KI‑Modell‑Intelligenz

Mistral Medium 3.1

mistral/medium-3-1

Von Mistral · Familie: mistral-medium · veröffentlicht 2025-08-12 · Wissensstand: 2025-05

$0.400
Eingabe / 1 Mio. Tokens
$2.00
Ausgabe / 1 Mio. Tokens
262K
Kontextfenster
262K
Max. Ausgabe

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Fähigkeiten

✓ Tool Calling✗ Reasoning✓ Strukturierte Ausgabe✓ Anhänge✗ Offene Gewichte✓ Temperatur-Steuerung
Modalitäten: Eingabe text, image · Ausgabe text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding71
  • Tool calling40/40
  • Structured output20/20
  • Reasoning0/10
  • Context window (100K → 1M)8/20
  • Provider availability3/10
Agents78
  • Tool calling35/35
  • Structured output25/25
  • Reasoning0/15
  • Output token limit15/15
  • Provider availability3/10
JSON / structured output95
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume15/20
Cost efficiency53
  • Headline price (log-scaled)53/95
  • Has prompt-cache pricing0/5
Long context61
  • Context window (100K → 2M)51/90
  • Has published price for full window10/10
Vision84
  • Accepts image input50/50
  • Context window (10K → 1M)21/30
  • Has published price10/10
  • Provider availability3/10
Production-readiness69
  • Number of independent providers15/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers4/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$3.00
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$6.00
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$1.80
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$5.20
< $0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$6.00
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Preis-Details

Empfohlene Preise von openrouter · mistralai/mistral-medium-3.1

$0.400
Eingabe
$2.00
Ausgabe

Bei 3 Anbietern verfügbar

AnbieterAnbieter-Modell-IDEingabe / 1MAusgabe / 1MKontextVeröffentlicht
OpenRouter
openrouter
mistralai/mistral-medium-3.1$0.400$2.00262K2025-08-12
NanoGPT
nano-gpt
mistralai/mistral-medium-3.1$0.400$2.00131K2025-09-05
Kilo Gateway
kilo
mistralai/mistral-medium-3.1$0.400$2.00131K2025-08-12

Datenunterschiede zwischen Anbietern

  • context_window varies: 131072, 262144
  • release_date varies (span 24d): 2025-08-12, 2025-09-05
  • modalities varies across offerings

Anbieter melden unterschiedliche Werte für dieses Modell. Die Schnellinfos oben nutzen den repräsentativen Anbieter; pro Anbieter siehe Tabelle.

Frequently asked questions

How much does Mistral Medium 3.1 cost?

Mistral Medium 3.1 costs $0.400 per 1M input tokens and $2.00 per 1M output tokens, sourced from openrouter. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Mistral Medium 3.1?

Mistral Medium 3.1 has a context window of 262K tokens, with a max output of 262K tokens per reply. This is the total combined size of prompt + completion.

Does Mistral Medium 3.1 support tool calling?

Yes. Mistral Medium 3.1 supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does Mistral Medium 3.1 support structured output / JSON mode?

Yes. Mistral Medium 3.1 supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can Mistral Medium 3.1 accept image input?

Yes. Mistral Medium 3.1 accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check Mistral's docs for the exact rule.

Is Mistral Medium 3.1 open-weight?

No. Mistral Medium 3.1 is a proprietary model — only Mistral (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to Mistral Medium 3.1?

If Mistral Medium 3.1 doesn't fit, consider Mistral Nemo Instruct 2407, Mistral Nemo, Mistral Large 2.1. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Explore more

More Mistral models

Capability lists this model is in

See also

Zuletzt aktualisiert:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.