Skip to content
AI Atlas
ModelActiveOpen weightsIdentity probable

Qwen3.8 2.4T A95B

Qwenfamily · Qwen3.8

Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...

Open in Graph
data quality60

Updated 3 h ago · first seen 11 Sept 2026

model_01M294WVRHZ940DGTKHNEEH0P7

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
2
API aliases
qwen/qwen3.8-2.4t-a95bqwen3-8-2-4t-a95bIdentifiers 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

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
text
Input
text
Output
text

Capabilities

  • Tool calling

    Yes

    OpenRouter public model & pricing listing · T2

  • Structured output

    Yes

    OpenRouter public model & pricing listing · T2

  • Reasoning

    Yes

    OpenRouter public model & pricing listing · T2

  • Vision

    Unavailable

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Context window

Source:OpenRouter public model & pricing listingT2observed 10 h agomedium

Max output

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Benchmarks12

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=v2.1 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvariantv2.1reasoningonconditions differ across rows → partially comparable2non-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
SciCodecoding · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable2−9.03 ptvs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
Artificial Analysis Intelligence Indexcomposite · indexIndependentreasoningonversion4.3conditions differ across rows → partially comparable2−13.3vs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
Humanity's Last Examknowledge · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable2−16.7 ptvs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
GPQA Diamondreasoning · accuracy · variant=Diamond · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantDiamondreasoningonconditions differ across rows → partially comparable1non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
GPQA Diamondreasoning · accuracy · variant=GPQA Diamond · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantGPQA Diamond1−2.72 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. 12 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 & Pricing3

All offers in the price terminal →
Provider deployments, cheapest output first
ProviderContextInput / 1MCached inOutput / 1MBatch in / outStatusObservedSource
OpenRoutercheapest outputqwen/qwen3.8-2.4t-a95b1Mout 131.1K$0.25—active4 min agosince 11 Sept 2026openrouter.aiT2
OpenRouterqwen/qwen3.8-2.4t-a95b:batch1.01Mout 909K$0.25—active4 min agosince 11 Sept 2026openrouter.aiT2
Together AIqwen3-8-max—$0.25$2 / $6active12 h agosince 11 Sept 2026together.aiT1

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 2 providers

Output price history of Qwen3.8 2.4T A95B$0$2$4$6$8Sept 26Sept 26Sept 26Sept 26Sept 26OpenRouter: first observed → $6 · 11 Sept 2026Together AI: first observed → $6 · 11 Sept 2026
  • OpenRouter
  • Together AI
  • Together AIfirst observed $611 Sept 2026
  • OpenRouterfirst observed $611 Sept 2026

Input price · USD / 1M tokens 2 providers

Input price history of Qwen3.8 2.4T A95B$0$0.50$1$1.5$2$2.5Sept 26Sept 26Sept 26Sept 26Sept 26OpenRouter: first observed → $2 · 11 Sept 2026Together AI: first observed → $2 · 11 Sept 2026
  • OpenRouter
  • Together AI
  • Together AIfirst observed $211 Sept 2026
  • OpenRouterfirst observed $211 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 · collapsedQwen3.8 2.4T A95Bthis modelQwen3.8 2.4T A95B — this model

    Versions & Artifacts2

    Version history

    Context window2 changes

    11 Sept 2026→11 Sept 2026→12 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

    Timeline7

    Full timeline →

    Change history22

    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 16 claims in force

    Release date
    12 Aug 2026
    Openness
    open-weights
    Context window
    983.6K tokens
    Max output
    131.1K tokens
    Modalities
    text
    Input modalities
    text
    Output modalities
    text
    Tokenizer
    Qwen
    Hugging Face repo
    Qwen/Qwen3.8-2.4T-A95B
    Aa median output tokens per second
    38.3
    Openrouter id
    qwen/qwen3.8-2.4t-a95b
    Reasoning
    Yes
    Structured output
    Yes
    Supported parameters
    frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
    Tool calling
    Yes
    22 claims · 20 properties

    Release daterelease_date1

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

    Opennessopenness1

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

    Context windowcontext_length3

    Claim history for Context window
    ValueValid from → toStatusSourceConfidenceExtractor
    1.05M tokens → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic
    983.6K tokens → supersededArtificial AnalysisT2mediumdeterministic
    1.05M tokens → supersededOpenRouter public model & pricing listingT2mediumdeterministic

    Max outputmax_output_tokens1

    Claim history for Max output
    ValueValid from → toStatusSourceConfidenceExtractor
    131.1K tokens → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Modalitiesmodalities1

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

    Input modalitiesmodalities_input1

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

    Hugging Face repohf_repo1

    Claim history for Hugging Face repo
    ValueValid from → toStatusSourceConfidenceExtractor
    Qwen/Qwen3.8-2.4T-A95B → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Aa context windowaa_context_window1

    Claim history for Aa context window
    ValueValid from → toStatusSourceConfidenceExtractor
    983,616 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
    Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is... → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Aa median output tokens per secondmetric.aa_median_output_tokens_per_second1

    Claim history for Aa median output tokens per second
    ValueValid from → toStatusSourceConfidenceExtractor
    38.3 → currentcurrentArtificial AnalysisT2mediumdeterministic

    Openrouter idopenrouter_id1

    Claim history for Openrouter id
    ValueValid from → toStatusSourceConfidenceExtractor
    qwen/qwen3.8-2.4t-a95b → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Openrouter listed atopenrouter_listed_at1

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

    Reasoningreasoning1

    Claim history for Reasoning
    ValueValid from → toStatusSourceConfidenceExtractor
    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, reasoning_effort, 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

    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

    21

    Source tiers

    T221

    Freshest observation

    3 h ago

    Conflicts

    None

    Source documents 3

    Source documents
    SourceDocumentTypeTierLast observedSnapshots
    Together AI — pricingtogether.ai/pricing pricingT1· Official2 h ago1
    OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary4 min ago11
    Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· Quality secondary3 h ago2

    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 →