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Last scan 2026-09-22 Models tracked 267 Providers 35 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

Magistral Medium

by Mistral

Retired reasoning mid tier
Retired on . No longer served on the endpoint we price — the figures below are kept for historical reference only. Replaced by Mistral Medium 3.5. Full retirement status & replacements →
Availability: Retired 2026-07-31. This row tracks the magistral-medium-latest alias (see data/litellm_id_map.json), whose last resolvable version was magistral-medium-2509 (v25.09) — deprecated 2026-05-22, retired 2026-07-31, alternative Mistral Medium 3.5. Mistral's live model list now carries no Magistral model of any version. The released date 2025-06-01 is the family's 1.0 launch; the $2/$5 price is the alias price we last recorded (2026-06-25), which was 1.2's. We had been publishing it as Current.

Today's price · per 1M tokens

Input

$2.00

per 1M tokens

Output

$5.00

per 1M tokens

Blended

$2.75

blended $/1M — 3:1 weighted input:output

Source: official Mistral pricing · read MODELPRICEWATCH.COM · 2026-09-22

Price receipt

Historical price.This model is retiredwithdrawn on so the provider no longer sells it and its page can no longer confirm this number: a price for a model no longer on sale is unconfirmable by definition, not missing. The figures above are the last prices we recorded for this model, kept as a historical record rather than a live quote.

Overview

Mistral's enterprise reasoning model — transparent multi-step chain-of-thought with multilingual reasoning across 8+ languages; Mistral's answer to o3/o4-mini-class reasoners. $2/$5 per 1M tokens. Retired from the Mistral API 2026-07-31.

Capabilities

struck through = not supported
Input 1/4
Text Image Audio Video
Output
Text
Features 2/9
Prompt caching Reasoning Coding Fast inference Long context Open weights Multimodal Web search Realtime

Benchmark performance

accuracy % · higher is better
Percentile vs all tracked models 22.8th1 independent measurement
Percentile per $/Mtok 8.3
GPQA Diamond vendor
70.83%
AIME 2025 vendor
64.95%

Every per-benchmark score we hold for this model is reported by its own vendor, so none is counted toward an accuracy average or any ranking. The percentile above is its standing across the independent composites below.

Independent composite scores
  • AA Intelligence Index: 13 (Artificial Analysis composite across reasoning, knowledge and coding evals)
How it stacks up
  • Ranks #138 of 181 comparably-measured models by percentile score, across 1 independent measurement
  • Ranks #158 of 181 comparably-tested models by normalized performance per dollar

Source: Artificial Analysis, Mistral model card · updated · See full rankings →

Specifications

Provider
Mistral
Context window
128K tokens
Modality
text
Parameters
Proprietary
Open source
No — proprietary
Released
Status
Retired ended
Last updated
Tags
reasoning

Availability verified: per Mistral's own deprecation notice