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Ophaelis Index Deep Analysis

Full ranking tables, lane-level evidence, and cost transparency details for deeper operational decisions.

Back to Free HomepageMethodology

Methodology and Trust Signals

  • Every model is evaluated on the same benchmark inputs for each lane.
  • Best Overall identifies the model with the strongest weighted tradeoff across quality, speed, cost efficiency, and reliability under the active ranking profile. It does not mean the model is the most capable in every scenario.
  • Overall Score is a composite ranking score calculated from quality, speed, cost efficiency, and reliability using the active weighting profile. It is designed to compare real-world tradeoffs, not measure raw intelligence.
  • Reliability measures repeated-run stability across evaluation scenarios. A model with lower variation and more consistent outcomes scores higher. It reflects stability under current evaluation conditions, not raw capability.
  • Based on 3 evaluation runs per benchmark item in live evaluator lanes.
  • Reliability favors repeated-run stability over one-off peaks.
  • Estimated Cost is calculated using normalized token-based pricing across providers. This allows fair comparison regardless of provider-specific billing differences.
  • Rankings reflect tradeoffs. A model that is more cost efficient or faster is not necessarily more capable.
  • Cost Efficiency reflects affordability, not capability. A lower-cost model may outperform a higher-cost model for some tasks, but not all.
  • Judgment-sensitive lanes are governed by explicit rubrics today, with reviewer-agreement reporting planned.
  • Trend confidence increases as evaluator run history accumulates over time.

Ranking Profile Weights

Changing the active profile changes which tradeoffs are rewarded and can change which model ranks first.

Balanced

General-purpose weighting for day-to-day decision making.

Quality 50% | Speed 20% | Cost Efficiency 15% | Reliability 15%

Quality First

Prioritizes model output quality above all else.

Quality 70% | Speed 10% | Cost Efficiency 10% | Reliability 10%

Speed First

Optimized for low latency and throughput-sensitive workloads.

Quality 35% | Speed 40% | Cost Efficiency 15% | Reliability 10%

Cost First

Favors lower operating cost while preserving baseline quality.

Quality 35% | Speed 15% | Cost Efficiency 40% | Reliability 10%

Reliability First

Weighted toward consistency and dependable outcomes.

Quality 40% | Speed 10% | Cost Efficiency 10% | Reliability 40%

LIVE MODEL INTELLIGENCE

Ophaelis Index

Continuously measures frontier AI models across real-world benchmark lanes and re-ranks them instantly by quality, speed, cost efficiency, and reliability.

Same benchmark inputs. Public weight profiles. Transparent ranking logic.

Model intelligence for operational decisions, not a static leaderboard.

Last Updated: Apr 2, 2026, 1:46 PMActive Benchmark Set: benchmark-run-20260402T134629ZActive Profile: Balanced

Current System Verdict (Balanced Profile)

GPT 5.4 Mini

OpenAI

90.54

Overall Score is a composite ranking score calculated from quality, speed, cost efficiency, and reliability using the active weighting profile.

GPT 5.4 Mini wins 7 decision areas with a typical 1.18-point margin over #2. It holds the strongest overall tradeoff across quality, speed, cost efficiency, and reliability.

Decision Areas Evaluated

10

Limited Coverage Areas

6

Last Run

4/2/2026, 1:46:29 PM

Methodology Snapshot

  • Same benchmark inputs across all models
  • Based on 3 evaluation runs per benchmark item.
  • Rankings reweight instantly by active profile
  • Overall Score is a composite ranking score calculated from quality, speed, cost efficiency, and reliability using the active weighting profile.
  • Reliability measures repeated-run stability across evaluation scenarios.
  • Active benchmark set: benchmark-run-20260402T134629Z
  • Rotation cadence: Weekly with controlled overlap

Latest Run

Coverage mode: Live Benchmark

Live Benchmark lanes: 4

Limited Coverage lanes: 6

Live benchmark items: 112

Run timestamp: 4/2/2026, 1:46:29 PM

View Rankings By

Changing the active profile changes which tradeoffs are rewarded and can change which model ranks first.

Active profile weighting: Quality 50% | Speed 20% | Cost Efficiency 15% | Reliability 15%

Top Models by Decision Priority

Each perspective reorders the same benchmark outputs

Best Overall under Balanced

Best Overall identifies the model with the strongest weighted tradeoff across quality, speed, cost efficiency, and reliability under the active ranking profile.

GPT 5.4 Mini

OpenAI

90.54

Overall Score is a composite ranking score calculated from quality, speed, cost efficiency, and reliability using the active weighting profile.

10 lanes scored

It does not mean the model is the most capable in every scenario.

Highest Output Quality

Optimized for accuracy and high-fidelity responses.

Gemini 3.1 Pro Preview

Google

93.00

Overall Score is a composite ranking score calculated from quality, speed, cost efficiency, and reliability using the active weighting profile.

6 lanes scored

Leads when output quality is prioritized above all else.

Fastest Response

Best fit for latency-sensitive user experiences.

Gemini 3 Flash

Google

90.95

Overall Score is a composite ranking score calculated from quality, speed, cost efficiency, and reliability using the active weighting profile.

6 lanes scored

Ranks first when turnaround speed is weighted highest.

Most Cost Efficient

Maximizes value under tight spend constraints.

Gemini 2.5 Flash Lite

Google

93.90

Overall Score is a composite ranking score calculated from quality, speed, cost efficiency, and reliability using the active weighting profile.

4 lanes scored

Delivers top rank when efficiency and unit economics dominate.

Most Consistent Performance

Prioritizes repeated-run stability across scenarios.

Gemini 2.5 Flash Lite

Google

93.99

Overall Score is a composite ranking score calculated from quality, speed, cost efficiency, and reliability using the active weighting profile.

4 lanes scored

Wins when lower variation and dependable outcomes matter most.

Performance by Decision Area

Live Benchmark areas appear first, with Limited Coverage grouped separately

Overall Score is a composite ranking score calculated from quality, speed, cost efficiency, and reliability using the active weighting profile.

Rankings reflect tradeoffs. A model that is more cost efficient or faster is not necessarily more capable.

Live Benchmark Lanes

Longform Summarization

#1 GPT 5.4 Nano

OpenAI

94.12

+0.31

Live Benchmark

Live evaluator aggregate from 2 benchmark item(s) in this lane.

Decision Area ID

longform_summarization

Benchmark Anchor

SUMM-001

Benchmark Items

28

Longform Summarization

SUMM-001 | Foundation decision area

Select a row to inspect model details

ModelProviderQualitySpeedCost EfficiencyReliabilityOverall ScoreChange
1GPT 5.4 Nano
OpenAI10071.1399.4610094.12Live run
2Gemini 2.5 Flash Lite
Google93.7581.5510010093.81Live run
3GPT 5.4 Mini
OpenAI10071.8896.9810093.77Live run
4Grok 4 1 Fast Reasoning
Other frontier10057.5698.1410091.14Live run
5Claude Haiku 4 5
Anthropic93.7569.7196.3410090.71Live run
6Mistral Medium
Other frontier93.7565.0798.0310090.12Live run
7Grok 4.20 0309 Reasoning
Other frontier10064.7585.0210089.95Live run
8Gemini 2.5 Flash
Google10050.7797.9810089.75Live run
9Mistral Small
Other frontier10047.8999.610089.50Live run
10GPT 5.4
OpenAI10052.118010086.42Live run
11Mistral Large Latest
Other frontier93.7544.0192.4210084.79Live run
12Gemini 2.5 Pro
Google10025.190.9810083.22Live run
13Claude Sonnet 4 6
Anthropic93.7540.1480.5410081.63Live run
14Claude Opus 4 6
Anthropic93.7542.19010065.94Live run

Structured Extraction

#1 Mistral Medium

Other frontier

95.03

+0.44

Live Benchmark

Live evaluator aggregate from 2 benchmark item(s) in this lane.

Classification & Routing

#1 Mistral Medium

Other frontier

77.74

+0.01

Live Benchmark

Live evaluator aggregate from 2 benchmark item(s) in this lane.

Coding & Refactoring

#1 GPT 5.4 Mini

OpenAI

94.09

+1.64

Live Benchmark

Live evaluator aggregate from 2 benchmark item(s) in this lane.

Prototype / Fallback Lanes

Constraint-Based Planning

#1 GPT-5.4 Mini

OpenAI

91.05

+1.05

Limited Coverage

GPT-5.4 Mini stays competitive in Constraint-Based Planning through constraint adherence depth and stable multi-run behavior.

Professional Response

#1 GPT-5.4 Mini

OpenAI

91.40

+1.25

Limited Coverage

GPT-5.4 Mini stays competitive in Professional Response through policy-safe communication quality and stable multi-run behavior.

Debugging & Root-Cause Analysis

#1 GPT-5.4 Mini

OpenAI

91.40

+1.05

Limited Coverage

GPT-5.4 Mini stays competitive in Debugging & Root-Cause Analysis through root-cause depth on noisy traces and stable multi-run behavior.

Multi-Step Tool Reasoning

#1 GPT-5.4 Mini

OpenAI

91.05

+1.10

Limited Coverage

GPT-5.4 Mini stays competitive in Multi-Step Tool Reasoning through tool-chain decision stability and stable multi-run behavior.

Policy / Governance Judgment

#1 GPT-5.4 Mini

OpenAI

90.85

+1.10

Limited Coverage

GPT-5.4 Mini stays competitive in Policy / Governance Judgment through judgment consistency under policy edge cases and stable multi-run behavior.

Executive Synthesis & Decision Memo

#1 GPT-5.4 Mini

OpenAI

91.40

+1.05

Limited Coverage

GPT-5.4 Mini stays competitive in Executive Synthesis & Decision Memo through high-stakes synthesis clarity and stable multi-run behavior.