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Qwen3.8 Max

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Alibaba · released 2026-08-03 · 0 recorded token offers

Top 0 cheapest providers (Adjusted $/task)

Within the active global provider, residency and confidentiality filters.

No per-token pricing matches the active global filters.

Benchmarks

Composite88.5
Composite evidence5/5
AA Coding · unversioned snapshot 2026-09-1071.8
AA Coding Agent · v1.4 · 2026-09-0961.3
AA Intelligence · unversioned snapshot 2026-09-1040.3
DesignArena Frontend · unversioned snapshot 2026-09-101323
DesignArena Full-Stack · unversioned snapshot 2026-09-101312
Output speed (t/s)40

Intelligence.ai (formerly DesignArena) publishes this result at product/family scope without an effort setting. It is attached exactly once to qwen3.8-max::default, the deterministic family representative used by collapsed comparisons; this does not assert that Intelligence.ai tested this specific effort setting.

MODEL EVIDENCE

Benchmark sheet

19 / 73 registered benchmark versions covered · 23 observations including existing index snapshots.

Compare this model ↗
Composite retains Coding Agent v1.4 · source 2026-09-09

The five Composite inputs remain unchanged. Its Coding Agent input is the median across complete harness results in the retained v1.4 snapshot from 2026-09-09. Artificial Analysis now publishes v1.5, with different components. Explore current v1.5 separately. Dated snapshot labels on other indices identify unversioned source captures, not a verified semantic version.

Profile signals

No threshold-crossing signal · 18 eligible benchmark families

How flags are calculated

Heuristic screen, not statistical significance: benchmark families are correlated and source uncertainty is unknown. Peer evidence needs ≥ 20 independently measured matched configurations from ≥ 10 distinct model families. A flag needs a directed population z-score of magnitude ≥ 1.5 and a gap of ≥ 1.5 from the leave-one-benchmark-family-out mean z in the same direction, over ≥ 5 other benchmark families.

Protocol-compatible measured/vendor divergences

No verified protocol-compatible vendor/measured pair is available for this model; agreement cannot be assessed.

Agentic

Agentic: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
AA-Briefcase

Version snapshot-2026-09-10

Published board

Tests multi-week professional knowledge-work projects with linked tasks and large source collections.

1387.89 Elomeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-Briefcase · snapshot-2026-09-10 · Published board
Exact value: 1387.89 Elo
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:5e5b4ce7-bc54-47b2-b911-21b9cad8394c:briefcaseBreakdown.overall.elo
GDPval-AA v2

Version 2

Published board

Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.

1630.39 Elomeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: GDPval-AA v2 · 2 · Published board
Exact value: 1630.39 Elo
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:5e5b4ce7-bc54-47b2-b911-21b9cad8394c:gdpval
Terminal-Bench v2.1 (AA)

Version 2.1

Published board

Tests terminal-based work on the 89-task verified refresh using Terminus 2.

0.81273 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Terminal-Bench v2.1 (AA) · 2.1 · Published board
Exact value: 0.812734082397004 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:5e5b4ce7-bc54-47b2-b911-21b9cad8394c:terminalbenchV21
Terminal-Bench v4.0 (AA)

Version 4.0

Published board

Tests terminal-based work on the 66-task release using mini-SWE-agent v2.4.6.

0.18687 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Terminal-Bench v4.0 (AA) · 4.0 · Published board
Exact value: 0.186868686868687 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:5e5b4ce7-bc54-47b2-b911-21b9cad8394c:terminalbenchV40

Coding

Coding: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
Artificial Analysis Coding Agent Index v1.4

Version 1.4

Claude Code

The retained AA Coding Agent Index measures coding-agent systems using the earlier three-component implementation.

0.6131 fractionmeasuredobserved 2026-09-09artificialanalysis.ai
Evidence
Axis: Artificial Analysis Coding Agent Index v1.4 · 1.4 · Claude Code
Exact value: 0.6131027159527611 fraction
Observed: 2026-09-09 · publication date: not recorded
Observation id: aa-coding:1.4:30
Artificial Analysis Coding Agent Index v1.5

Version 1.5

Claude Code

Measures coding-agent systems on DeepSWE v1.1, Terminal-Bench 4.0 and SWE-Atlas-QnA.

0.43265 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Artificial Analysis Coding Agent Index v1.5 · 1.5 · Claude Code
Exact value: 0.43265296412598736 fraction
Observed: 2026-09-10 · publication date: not recorded
Observation id: aa-coding:1.5:cd4c865dc2f539b650d741fd2ebf7f2d
SciCode (AA subproblems)

Version 1.0.1

Published board

Tests scientific Python programming with scientist-annotated background information.

0.53241 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: SciCode (AA subproblems) · 1.0.1 · Published board
Exact value: 0.532407407407407 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:5e5b4ce7-bc54-47b2-b911-21b9cad8394c:scicode
AA Coding Index

Version snapshot-2026-09-10 (unversioned)

Published board

Published AA index from the retained API snapshot. No verified semantic version was supplied.

71.8 pointsmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA Coding Index · snapshot-2026-09-10 (unversioned) · Published board
Exact value: 71.8 points
Observed: 2026-09-10 · publication date: not recorded
Observation id: legacy:aa_coding_index:qwen3.8-max::default
Protocol: inspect · file data/raw/artificialanalysis.json
DesignArena Frontend

Version snapshot-2026-09-10 (unversioned)

Published board

Published Elo. Exact source attachment is retained; fewer than 200 battles excludes a row from radar normalization and anomaly peers.

1323 Elomeasured1448 battlesobserved 2026-09-10designarena.ai
Evidence
Axis: DesignArena Frontend · snapshot-2026-09-10 (unversioned) · Published board
Exact value: 1323 Elo
Observed: 2026-09-10 · publication date: not recorded
Observation id: legacy:frontend:qwen3.8-max::default
Protocol: inspect · file data/raw/designarena.json
DesignArena Full-Stack

Version snapshot-2026-09-10 (unversioned)

Published board

Published Elo. Exact source attachment is retained; fewer than 200 battles excludes a row from radar normalization and anomaly peers.

1312 Elomeasured1222 battlesobserved 2026-09-10designarena.ai
Evidence
Axis: DesignArena Full-Stack · snapshot-2026-09-10 (unversioned) · Published board
Exact value: 1312 Elo
Observed: 2026-09-10 · publication date: not recorded
Observation id: legacy:fullstack:qwen3.8-max::default
Protocol: inspect · file data/raw/designarena.json

Knowledge

Knowledge: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
Humanity's Last Exam (AA text-only)

Version snapshot-2026-09-10

Published board

Tests expert-level knowledge on AA's text-only Humanity's Last Exam subset.

0.43049 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Humanity's Last Exam (AA text-only) · snapshot-2026-09-10 · Published board
Exact value: 0.430491195551437 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:5e5b4ce7-bc54-47b2-b911-21b9cad8394c:hle
AA-Omniscience Index

Version snapshot-2026-09-10

Published board

Tests factual reliability while rewarding correct answers and penalizing hallucinations.

3.4 pointsmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-Omniscience Index · snapshot-2026-09-10 · Published board
Exact value: 3.4 points
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:5e5b4ce7-bc54-47b2-b911-21b9cad8394c:omniscience

Long-context

Long-context: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
GDP.pdf (AA)

Version snapshot-2026-09-10

Published board

Tests professional reasoning over long PDFs with AA document preparation and grading.

0.202 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: GDP.pdf (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.202 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:5e5b4ce7-bc54-47b2-b911-21b9cad8394c:gdpPdfAllPass
AA-LCR v1.1

Version 1.1

Published board

Tests reasoning across multiple long documents with corrected answer keys and grading.

0.78333 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-LCR v1.1 · 1.1 · Published board
Exact value: 0.783333333333333 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:5e5b4ce7-bc54-47b2-b911-21b9cad8394c:lcr
MLCR-AA

Version snapshot-2026-09-10

Published board

Tests medical-record synthesis and reasoning across long, fragmented case documents.

0.19444 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: MLCR-AA · snapshot-2026-09-10 · Published board
Exact value: 0.194444444444444 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:5e5b4ce7-bc54-47b2-b911-21b9cad8394c:mlcrOverall

Reasoning

Reasoning: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
AA Intelligence Index

Version snapshot-2026-09-10 (unversioned)

Published board

Published AA index from the retained API snapshot. No verified semantic version was supplied.

40.3 pointsmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA Intelligence Index · snapshot-2026-09-10 (unversioned) · Published board
Exact value: 40.3 points
Observed: 2026-09-10 · publication date: not recorded
Observation id: legacy:aa_intelligence_index:qwen3.8-max::default
Protocol: inspect · file data/raw/artificialanalysis.json

Roleplay

Roleplay: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
Japanese-RP-Bench v2 (tegnike fork)

Version 2

Published board

Fork of Japanese-RP-Bench adding v2 metrics for role fidelity, conversation quality, persona stability, robustness, and recovery in Japanese roleplay.

87.66 pointsmeasuredobserved 2026-09-10raw.githubusercontent.com
Evidence
Axis: Japanese-RP-Bench v2 (tegnike fork) · 2 · Published board
Exact value: 87.66 points
Observed: 2026-09-10T21:53:18Z · publication date: not recorded
Observation id: public:0052589720e9743635359590

Science

Science: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
CritPt (AA)

Version snapshot-2026-09-10

Published board

Tests research-level physics reasoning with Python, symbolic and numerical answers.

0.2 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: CritPt (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.2 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:5e5b4ce7-bc54-47b2-b911-21b9cad8394c:critpt
GPQA Diamond (AA)

Version snapshot-2026-09-10

Published board

Tests graduate-level biology, physics and chemistry knowledge on the Diamond subset.

0.92727 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: GPQA Diamond (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.927272727272727 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:5e5b4ce7-bc54-47b2-b911-21b9cad8394c:gpqa

Tool-use

Tool-use: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
AutomationBench-AA

Version 1.0.6

Published board

Tests multi-app SaaS workflows through REST tools on a held-out AutomationBench split.

0.49232 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AutomationBench-AA · 1.0.6 · Published board
Exact value: 0.4923210407553669 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:5e5b4ce7-bc54-47b2-b911-21b9cad8394c:automationBenchPartialScore
τ³-Banking (AA)

Version 1.0.1

Published board

Tests banking support agents that retrieve policies and change account state through tools.

0.5134 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: τ³-Banking (AA) · 1.0.1 · Published board
Exact value: 0.51340206185567 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:5e5b4ce7-bc54-47b2-b911-21b9cad8394c:tauBanking

Vision

Vision: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
MMMU Pro (AA)

Version snapshot-2026-09-10

Published board

Tests multimodal understanding using challenging ten-option questions.

0.82312 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: MMMU Pro (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.823121387283237 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:5e5b4ce7-bc54-47b2-b911-21b9cad8394c:mmmuPro

Writing

Writing: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
The Slop Index

Version snapshot-2026-09-10

Published board

Leaderboard scoring how much each model's writing reads like chatbot slop versus pre-AI human writing, blending live arena votes with four mechanical axes.

28.6 pointsmeasuredobserved 2026-09-10theslopindex.com
Evidence
Axis: The Slop Index · snapshot-2026-09-10 · Published board
Exact value: 28.6 points
Observed: 2026-09-10T23:12:30.991903+00:00 · publication date: not recorded
Observation id: public:c561b012a2d46b1a01ddac9e
Missing coverage · 54 benchmark versions

No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.

Token offers by platform — Adjusted $/task

Adjusted costs are modeled USD per task: AA output tokens × OpenRouter usage I/O (Chutes global fallback). These are general usage and benchmark proxies for coding-agent work. Missing AA data assumes 1,000 output tokens/task; unknown cache hit assumes 0%; unmeasured additional cache writes assume 0 tokens. Click any underlined price for exact inputs, dates and assumptions. Raw list prices use the selected fixed input/output blend, in USD per million tokens.

0 offers within the active global filters; “—” means the catalog is active but no public token price is available.

No token offers match the active global filters.

Benchmark Heaven — Model benchmarks & costs