RankingEffort benchmarks
GPT-3.5-turbo effort benchmarks
Compare measured Low, Medium, High and other settings. Every number keeps its source.
GPT-3.5-turbo
3 measured results · 1 reported effort labels · 3 benchmark/harness combinations. Model evidence and sources →
Capability score evidence
GPT-3.5-turbo · Non-reasoning: 0.3 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 | 0.4 | +0.1 |
| Datacurve | 0.3 | -0.0 |
| LiveCodeBench | 0.3 | -0.0 |
| Scale | 0.4 | +0.0 |
| Terminal-Bench | 0.3 | -0.0 |
| Cognition | 0.3 | +0.0 |
| LiveBench | 0.3 | +0.0 |
| SWE-rebench | 0.3 | +0.0 |
| Epoch AI | 0.3 | -0.0 |
| Vals AI | 0.3 | -0.0 |
| Provider reports · Anthropic | 0.3 | +0.0 |
| Provider reports · Moonshot AI | 0.3 | -0.0 |
| Provider reports · Meta | 0.3 | -0.0 |
| Provider reports · Mistral | 0.3 | +0.0 |
| All provider reports | 0.3 | -0.0 |
Every benchmark family
| Removed evidence | Recomputed score | Change |
|---|---|---|
| math500 | 0.4 | +0.1 |
| arc-agi | 0.4 | +0.1 |
| gpqa | 0.2 | -0.1 |
| deepswe | 0.3 | -0.0 |
| mmmu-pro | 0.3 | +0.0 |
| omniscience | 0.3 | -0.0 |
| epoch-game-puzzles | 0.3 | -0.0 |
| frontiercode | 0.3 | +0.0 |
| mmlu-pro | 0.3 | -0.0 |
| critpt | 0.3 | -0.0 |
| simpleqa | 0.3 | +0.0 |
| swe-rebench | 0.3 | +0.0 |
| hle | 0.3 | +0.0 |
| scicode | 0.3 | +0.0 |
| ifbench | 0.3 | -0.0 |
| terminal-bench | 0.3 | +0.0 |
| tau-bench | 0.3 | -0.0 |
| gmmlu | 0.3 | +0.0 |
| multi-swe-bench | 0.3 | -0.0 |
| livebench-instructions | 0.3 | +0.0 |
| gdp-pdf | 0.3 | +0.0 |
| apex-agents | 0.3 | +0.0 |
| livebench-language | 0.3 | +0.0 |
| frontiermath | 0.3 | +0.0 |
| aime | 0.3 | -0.0 |
| harvey | 0.3 | -0.0 |
| swe-atlas-qna | 0.3 | -0.0 |
| livebench-coding | 0.3 | -0.0 |
| livecodebench | 0.3 | -0.0 |
| gdpval | 0.3 | +0.0 |
| vibe-code | 0.3 | -0.0 |
| livebench-reasoning | 0.3 | -0.0 |
| arc-agi-3 | 0.3 | -0.0 |
| aa-lcr | 0.3 | -0.0 |
| vals-finance-agent | 0.3 | -0.0 |
| analyst-agent | 0.3 | +0.0 |
| vals-legal-research | 0.3 | -0.0 |
| enterprise-ops | 0.3 | +0.0 |
| vals-code-migration | 0.3 | -0.0 |
| swe-atlas-test-writing | 0.3 | -0.0 |
| automationbench | 0.3 | +0.0 |
| briefcase | 0.3 | +0.0 |
| livebench-data | 0.3 | +0.0 |
| vals-excel-modeling | 0.3 | -0.0 |
| livebench-math | 0.3 | +0.0 |
| swe-atlas-refactoring | 0.3 | -0.0 |
| enigma-eval | 0.3 | +0.0 |
| swe-bench-pro | 0.3 | +0.0 |
| itbench | 0.3 | +0.0 |
What evidence is missing from the fit?
Across all collected settings for this model: 3 observations, 3 contributing, 0 matched without graph weight and 0 excluded. Counts do not establish rank eligibility.
Capability profile
One configuration, seven capabilities
- AGPT-3.5-turbo · Non-reasoning1 of 7 capabilities supported
Gaps are unknown, not zero. Hollow points are preliminary.
Agentic
UnknownHard reasoning
A0.4SupportedCoding
UnknownHuman pref
UnknownKnowledge
A0.4PreliminaryMultimodal
UnknownLong context
Unknown
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 →
| Benchmark / source | Non-reasoning |
|---|---|
GPQA DiamondBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | 29.7% Reported settingsGPT-3.5 Turbo; Reported effort: non-reasoning; Model source: https://artificialanalysis.ai/models/gpt-35-turbo; Mode from evaluator isReasoning metadata; effort budget not specified |
MATH-500Benchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | 44.07% Reported settingsGPT-3.5 Turbo; Reported effort: non-reasoning; Model source: https://artificialanalysis.ai/models/gpt-35-turbo; Mode from evaluator isReasoning metadata; effort budget not specified |
MMLU-ProBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | 46.19% Reported settingsGPT-3.5 Turbo; Reported effort: non-reasoning; Model source: https://artificialanalysis.ai/models/gpt-35-turbo; Mode from evaluator isReasoning metadata; effort budget not specified |
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