Mistral Large — Mistral AI | Modeldex

Mistral Large

Active

Mistral's flagship commercial model with tool calling and structured outputs.

Updated 4 days agoStructured data from Modeldex catalog

VisionAgenticLong context

Knowledge cutoff

Nov 30, 2024(1.4 years ago)

API release

Feb 26, 2024(2.2 years ago)

Not enough benchmark coverage yet for an Intelligence Index — needs at least 3 results across 2 categories.

Overview

Mistral Large is Mistral AI's top hosted model, supporting long context, tool calling, and structured outputs via the Mistral API.

History

Mistral Large became available via the Mistral AI API on 2024-02-26.

Training & availability

Training data has a knowledge cutoff of 2024-11-30 — information about events after that date is unlikely to appear in the model's responses. Mistral AI has not released the underlying model weights — access is via their hosted API only.

Capabilities

Context window: 262K tokens.
Max output: 262K tokens.
Input modalities: text, image.

Recommended for: vision, agentic, long-context.

Limitations

The knowledge cutoff is 16 months old — this model will not know about recent events, releases, or API changes.

Pricing

Input: $0.5000 per 1M tokens
Output: $1.5000 per 1M tokens

Use the cost calculator above to estimate monthly spend for your workload.

Quick start

Minimal example using the OpenRouter API. Copy, paste, replace the key.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="sk-or-...",
)
resp = client.chat.completions.create(
    model="mistral/mistral-large",
    messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)

Cost calculator

Estimate your monthly bill. Presets are typical workload sizes.

Input tokens / month5.0M

@ $0.5/1M

Output tokens / month2.0M

@ $1.5/1M

Input cost

$2.5

5.0M × $0.5/1M

Output cost

2.0M × $1.5/1M

Total / month

$5.5

$66 / year

Providers & performance

1 provider

Multi-provider inference routes for this model — sorted by throughput. Latency is time-to-first-token; throughput is output tokens per second. Data from OpenRouter, measured over the last 30 minutes.

Provider	Throughput	Latency (TTFT)	Input $ / 1M	Output $ / 1M	Context	Quant	Supports
Mistral	35tok/s	472ms	$2	$6	128K	—	tools · json

Benchmarks

Benchmark	Score	Source
MMLUGeneral knowledge	81.2% accuracy	Self-reported Mistral announcement

Integrations & tooling support

Tool calling: Supported
Structured outputs: Supported

Price vs quality

Poor value

Below-average benchmark performance for the price.

Quality percentile: 8.3%
Effective price: $1.25/1M
Pricing breakdown: $0.5/1M in
$1.5/1M out

Community ratings

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