Skip to content
AI Atlas
ModelActiveOpen weightsIdentity probable

Qwen3.5-122B-A10B

Qwenfamily · Qwen3.5

The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...

Open in Graph
data quality60

Updated 3 h ago · first seen 11 Sept 2026

model_01M294WW49F82VPVN986VP3Q7F

Overview

Identity

Canonical model
Yesidentity confidence: mediumOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
Official checkpoints
official_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
Artifacts
2 quantizations0 official · 2 third-partySeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
Provider deployments
1
API aliases
qwen/qwen3.5-122b-a10bqwen3-5-122b-a10bqwen3-5-122b-a10b-non-reasoningIdentifiers under which providers and evaluators refer to this model.
Folded evaluation variants
1Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.

Openness

Open weights— weights downloadable; 7 dimensions unknown.

Weights downloadable under a permissive or Creative Commons licence allowing commercial use; code or data may be missing.

  • Weights

    Yes

  • Inference code

    —

  • Training code

    —

  • Training data

    —

  • Dataset

    —

  • Commercial use

    —

  • Redistribution

    —

  • Derivatives

    —

dimensions marked null are unknown, not false

Key facts

Release date

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Openrouter id

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Architecture

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Hugging Face repo

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Capabilities

Modalities

Modalities
imagetextvideo
Input
imagetextvideo
Output
text

Capabilities

  • Tool calling

    Yes

    OpenRouter public model & pricing listing · T2

  • Structured output

    Yes

    OpenRouter public model & pricing listing · T2

  • Reasoning

    Yes

    Artificial Analysis · T2

  • Vision

    Yes

    OpenRouter public model & pricing listing · T2

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Context window

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Max output

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Benchmarks36

Compare with another model →

Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric

Benchmark results grouped by comparability group
Benchmark · groupBest scoreTrustConfigurationResultsvs leaderEvaluatedSource
Terminal-Benchagentic · accuracy · variant=hard · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvarianthardreasoningonconditions differ across rows → partially comparable4−34.8 ptvs gpt-5.6-solobs. 12 Sept 2026artificialanalysis.aiT2
Terminal-Benchagentic · accuracy · variant=v2.1 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvariantv2.1reasoningonconditions differ across rows → partially comparable4non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
Terminal-Benchagentic · accuracy · variant=v4.0 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvariantv4.0reasoningonconditions differ across rows → partially comparable2non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
τ²-benchagentic · pass^1 · variant=Telecom · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantTelecomreasoningonconditions differ across rows → partially comparable2non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
τ²-benchagentic · pass^1 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysis2−5.55 ptvs Z.ai GLM 5.2obs. 11 Sept 2026artificialanalysis.aiT2
SciCodecoding · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable2−23.4 ptvs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
Artificial Analysis Intelligence Indexcomposite · indexIndependentreasoningoffversion4.3conditions differ across rows → partially comparable4−35.6vs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
IFBenchinstruction-following · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable4−7.62 ptvs Grok 4.3obs. 12 Sept 2026artificialanalysis.aiT2
Humanity's Last Examknowledge · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable4−33.9 ptvs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
MMMU-Promultimodal · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable4−11.9 ptvs gpt-6-astraobs. 12 Sept 2026artificialanalysis.aiT2
GPQA Diamondreasoning · accuracy · variant=Diamond · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantDiamondreasoningonconditions differ across rows → partially comparable2non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
GPQA Diamondreasoning · accuracy · variant=GPQA Diamond · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantGPQA Diamond2−10.6 ptvs gpt-6-astraobs. 11 Sept 2026artificialanalysis.aiT2

Current rows only, grouped by benchmark → canonical metric → comparability group (task configuration). Effort variants folded into this model appear as rows of the same group. 36 current rows in total. “vs leader” compares with the current leader of the benchmark's primary group only; other groups are not directly comparable. Comparability rules →

Providers & Pricing1

All offers in the price terminal →
Provider deployments, cheapest output first
ProviderContextInput / 1MOutput / 1MStatusObservedSource
OpenRoutercheapest outputqwen/qwen3.5-122b-a10b262.1Kout 65.5Kactive22 min agosince 11 Sept 2026openrouter.aiT2

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

Output price history of Qwen3.5-122B-A10B$0$0.50$1$1.5$2$2.5Sept 26Sept 26Sept 26Sept 26OpenRouter: first observed → $2.08 · 11 Sept 2026
  • OpenRouter
  • OpenRouterfirst observed $2.0811 Sept 2026

Input price · USD / 1M tokens 1 provider

Input price history of Qwen3.5-122B-A10B$0$0.10$0.20$0.30Sept 26Sept 26Sept 26Sept 26OpenRouter: first observed → $0.26 · 11 Sept 2026
  • OpenRouter
  • OpenRouterfirst observed $0.2611 Sept 2026

Lineage

Open in Graph →
Explicit derived_from / fine_tuned_from / distilled_from relations stated by sources; artifacts collapsed by kind.
DESCENDANTS 0 · ARTIFACTS2 quantizationsartifacts · collapsed2 quantizations — artifacts · collapsedQwen3.5-122B-A10Bthis modelQwen3.5-122B-A10B — this model

    Versions & Artifacts2

    Version history

    Context windowfirst observation only

    11 Sept 2026current

    Max outputfirst observation only

    11 Sept 2026current

    Opennessfirst 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 2

    quantizations 2

    Timeline19

    Full timeline →

    Change history27

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

    Viewing AI Atlas as of 11 Sept 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

    Back to today →

    Attributes as of 11 Sept 2026 17 claims in force

    Release date
    25 Feb 2026
    Openness
    open-weights
    Context window
    262.1K tokens
    Max output
    65.5K tokens
    Modalities
    image, text, video
    Input modalities
    image, text, video
    Output modalities
    text
    Tokenizer
    Qwen3
    Hugging Face repo
    Qwen/Qwen3.5-122B-A10B
    Aa median output tokens per second
    140.4
    Openrouter id
    qwen/qwen3.5-122b-a10b
    Reasoning
    No
    Structured output
    Yes
    Supported parameters
    frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
    Tool calling
    Yes
    Vision
    Yes
    27 claims · 21 properties

    Release daterelease_date1

    Claim history for Release date
    ValueValid from → toStatusSourceConfidenceExtractor
    25 Feb 2026 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Opennessopenness2

    Claim history for Openness
    ValueValid from → toStatusSourceConfidenceExtractor
    open-weights → currentcurrentArtificial AnalysisT2mediumdeterministic
    open-weights → currentcurrentArtificial AnalysisT2mediumdeterministic

    Context windowcontext_length2

    Claim history for Context window
    ValueValid from → toStatusSourceConfidenceExtractor
    262.1K tokens → currentcurrentArtificial AnalysisT2mediumdeterministic
    262.1K tokens → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Max outputmax_output_tokens1

    Claim history for Max output
    ValueValid from → toStatusSourceConfidenceExtractor
    65.5K tokens → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Modalitiesmodalities1

    Claim history for Modalities
    ValueValid from → toStatusSourceConfidenceExtractor
    image, text, video → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Input modalitiesmodalities_input1

    Claim history for Input modalities
    ValueValid from → toStatusSourceConfidenceExtractor
    image, text, video → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Output modalitiesmodalities_output1

    Claim history for Output modalities
    ValueValid from → toStatusSourceConfidenceExtractor
    text → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Tokenizertokenizer1

    Claim history for Tokenizer
    ValueValid from → toStatusSourceConfidenceExtractor
    Qwen3 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Hugging Face repohf_repo1

    Claim history for Hugging Face repo
    ValueValid from → toStatusSourceConfidenceExtractor
    Qwen/Qwen3.5-122B-A10B → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Aa context windowaa_context_window1

    Claim history for Aa context window
    ValueValid from → toStatusSourceConfidenceExtractor
    262,144 tokens → currentcurrentArtificial AnalysisT2mediumdeterministic

    Aa opennessaa_openness1

    Claim history for Aa openness
    ValueValid from → toStatusSourceConfidenceExtractor
    open-weights → currentcurrentArtificial AnalysisT2mediumdeterministic

    Descriptiondescription1

    Claim history for Description
    ValueValid from → toStatusSourceConfidenceExtractor
    The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of... → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Aa median output tokens per secondmetric.aa_median_output_tokens_per_second3

    Claim history for Aa median output tokens per second
    ValueValid from → toStatusSourceConfidenceExtractor
    125.7 → currentcurrentArtificial AnalysisT2mediumdeterministic
    140.4 → currentcurrentArtificial AnalysisT2mediumdeterministic
    126.4 → supersededArtificial AnalysisT2mediumdeterministic

    Openrouter idopenrouter_id1

    Claim history for Openrouter id
    ValueValid from → toStatusSourceConfidenceExtractor
    qwen/qwen3.5-122b-a10b → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Openrouter listed atopenrouter_listed_at1

    Claim history for Openrouter listed at
    ValueValid from → toStatusSourceConfidenceExtractor
    25 Feb 2026 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Reasoningreasoning3

    Claim history for Reasoning
    ValueValid from → toStatusSourceConfidenceExtractor
    Yes → currentcurrentArtificial AnalysisT2mediumdeterministic
    No → supersededArtificial AnalysisT2mediumdeterministic
    Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Structured outputstructured_output1

    Claim history for Structured output
    ValueValid from → toStatusSourceConfidenceExtractor
    Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Supported parameterssupported_parameters1

    Claim history for Supported parameters
    ValueValid from → toStatusSourceConfidenceExtractor
    frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Tool callingtool_calling1

    Claim history for Tool calling
    ValueValid from → toStatusSourceConfidenceExtractor
    Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Visionvision1

    Claim history for Vision
    ValueValid from → toStatusSourceConfidenceExtractor
    Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Weights availableweights_available1

    Claim history for Weights available
    ValueValid from → toStatusSourceConfidenceExtractor
    Yes → currentcurrentAI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2highderived

    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

    22

    Source tiers

    T222

    Freshest observation

    3 h ago

    Conflicts

    None

    Source documents 4

    Source documents
    SourceDocumentTypeTierLast observedSnapshots
    OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary22 min ago10
    Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· Quality secondary3 h ago2
    Hugging Face Hub (public pages, model cards, papers)huggingface.co/nvidia/Qwen3.5-122B-A10B-NVFP4 model_pageT2· Quality secondary6 h ago4
    Hugging Face Hub (public pages, model cards, papers)huggingface.co/Intel/Qwen3.5-122B-A10B-int4-AutoRound model_pageT2· Quality secondary7 h ago4

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

    Data quality (60/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →