Mistral 7B Instruct v0.1 — Mistral AI | Modeldex

Mistral 7B Instruct v0.1

Active

A 7.3B parameter model that outperforms Llama 2 13B on all benchmarks, with optimizations for speed and context length.

Updated 4 days agoStructured data from Modeldex catalog

Budget

Knowledge cutoff

Sep 30, 2023(2.6 years ago)

API release

Sep 28, 2023(2.6 years ago)

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

Overview

A 7.3B parameter model that outperforms Llama 2 13B on all benchmarks, with optimizations for speed and context length.

History

Mistral 7B Instruct v0.1 became available via the Mistral AI API on 2023-09-28.

Training & availability

Training data has a knowledge cutoff of 2023-09-30 — 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: 2K tokens.
Input modalities: text.

Recommended for: cheap.

Limitations

The knowledge cutoff is 31 months old — this model will not know about recent events, releases, or API changes.
The context window (2K tokens) is modest by 2026 standards — unsuitable for processing long documents in a single request.
Text-only — cannot process images, audio, or video inputs.

Pricing

Input: $0.1100 per 1M tokens
Output: $0.1900 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-7b-instruct-v0-1",
    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

@ $0.11/1M

Output tokens / month2.0M

@ $0.19/1M

Input cost

$0.55

5.0M × $0.11/1M

Output cost

$0.38

2.0M × $0.19/1M

Total / month

$0.93

$11.16 / 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
Cloudflare	12tok/s	501ms	$0.11	$0.19	3K	—	—

Popularity

Signals from open-source communities — not a quality measure, but useful for gauging adoption among developers.

🤗

HuggingFace downloads

416.0K/ month

HuggingFace likes

1.8K

Integrations & tooling support

Tool calling: Not supported
Structured outputs: Not supported

Price vs quality

Budget pricing

Priced low — good for high-volume tasks. Quality tier pending more benchmark coverage.