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MMistral Medium 3.5API

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI.

262KContext window · tokens
$1.5Input price · per M tokens
$7.5Output price · per M tokens
Mistral AIProvider

Prices update automatically — checked daily against provider list prices.

See open-source alternatives → Compare all model prices

Benchmarks & performance

Independent benchmark scores for Mistral Medium 3.5, measured by Artificial Analysis. Higher is better.

Intelligence index30.4
Coding index46.9
GPQA74.8%
Humanity's Last Exam13.8%
Long Context Reasoning65.3%
SciCode39.6%
IFBench68.8%
τ²-Bench94.2%
τ-Bench Banking15.1%
Terminal-Bench50.6%
Terminal-Bench Hard33.3%
⚡ Speed132.8 tokens/sec
⏱ Latency0.75s to first token
💰 Blended price$3 / 1M tokens
📈 Value10.1 intelligence points per $
vs. models measured heretop 48%
Scores higher than 52% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $0.69 per 1M tokens (median of 16) — this one costs $3.
Cheaper and better on this index: GPT-5.6 Sol (batch) · GLM 5.3 · GLM 5.3 Flash and 77 more
Benchmark data by Artificial Analysis

About this model

Mistral Medium 3.5 is a commercial AI model by Mistral AI. The specifications below are tracked automatically: pricing is refreshed daily from public list prices, so the numbers on this page reflect the current cost of using the model through its API.

Frequently asked questions

What is Mistral Medium 3.5?

Mistral Medium 3.5 is an AI language model from Mistral AI. It is a proprietary model, available through an API. It scores 30.4 on the Artificial Analysis intelligence index.

Is Mistral Medium 3.5 free?

Mistral Medium 3.5 is not free: it costs $1.5 per million input tokens and $7.5 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is Mistral Medium 3.5 good at?

Independent benchmarks from Artificial Analysis give it GPQA 74.8%, Humanity's Last Exam 13.8%, Long Context Reasoning 65.3%, SciCode 39.6%, IFBench 68.8%, τ²-Bench 94.2%, τ-Bench Banking 15.1%, Terminal-Bench 50.6%, Terminal-Bench Hard 33.3%. It is particularly used for code generation.

How fast is Mistral Medium 3.5?

It generates about 132.8 tokens per second, with a median 0.75s delay before the first token. Measured independently by Artificial Analysis.

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