 / 1M tokens. LLM.API may offer discounted effective rates (illustrative ~30% callout vs list when available).. Confirm live rates in the LLM.API dashboard or docs before production budgeting.

  • Can I use tools or structured outputs with Pixtral Large Latest?

    Tool and/or structured-output flags appear on one or more providers for this model—confirm in the providers table.

  • Where is the canonical page for Pixtral Large Latest?

    https://llmapi.ai/models/mistralai-pixtral-large-latest/

  • Is Pixtral Large Latest a chat model?

    Yes—Pixtral Large Latest is exposed as a chat/completions-style endpoint on LLM.API.

  • What is Pixtral Large Latest?

    pixtral-large-latest provided by mistral. It is wired for API access through LLM.API with OpenAI-compatible patterns. On LLM.API it is addressed as `pixtral-large-latest`.

  • What is the context length for Pixtral Large Latest?

    Reported context for Pixtral Large Latest is 128K tokens. Always verify the active provider row if multiple providers are listed.

  • Which providers serve Pixtral Large Latest?

    LLM.API currently lists: mistral. Availability can vary by region and account.

  • What are limitations of Pixtral Large Latest?

    Like other API models, Pixtral Large Latest can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.

  • When should I choose Pixtral Large Latest?

    You want OpenAI-compatible chat completions through a single LLM.API key — especially when you specifically need Pixtral Large Latest.

COMPARE

Competitive Models

Get one key to every model

Swap your API key. Keep your code.

Browse available models Talk to sales