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ModelAnnouncedClosed / proprietary

qwen-mt-turbo

Qwen Teamfamily · Qwen

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quality53

Updated 30 min ago · first seen 12 Sept 2026

model_01M29XYWSSB1SKJRK2NZE8CQMD

Overview

Identity

Canonical model
Yesidentity confidence: highOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
Official checkpoints
None recorded — closed weightsofficial_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
Artifacts
None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
Provider deployments
1
API aliases
NoneIdentifiers under which providers and evaluators refer to this model.
Folded evaluation variants
0Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.

Openness

Closed / proprietaryweights not available; 7 dimensions unknown.

Weights are not available; the model is reachable only through an API or a product.

  • Weights

    No

  • Inference code

  • Training code

  • Training data

  • Dataset

  • Commercial use

  • Redistribution

  • Derivatives

dimensions marked null are unknown, not false

Key facts

Release date

Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted

Status

Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted

Version

Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted

Official page
qwen.ai

Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted

Architecture

Architecture

Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted

Mixture of experts

Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted

Capabilities

Modalities

Modalities
text
Input
text
Output
text

Capabilities

  • Tool calling

    Unavailable

  • Structured output

    Unavailable

  • Reasoning

    Unavailable

  • Vision

    Unavailable

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

No capability flags have been observed from a source yet — we do not infer them.

Languages

Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted

Provider deployments, cheapest output first
ProviderContextInput / 1MOutput / 1MStatusObservedSource
Qwen APIcheapest outputactive10 h agosince 11 Sept 2026qwenlm.github.ioT2

USD per 1M tokens as published by each provider; native units (per-request fees, flex/priority tiers) are kept verbatim. Rows are append-only — every price change is kept in the history below. Cost of a workload →

Price history

Step lines per provider; amber markers are recorded changes. Click a marker or a row for the evidence behind that price.

Output price · USD / 1M tokens 1 provider

Price history starts with the first observation — no change recorded yet for this side (1 row).

  • Qwen APIfirst observed $0.5011 Sept 2026

Input price · USD / 1M tokens 1 provider

Price history starts with the first observation — no change recorded yet for this side (1 row).

    Explicit derived_from / fine_tuned_from / distilled_from relations stated by sources; artifacts collapsed by kind.
    ANCESTORS 1Qwen3Qwen3qwen-mt-turbothis modelqwen-mt-turbo — this model

    Versions & Artifacts0

    Version history

    Opennessfirst observation only

    11 Sept 2026current

    Statusfirst observation only

    11 Sept 2026current

    Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.

    Artifacts 0

    No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.

    Change history

    Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.
    1 claims · 1 propertiesShow all properties

    Languageslanguages1

    Claim history for Languages
    ValueValid from → toStatusSourceConfidenceExtractor
    Afrikaans, Arabic (Standard, Egyptian, Mesopotamian, Moroccan, Najdi, North Levantine, South Levantine, Ta’izzi-Adeni, and Tunisian), Armenian, Assamese, Asturian, Basque, Belarusian, Bengali, Bosnian, Bulgarian, Burmese, Catalan, Cebuano, Chinese (Cantonese, Simplified, and Traditional), Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Korean, Lao, Latvian, Lithuanian, Luxembourgish, Macedonian, Maithili, Malay, Maltese, Marathi, Nepali, North Azerbaijani, Northern Uzbek, Norwegian Bokmål, Norwegian Nynorsk, Occitan, Odia, Pangasinan, Polish, Portuguese, Romanian, Russian, Serbian, Sicilian, Sindhi, Sinhala, Slovak, Slovenian, Spanish, Swahian, Swedish, Tagalog, Tamil, Telugu, Thai, Tosk Albanian, Turkish, Ukrainian, Urdu, Venetian, Vietnamese, Waray, Welsh, Western PersiancurrentcurrentQwen — official blogT2mediumllm

    Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

    Provenance

    Attributed facts

    14

    Source tiers

    T214

    Freshest observation

    30 min ago

    Conflicts

    None

    Source documents 1

    Source documents
    SourceDocumentTypeTierLast observedSnapshots
    Qwen — official blogqwenlm.github.io/blog/qwen-mt newsT1· Official10 h ago1

    Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

    Data quality (53/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →