RankingEffort benchmarks

Qwen3.5-397B-A17B effort benchmarks

Compare measured Low, Medium, High and other settings. Every number keeps its source.

Model

Qwen3.5-397B-A17B

43 measured results · 3 reported effort labels · 28 benchmark/harness combinations. Model evidence and sources →

Capability score evidence

Qwen3.5-397B-A17B · Reasoning: 19.4 overall comparison score. Meets the overall evidence requirements.

Which sources carry the weight?

Artificial Analysis · 100.0% direct comparison weight · independent

These shares describe the comparisons entering the fit, not fractions of the final score.

How sensitive is this score?

Remove one evaluator or family and refit the graph against the same overall panel. Values use the matching dataset audited 2026-09-12. These are sensitivity checks, not confidence intervals; ranking eligibility may also change.

Removed evidence	Recomputed score	Change
Artificial Analysis	Comparison path lost	—
ARC Prize	22.2	+2.8
Datacurve	17.0	-2.5
LiveCodeBench	19.3	-0.1
Scale	20.8	+1.4
Terminal-Bench	19.4	+0.0
Cognition	20.0	+0.6
LiveBench	19.6	+0.2
SWE-rebench	19.8	+0.4
Epoch AI	19.6	+0.1
Vals AI	18.9	-0.6
Provider reports · Anthropic	19.4	+0.0
Provider reports · Moonshot AI	19.4	-0.0
Provider reports · Meta	19.4	-0.0
Provider reports · Mistral	19.4	+0.0
All provider reports	19.4	-0.1

Every benchmark family

Removed evidence	Recomputed score	Change
arc-agi	22.1	+2.7
deepswe	17.0	-2.4
ifbench	18.4	-1.0
gpqa	18.7	-0.7
briefcase	20.0	+0.6
epoch-game-puzzles	18.8	-0.6
mmmu-pro	20.0	+0.6
frontiercode	20.0	+0.6
simpleqa	20.0	+0.6
aa-lcr	18.9	-0.5
gdpval	19.9	+0.5
terminal-bench	19.9	+0.5
mmlu-pro	19.8	+0.4
hle	19.8	+0.4
enterprise-ops	19.8	+0.4
swe-rebench	19.8	+0.4
scicode	19.8	+0.4
gdp-pdf	19.0	-0.4
automationbench	19.7	+0.3
tau-bench	19.2	-0.3
harvey	19.7	+0.3
itbench	19.2	-0.3
multi-swe-bench	19.2	-0.2
livebench-instructions	19.6	+0.2
gmmlu	19.2	-0.2
livebench-language	19.6	+0.2
critpt	19.6	+0.2
swe-atlas-qna	19.3	-0.1
frontiermath	19.5	+0.1
arc-agi-3	19.3	-0.1
livebench-coding	19.3	-0.1
vibe-code	19.3	-0.1
livebench-reasoning	19.3	-0.1
vals-finance-agent	19.3	-0.1
swe-atlas-test-writing	19.3	-0.1
vals-legal-research	19.4	-0.1
aime	19.5	+0.1
apex-agents	19.5	+0.1
vals-code-migration	19.4	-0.0
analyst-agent	19.5	+0.0
math500	19.4	+0.0
swe-atlas-refactoring	19.4	-0.0
livebench-math	19.4	+0.0
livebench-data	19.4	+0.0
omniscience	19.4	+0.0
vals-excel-modeling	19.4	-0.0
livecodebench	19.4	-0.0
enigma-eval	19.4	+0.0
swe-bench-pro	19.4	+0.0

What evidence is missing from the fit?

Across all collected settings for this model: 89 observations, 37 contributing, 0 matched without graph weight and 52 excluded. Counts do not establish rank eligibility.

2 · Benchmark family or source protocol has not been reviewed
4 · Effort is not identified
22 · No reviewed effort for this catalog observation; any separately collected effort measurement is counted separately
24 · Supporting evidence outside the reviewed capability core

Inspect every observation and exclusion →

Capability profile

One configuration, seven capabilities

Comparison score · 0–100

AQwen3.5-397B-A17B · Reasoning4 of 7 capabilities supported

Gaps are unknown, not zero. Hollow points are preliminary.

Agentic
A20.4Supported
Hard reasoning
A26.6Supported
Coding
A16.0Supported
Human pref
Unknown
Knowledge
A31.9Supported
Multimodal
A31.5Preliminary
Long context
A39.5Preliminary

Each profile belongs to the named configuration. Capability scores use a shared panel for all axes, distinct from the overall ranking panel; they are not accuracy percentages or direct head-to-head wins.

Compare this configuration →Explore the model evidence profile →

These are published benchmark scores. Supported effort estimates also appear on the Capability leaderboard. Results from different harnesses occupy different rows. Missing cells stay unknown; no scores are copied between effort levels.

Benchmark / source	Reasoning	Non-reasoning	Unspecified
AA-Briefcase EloArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details AA-Briefcase is an agentic knowledge work benchmark developed by Artificial Analysis. AA-Briefcase Elo is a combined metric that aggregates rubric pass rate, analytical quality Elo and presentation Elo · Higher is better · Evaluation results measured independently by Artificial Analysis Unit: elo. Source collected 2026-09-12.	562.65 Elo Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	Not reported	Not reported
APEX-Agents-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	15.34% Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	Not reported	Not reported
AA-LCR v1.1Artificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	77.33% Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	64.33% Reported settings Qwen3.5 397B A17B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b-non-reasoning	Not reported
AutomationBench-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Share of task objectives completed with no guardrail violations · Higher is better · Benchmark developed by Zapier · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	6.89% Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	Not reported	Not reported
CritPtArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Benchmark developed by Argonne and UIUC, with contributions from 60+ researchers globally · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	1.71% Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	0.86% Reported settings Qwen3.5 397B A17B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b-non-reasoning	Not reported
EnterpriseOps-Gym-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Overall task success rate across all eight enterprise domains (oracle tool mode) · Benchmark developed by ServiceNow Research · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	30.89% Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	Not reported	Not reported
GDP.pdf: All-passArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Share of attempts where every atomic criterion passed · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	12.2% Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	Not reported	Not reported
GDPval-AA v2 LeaderboardArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Elo rating for performance on real-world work tasks · Anchored to a human baseline of 1,000 · Higher is better · Evaluation results measured independently by Artificial Analysis Unit: elo. Source collected 2026-09-12.	905.4 Elo Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	Not reported	Not reported
Global-MMLU-LiteArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	90.04% Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	86.52% Reported settings Qwen3.5 397B A17B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b-non-reasoning	Not reported
GPQA DiamondArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	89.29% Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	86.06% Reported settings Qwen3.5 397B A17B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b-non-reasoning	Not reported
Harvey LAB-AA: Criterion Pass RateArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Share of atomic pass/fail rubric criteria the deliverables satisfy, graded by a single LLM judge · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	72.38% Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	Not reported	Not reported
Humanity's Last ExamArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	28.96% Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	19.83% Reported settings Qwen3.5 397B A17B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b-non-reasoning	Not reported
IFBenchArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	78.78% Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	51.63% Reported settings Qwen3.5 397B A17B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b-non-reasoning	Not reported
ITBench-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Combined public and private Site Reliability Engineering (SRE) tasks · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	34.09% Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	Not reported	Not reported
MMMU-ProArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	77.28% Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	52.66% Reported settings Qwen3.5 397B A17B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b-non-reasoning	Not reported
AA-Omniscience IndexArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details AA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. It rewards correct answers, penalizes hallucinations, and has no penalty for refusing to answer. Scores range from -100 to 100, where 0 means as many correct as incorrect answers, and negative scores mean more incorrect than correct. · Evaluation results measured independently by Artificial Analysis Unit: index. Source collected 2026-09-12.	-30.75 Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	-37.9 Reported settings Qwen3.5 397B A17B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b-non-reasoning	Not reported
AA-Omniscience AccuracyArtificial Analysis · 6000 questions; 1 attempt; correct-answer share; GPT-5.6 Luna medium grader Benchmark details AA-Omniscience Accuracy (higher is better) measures the proportion of correctly answered questions out of all questions, regardless of whether the model chooses to answer · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	30.8% Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	24.52% Reported settings Qwen3.5 397B A17B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b-non-reasoning	Not reported
SciCodeArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	44.79% Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	Not reported	Not reported
𝜏²-Bench TelecomArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	95.61% Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	83.92% Reported settings Qwen3.5 397B A17B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b-non-reasoning	Not reported
𝜏³-BankingArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Benchmark developed by Sierra Research · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	13.4% Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	Not reported	Not reported
Terminal-Bench HardArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	40.91% Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	35.61% Reported settings Qwen3.5 397B A17B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b-non-reasoning	Not reported
Terminal-Bench v2.1Artificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Benchmark developed by the Laude Institute and open-source contributors · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	51.31% Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	Not reported	Not reported
Terminal-Bench v4.0Artificial Analysis · mini-SWE-agent v2.4.6; 66 tasks; pass@1 averaged over 3 repeats; 500 steps; task timeout up to 8 hours Benchmark details Benchmark developed by the Laude Institute, Stanford, and open-source contributors · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	0% Reported settings Qwen3.5 397B A17B (Reasoning); Model source: https://artificialanalysis.ai/models/qwen3-5-397b-a17b	Not reported	Not reported
Epoch · Chess Puzzles · v1.1.6Epoch AI · Epoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match Benchmark details Epoch AI internal evaluation. Mean accuracy under the published setting; exact task version and scorer stay separate. Related tasks share a family budget. Data by Epoch AI, CC BY. Unit: percent. Source collected 2026-09-12.	Not reported	13% Reported settings Epoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match; model=qwen3.5-397b-a17b_none; run=VRLKwMA8hJnNRpp8M3WDCw; mean accuracy; https://epoch.ai/data/benchmarks.csv	12% Reported settings Epoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match; model=qwen3.5-397b-a17b; run=dagNWyu57ksu7gB7Q86eCx; mean accuracy; https://epoch.ai/data/benchmarks.csv
Epoch · FrontierMath Tiers 1–3 · v2.0.0Epoch AI · Epoch AI Inspect; task 2.0.0; scorer verification_code Benchmark details Epoch AI internal evaluation. Mean accuracy under the published setting; exact task version and scorer stay separate. Related tasks share a family budget. Data by Epoch AI, CC BY. FrontierMath was developed with OpenAI funding and unequal access to part of the question set; this result is from Epoch's evaluation. Unit: percent. Source collected 2026-09-12.	Not reported	31.23% Reported settings Epoch AI Inspect; task 2.0.0; scorer verification_code; model=qwen3.5-397b-a17b_none; run=A4yUA9PfzRr92JAqDDo9ro; mean accuracy; https://epoch.ai/data/benchmarks.csv	29.47% Reported settings Epoch AI Inspect; task 2.0.0; scorer verification_code; model=qwen3.5-397b-a17b; run=EzMaDdXs4YQTMLgppBGxAb; mean accuracy; https://epoch.ai/data/benchmarks.csv
Epoch · GPQA diamond · v1.0.11Epoch AI · Epoch AI Inspect; task 1.0.11; scorer choice Benchmark details Epoch AI internal evaluation. Mean accuracy under the published setting; exact task version and scorer stay separate. Related tasks share a family budget. Data by Epoch AI, CC BY. Unit: percent. Source collected 2026-09-12.	Not reported	86.36% Reported settings Epoch AI Inspect; task 1.0.11; scorer choice; model=qwen3.5-397b-a17b_none; run=bXrmQqzF9sXbuZfRrSc7NP; mean accuracy; https://epoch.ai/data/benchmarks.csv	85.86% Reported settings Epoch AI Inspect; task 1.0.11; scorer choice; model=qwen3.5-397b-a17b; run=gZMFRbVKnBmcnZU4YqqKMN; mean accuracy; https://epoch.ai/data/benchmarks.csv
Epoch · Mystery Game Puzzles · v1.0.4 · Tool submissionEpoch AI · Epoch AI Inspect; task 1.0.4; scorer agent_submitted_next_move_scorer Benchmark details Epoch AI internal evaluation. Mean accuracy under the published setting; exact task version and scorer stay separate. Related tasks share a family budget. Data by Epoch AI, CC BY. Unit: percent. Source collected 2026-09-12.	Not reported	18% Reported settings Epoch AI Inspect; task 1.0.4; scorer agent_submitted_next_move_scorer; model=qwen3.5-397b-a17b_none; run=D7WDyCr24AVdzr4eKAreJu; mean accuracy; https://epoch.ai/data/benchmarks.csv	Not reported
Epoch · OTIS Mock AIME 2024-2025 · v1.1.6Epoch AI · Epoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match Benchmark details Epoch AI internal evaluation. Mean accuracy under the published setting; exact task version and scorer stay separate. Related tasks share a family budget. Data by Epoch AI, CC BY. Unit: percent. Source collected 2026-09-12.	Not reported	82.22% Reported settings Epoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match; model=qwen3.5-397b-a17b_none; run=i2ZUgMREKiFAnE2M54w3Py; mean accuracy; https://epoch.ai/data/benchmarks.csv	88.89% Reported settings Epoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match; model=qwen3.5-397b-a17b; run=JYuFdyZZSiMvmSZNzMTywb; mean accuracy; https://epoch.ai/data/benchmarks.csv

What these comparisons mean

Each source reports its own effort labels. Matching labels do not establish equal compute budgets or identical fallback behavior. Open Reported settings to inspect the exact model name, agent and task coverage. Multiple results at one level remain visible rather than selecting the best. Source-reported None or Non-reasoning labels are not treated as evidence that an API supports those settings.

These measurements use their own dated source collection. The leaderboard fits identified configurations jointly; it contains no pooled model ratings. Explicit thinking budgets are separate configurations. Read the methodology.

Download all effort benchmark results · 7,424 results across 240 models · Collected 2026-09-12

Qwen3.5-397B-A17B effort benchmarks

Qwen3.5-397B-A17B

Capability score evidence

One configuration, seven capabilities

Agentic

Hard reasoning

Coding

Human pref

Knowledge

Multimodal

Long context