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Qwen3 Coder Next

Qwen

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...

Open in Graph
data quality56

Updated 10 h ago · first seen 11 Sept 2026

model_01M294WW5K3NS4WN903QP0G8KN

Overview

Identity

Identity block not returned by the API for this entity.

Openness

Openness not classified yet — no sourced evidence to place this model in the ontology.

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

    No

    Artificial Analysis · 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

Benchmarks9

Compare with another model →

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

No benchmark results recorded

Results appear when a tier 1–3 source publishes them; we never copy scores without a source.

Providers & Pricing1

All offers in the price terminal →
Current prices per 1M tokens
ProviderInput / 1MOutput / 1MCached inBatch in / outContextObservedSource
OpenRouterqwen/qwen3-coder-next$0.12$0.80$0.07—262.1K9 h agoopenrouter.aiT2

USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.

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 Coder Next$0$0.20$0.40$0.60$0.80$1Sept 26Sept 26Sept 26Sept 26OpenRouter: first observed → $0.80 · 11 Sept 2026
  • OpenRouter
  • OpenRouterfirst observed $0.8011 Sept 2026

Input price · USD / 1M tokens 1 provider

Input price history of Qwen3 Coder Next$0$0.05$0.10$0.15Sept 26Sept 26Sept 26Sept 26OpenRouter: first observed → $0.12 · 11 Sept 2026
  • OpenRouter
  • OpenRouterfirst observed $0.1211 Sept 2026

Lineage

Open in Graph →
Explicit derived_from / fine_tuned_from / distilled_from relations stated by sources; artifacts collapsed by kind.
DESCENDANTS 0 · ARTIFACTS1 quantizationartifacts · collapsed1 quantization — artifacts · collapsedQwen3 Coder Nextthis modelQwen3 Coder Next — this model

    Timeline13

    Full timeline →

    Change history17

    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 12 Aug 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

    Back to today →

    Qwen3 Coder Next was not yet in AI Atlas on 12 Aug 2026

    First seen 11 Sept 2026. Nothing is inferred backwards: no attribute is shown for dates before the first observation.
    17 claims · 16 properties

    Release daterelease_date1

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

    Opennessopenness1

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

    Context windowcontext_length2

    Claim history for Context window
    ValueValid from → toStatusSourceConfidenceExtractor
    256K tokens → currentcurrentArtificial AnalysisT2mediumdeterministic
    262.1K tokens → supersededOpenRouter public model & pricing listingT2mediumdeterministic

    Max outputmax_output_tokens1

    Claim history for Max output
    ValueValid from → toStatusSourceConfidenceExtractor
    235.9K 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-Coder-Next → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Descriptiondescription1

    Claim history for Description
    ValueValid from → toStatusSourceConfidenceExtractor
    Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per... → 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
    110.4 → currentcurrentArtificial AnalysisT2mediumdeterministic

    Openrouter idopenrouter_id1

    Claim history for Openrouter id
    ValueValid from → toStatusSourceConfidenceExtractor
    qwen/qwen3-coder-next → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Reasoningreasoning1

    Claim history for Reasoning
    ValueValid from → toStatusSourceConfidenceExtractor
    No → currentcurrentArtificial AnalysisT2mediumdeterministic

    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, logit_bias, logprobs, max_tokens, presence_penalty, 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

    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

    16

    Source tiers

    T216

    Freshest observation

    10 h ago

    Conflicts

    None

    Source documents 3

    Source documents
    SourceDocumentTypeTierLast observedSnapshots
    OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary9 h ago4
    Hugging Face Hub (public pages, model cards, papers)huggingface.co/Intel/Qwen3-Coder-Next-int4-AutoRound model_pageT2· Quality secondary11 h ago3
    Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· Quality secondary11 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 (56/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →