UnifyBench

RankingEffort benchmarks

Qwen3.8-27B · Low effort benchmarks

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

Qwen3.8-27B

61 measured results · 4 reported effort labels · 18 benchmark/harness combinations. Model evidence and sources →

Capability score evidence

Qwen3.8-27B · Low: 16.7 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 evidenceRecomputed scoreChange
Artificial AnalysisComparison path lost—
ARC Prize19.2+2.5
Datacurve14.6-2.1
LiveCodeBench16.6-0.1
Scale18.0+1.3
Terminal-Bench16.7+0.0
Cognition17.3+0.6
LiveBench17.0+0.3
SWE-rebench17.1+0.4
Epoch AI16.9+0.2
Vals AI16.3-0.4
Provider reports · Anthropic16.7+0.0
Provider reports · Moonshot AI16.7-0.0
Provider reports · Meta16.7-0.0
Provider reports · Mistral16.7+0.0
All provider reports16.6-0.0
Every benchmark family
Removed evidenceRecomputed scoreChange
critpt20.4+3.7
omniscience19.2+2.5
arc-agi19.1+2.5
deepswe14.6-2.0
briefcase15.1-1.6
hle18.0+1.3
scicode17.8+1.2
tau-bench15.7-1.0
aa-lcr15.7-1.0
gdpval15.7-1.0
automationbench15.9-0.8
terminal-bench16.0-0.7
epoch-game-puzzles16.1-0.6
mmmu-pro17.3+0.6
frontiercode17.3+0.6
gpqa16.1-0.6
ifbench16.2-0.5
simpleqa17.2+0.5
swe-rebench17.1+0.4
livecodebench16.5-0.2
multi-swe-bench16.5-0.2
livebench-instructions16.9+0.2
apex-agents16.9+0.2
mmlu-pro16.8+0.2
livebench-language16.8+0.2
swe-atlas-qna16.6-0.1
aime16.6-0.1
frontiermath16.8+0.1
arc-agi-316.6-0.1
livebench-coding16.6-0.1
harvey16.6-0.1
analyst-agent16.8+0.1
vibe-code16.6-0.1
livebench-reasoning16.6-0.1
math50016.6-0.1
enterprise-ops16.8+0.1
vals-finance-agent16.6-0.1
vals-legal-research16.6-0.1
swe-atlas-test-writing16.6-0.1
gdp-pdf16.6-0.0
vals-code-migration16.6-0.0
livebench-data16.7+0.0
swe-atlas-refactoring16.7-0.0
livebench-math16.7+0.0
vals-excel-modeling16.7-0.0
itbench16.7+0.0
enigma-eval16.7+0.0
gmmlu16.7+0.0
swe-bench-pro16.7+0.0
What evidence is missing from the fit?

Across all collected settings for this model: 66 observations, 54 contributing, 0 matched without graph weight and 12 excluded. Counts do not establish rank eligibility.

  • 4 · Benchmark family or source protocol has not been reviewed
  • 3 · Evaluator has not been reviewed for independent admission
  • 2 · No reviewed effort for this catalog observation; any separately collected effort measurement is counted separately
  • 3 · Supporting evidence outside the reviewed capability core
Inspect every observation and exclusion →

Capability profile

One configuration, seven capabilities

Comparison score · 0–100
Qwen3.8-27B · Low capability radarComparison scores from 0 to 100. Unknown capabilities have no point; lines stop at gaps. Hollow points are preliminary. Exact values and support labels follow the chart.AgenticHard reasoningCodingHuman prefKnowledgeMultimodalLong context50100Qwen3.8-27B · Low · Agentic: 41.4 · SupportedQwen3.8-27B · Low · Hard reasoning: 9.3 · SupportedQwen3.8-27B · Low · Coding: 18.6 · SupportedQwen3.8-27B · Low · Knowledge: 5.6 · PreliminaryQwen3.8-27B · Low · Multimodal: 19.9 · PreliminaryQwen3.8-27B · Low · Long context: 39.7 · Preliminary

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

  • Agentic

    A41.4Supported

  • Hard reasoning

    A9.3Supported

  • Coding

    A18.6Supported

  • Human pref

    Unknown

  • Knowledge

    A5.6Preliminary

  • Multimodal

    A19.9Preliminary

  • Long context

    A39.7Preliminary

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 / sourceLowMediumXHighNon-reasoning
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.

1,277.44 Elo
Reported settings

Qwen3.8 27B (low); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-low

1,375.7 Elo
Reported settings

Qwen3.8 27B (medium); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-medium

1,397.82 Elo
Reported settings

Qwen3.8 27B (xhigh); Model source: https://artificialanalysis.ai/models/qwen3-8-27b

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

Qwen3.8 27B (low); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-low

79.67%
Reported settings

Qwen3.8 27B (medium); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-medium

82%
Reported settings

Qwen3.8 27B (xhigh); Model source: https://artificialanalysis.ai/models/qwen3-8-27b

69.33%
Reported settings

Qwen3.8 27B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-non-reasoning

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.

30.1%
Reported settings

Qwen3.8 27B (low); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-low

40.25%
Reported settings

Qwen3.8 27B (medium); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-medium

48.24%
Reported settings

Qwen3.8 27B (xhigh); Model source: https://artificialanalysis.ai/models/qwen3-8-27b

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.

0%
Reported settings

Qwen3.8 27B (low); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-low

0%
Reported settings

Qwen3.8 27B (medium); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-medium

5.43%
Reported settings

Qwen3.8 27B (xhigh); Model source: https://artificialanalysis.ai/models/qwen3-8-27b

0.29%
Reported settings

Qwen3.8 27B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-non-reasoning

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.

Not reportedNot reported
44.23%
Reported settings

Qwen3.8 27B (xhigh); Model source: https://artificialanalysis.ai/models/qwen3-8-27b

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.

10.4%
Reported settings

Qwen3.8 27B (low); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-low

12.8%
Reported settings

Qwen3.8 27B (medium); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-medium

16.4%
Reported settings

Qwen3.8 27B (xhigh); Model source: https://artificialanalysis.ai/models/qwen3-8-27b

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.

1,402.54 Elo
Reported settings

Qwen3.8 27B (low); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-low

1,430.39 Elo
Reported settings

Qwen3.8 27B (medium); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-medium

1,463.25 Elo
Reported settings

Qwen3.8 27B (xhigh); Model source: https://artificialanalysis.ai/models/qwen3-8-27b

1,136.81 Elo
Reported settings

Qwen3.8 27B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-non-reasoning

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.

84.55%
Reported settings

Qwen3.8 27B (low); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-low

84.55%
Reported settings

Qwen3.8 27B (medium); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-medium

90.51%
Reported settings

Qwen3.8 27B (xhigh); Model source: https://artificialanalysis.ai/models/qwen3-8-27b

81.82%
Reported settings

Qwen3.8 27B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-non-reasoning

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.

14.04%
Reported settings

Qwen3.8 27B (low); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-low

14.09%
Reported settings

Qwen3.8 27B (medium); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-medium

33.92%
Reported settings

Qwen3.8 27B (xhigh); Model source: https://artificialanalysis.ai/models/qwen3-8-27b

12.14%
Reported settings

Qwen3.8 27B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-non-reasoning

MLCR-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Share of tasks judged accurate, complete, and concise · Expert + compound (hard) sets · Benchmark developed by Wisedocs · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
21.67%
Reported settings

Qwen3.8 27B (xhigh); Model source: https://artificialanalysis.ai/models/qwen3-8-27b

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.

73.76%
Reported settings

Qwen3.8 27B (low); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-low

74.16%
Reported settings

Qwen3.8 27B (medium); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-medium

76.3%
Reported settings

Qwen3.8 27B (xhigh); Model source: https://artificialanalysis.ai/models/qwen3-8-27b

69.94%
Reported settings

Qwen3.8 27B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-non-reasoning

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.

-26.67
Reported settings

Qwen3.8 27B (low); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-low

-36.15
Reported settings

Qwen3.8 27B (medium); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-medium

-9.98
Reported settings

Qwen3.8 27B (xhigh); Model source: https://artificialanalysis.ai/models/qwen3-8-27b

-7.95
Reported settings

Qwen3.8 27B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-non-reasoning

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.

17.13%
Reported settings

Qwen3.8 27B (low); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-low

18.35%
Reported settings

Qwen3.8 27B (medium); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-medium

15.58%
Reported settings

Qwen3.8 27B (xhigh); Model source: https://artificialanalysis.ai/models/qwen3-8-27b

8.58%
Reported settings

Qwen3.8 27B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-non-reasoning

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.

40.05%
Reported settings

Qwen3.8 27B (low); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-low

39%
Reported settings

Qwen3.8 27B (medium); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-medium

46.64%
Reported settings

Qwen3.8 27B (xhigh); Model source: https://artificialanalysis.ai/models/qwen3-8-27b

36.23%
Reported settings

Qwen3.8 27B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-non-reasoning

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.

32.16%
Reported settings

Qwen3.8 27B (low); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-low

47.42%
Reported settings

Qwen3.8 27B (medium); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-medium

48.04%
Reported settings

Qwen3.8 27B (xhigh); Model source: https://artificialanalysis.ai/models/qwen3-8-27b

20%
Reported settings

Qwen3.8 27B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-non-reasoning

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.

67.42%
Reported settings

Qwen3.8 27B (low); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-low

65.17%
Reported settings

Qwen3.8 27B (medium); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-medium

79.78%
Reported settings

Qwen3.8 27B (xhigh); Model source: https://artificialanalysis.ai/models/qwen3-8-27b

49.06%
Reported settings

Qwen3.8 27B (Non-reasoning); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-non-reasoning

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.

2.53%
Reported settings

Qwen3.8 27B (low); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-low

5.05%
Reported settings

Qwen3.8 27B (medium); Model source: https://artificialanalysis.ai/models/qwen3-8-27b-medium

5.56%
Reported settings

Qwen3.8 27B (xhigh); Model source: https://artificialanalysis.ai/models/qwen3-8-27b

Not reported
VulcanBench v3 · Report 17VulcanBench · VulcanBench bare-bones API loop, deterministic hidden tests in Docker
Benchmark details

Frozen v3, 23 post-cutoff repository tasks. Published pass@1; repeat counts and time budgets vary by report. Display only pending comparability review.

Unit: percent. Source collected 2026-09-12.

82.6%
Reported settings

Qwen3.8-27B; source label: low; low effort; 23 tasks; evaluation 2026-08-21. See source for repeat counts and wall-clock budget.

82.6%
Reported settings

Qwen3.8-27B; source label: medium; medium effort; 23 tasks; evaluation 2026-08-21. See source for repeat counts and wall-clock budget.

73.9%
Reported settings

Qwen3.8-27B; source label: xhigh; xhigh effort; 23 tasks; evaluation 2026-08-21. See source for repeat counts and wall-clock budget.

Not reported
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