Epoch Capabilities Index(ECI)

A capability metric from Epoch AI combining many benchmarks (per model, with efforts combined).

Official sitehttps://epoch.ai/benchmarks

Category
Other
Unit
Score
Higher is better
Comparison groups
1total
Currently available model rankings · Ranked results: 8
All models (records): Groups: 1 · Entries: 42

Rankings

Values with different source types (official, third-party, paper) or measurement conditions cannot be compared, so rankings are separated by comparison group (the same source, or sources verified to use the same conditions).

Rankings include only models currently available in Claude Code / Codex, excluding legacy models.

third-party results (Epoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0))

RankModeleffortScoreSource cost (metric)measured/reported bysource
1Claude Fable 5.2not stated173.44—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Claude Fable 5.2, eci=173.44, eci_ci_low=169.93, eci_ci_high=177.49
2GPT-6 Astranot stated169—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=GPT-6 Astra, eci=169.0, eci_ci_low=166.08, eci_ci_high=172.26
3Claude Opus 5.5not stated168.54—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Claude Opus 5.5, eci=168.54, eci_ci_low=165.63, eci_ci_high=171.83
4GPT-6.1 Solnot stated168.48—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=GPT-6.1 Sol, eci=168.48, eci_ci_low=165.49, eci_ci_high=171.8
5GPT-6.1 Terranot stated167.67—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=GPT-6.1 Terra, eci=167.67, eci_ci_low=164.73, eci_ci_high=170.98
6Claude Sonnet 5.5not stated166.56—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Claude Sonnet 5.5, eci=166.56, eci_ci_low=163.76, eci_ci_high=169.58
7Claude Haiku 5.5not stated160.43—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Claude Haiku 5.5, eci=160.43, eci_ci_low=158.27, eci_ci_high=162.87
8GPT-6 Lunanot stated156.41—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=GPT-6 Luna, eci=156.41, eci_ci_low=154.45, eci_ci_high=158.5

All model rankings (records)

These rankings are recalculated by comparison group including legacy models and models unavailable in Claude Code / Codex. They differ from the rankings above because the set of models differs.

Show rankings including legacy and unavailable models (entries: 42)

third-party results (Epoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0))

RankModeleffortScoreSource cost (metric)measured/reported bysource
1Claude Fable 5.2not stated173.44—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Claude Fable 5.2, eci=173.44, eci_ci_low=169.93, eci_ci_high=177.49
2Gemini 4 Carbonnot stated169.76—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Gemini 4 Carbon, eci=169.76, eci_ci_low=166.48, eci_ci_high=173.5
3GPT-6 Astranot stated169—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=GPT-6 Astra, eci=169.0, eci_ci_low=166.08, eci_ci_high=172.26
4Claude Opus 5.5not stated168.54—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Claude Opus 5.5, eci=168.54, eci_ci_low=165.63, eci_ci_high=171.83
5GPT-6.1 Solnot stated168.48—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=GPT-6.1 Sol, eci=168.48, eci_ci_low=165.49, eci_ci_high=171.8
6GPT-6.1 Terranot stated167.67—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=GPT-6.1 Terra, eci=167.67, eci_ci_low=164.73, eci_ci_high=170.98
7Claude Sonnet 5.5not stated166.56—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Claude Sonnet 5.5, eci=166.56, eci_ci_low=163.76, eci_ci_high=169.58
8Gemini 4 Argonnot stated166.48—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Gemini 4 Argon, eci=166.48, eci_ci_low=163.77, eci_ci_high=169.46
9Claude Fable 5not stated164.13—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Claude Fable 5, eci=164.13, eci_ci_low=161.68, eci_ci_high=166.83Location epoch_capabilities_index/eci_scores.csv, data row 11 (file line 12), Model=Claude Fable 5
10GPT-6 Solnot stated163.75—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=GPT-6 Sol, eci=163.75, eci_ci_low=161.33, eci_ci_high=166.42Location epoch_capabilities_index/eci_scores.csv, data row 12 (file line 13), Model=GPT-6 Sol
11GPT-5.6 Solnot stated162.99—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=GPT-5.6 Sol, eci=162.99, eci_ci_low=160.68, eci_ci_high=165.49Location epoch_capabilities_index/eci_scores.csv, data row 13 (file line 14), Model=GPT-5.6 Sol
12Kimi K3.1 Pronot stated161.37—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Kimi K3.1 Pro, eci=161.37, eci_ci_low=158.99, eci_ci_high=164.0Location epoch_capabilities_index/eci_scores.csv, data row 16 (file line 17), Model=Kimi K3.1 Pro
13GPT-5.6 Terranot stated160.73—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=GPT-5.6 Terra, eci=160.73, eci_ci_low=158.47, eci_ci_high=163.25Location epoch_capabilities_index/eci_scores.csv, data row 17 (file line 18), Model=GPT-5.6 Terra
14Claude Haiku 5.5not stated160.43—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Claude Haiku 5.5, eci=160.43, eci_ci_low=158.27, eci_ci_high=162.87
15GPT-5.5not stated160.1—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=GPT-5.5, eci=160.1, eci_ci_low=158.12, eci_ci_high=162.36Location epoch_capabilities_index/eci_scores.csv, data row 20 (file line 21), Model=GPT-5.5
16Claude Opus 4.8not stated159.94—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Claude Opus 4.8, eci=159.94, eci_ci_low=157.86, eci_ci_high=162.2Location epoch_capabilities_index/eci_scores.csv, data row 21 (file line 22), Model=Claude Opus 4.8
17DeepSeek-V4.1-Flash-1017not stated159.41—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=DeepSeek V4.1 Flash 1017, eci=159.41, eci_ci_low=157.01, eci_ci_high=162.0Location epoch_capabilities_index/eci_scores.csv, data row 22 (file line 23), Model=DeepSeek V4.1 Flash 1017
18Gemini 3.8 Flashnot stated158.79—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Gemini 3.8 Flash, eci=158.79, eci_ci_low=156.77, eci_ci_high=160.94Location epoch_capabilities_index/eci_scores.csv, data row 23 (file line 24), Model=Gemini 3.8 Flash
19Kimi K3not stated158.58—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Kimi K3, eci=158.58, eci_ci_low=156.6, eci_ci_high=160.8Location epoch_capabilities_index/eci_scores.csv, data row 24 (file line 25), Model=Kimi K3
20Gemini 3.7 Flashnot stated158.36—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Gemini 3.7 Flash, eci=158.36, eci_ci_low=156.35, eci_ci_high=160.59Location epoch_capabilities_index/eci_scores.csv, data row 25 (file line 26), Model=Gemini 3.7 Flash
21Grok 4.6not stated157.79—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Grok 4.6, eci=157.79, eci_ci_low=155.77, eci_ci_high=159.95Location epoch_capabilities_index/eci_scores.csv, data row 28 (file line 29), Model=Grok 4.6
22Qwen3.8-Maxnot stated157.59—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Qwen 3.8 Max, eci=157.59, eci_ci_low=155.42, eci_ci_high=159.96Location epoch_capabilities_index/eci_scores.csv, data row 29 (file line 30), Model=Qwen 3.8 Max
23Claude Opus 4.7not stated157.44—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Claude Opus 4.7, eci=157.44, eci_ci_low=155.52, eci_ci_high=159.56Location epoch_capabilities_index/eci_scores.csv, data row 30 (file line 31), Model=Claude Opus 4.7
24GLM-5.3not stated157.1—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=GLM-5.3, eci=157.1, eci_ci_low=154.94, eci_ci_high=159.53Location epoch_capabilities_index/eci_scores.csv, data row 32 (file line 33), Model=GLM-5.3
25DeepSeek-V4.1-Flashnot stated156.7—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=DeepSeek V4.1 Flash, eci=156.7, eci_ci_low=154.79, eci_ci_high=158.78Location epoch_capabilities_index/eci_scores.csv, data row 34 (file line 35), Model=DeepSeek V4.1 Flash
26GPT-5.6 Lunanot stated156.67—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=GPT-5.6 Luna, eci=156.67, eci_ci_low=154.83, eci_ci_high=158.69Location epoch_capabilities_index/eci_scores.csv, data row 35 (file line 36), Model=GPT-5.6 Luna
27GPT-6 Lunanot stated156.41—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=GPT-6 Luna, eci=156.41, eci_ci_low=154.45, eci_ci_high=158.5
28Claude Opus 4.6not stated156.34—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Claude Opus 4.6, eci=156.34, eci_ci_low=154.55, eci_ci_high=158.31Location epoch_capabilities_index/eci_scores.csv, data row 37 (file line 38), Model=Claude Opus 4.6
29Gemini 3.1 Pro Previewnot stated156.18—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Gemini 3.1 Pro, eci=156.18, eci_ci_low=154.39, eci_ci_high=158.14Location epoch_capabilities_index/eci_scores.csv, data row 39 (file line 40), Model=Gemini 3.1 Pro
29Grok 4.7not stated156.18—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Grok 4.7, eci=156.18, eci_ci_low=154.23, eci_ci_high=158.27Location epoch_capabilities_index/eci_scores.csv, data row 38 (file line 39), Model=Grok 4.7
31DeepSeek-V4-Pro-0813not stated155.94—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=DeepSeek V4 Pro 0813, eci=155.94, eci_ci_low=154.06, eci_ci_high=158.01Location epoch_capabilities_index/eci_scores.csv, data row 41 (file line 42), Model=DeepSeek V4 Pro 0813
32Gemini 3.6 Flashnot stated155.21—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Gemini 3.6 Flash, eci=155.21, eci_ci_low=153.39, eci_ci_high=157.2Location epoch_capabilities_index/eci_scores.csv, data row 44 (file line 45), Model=Gemini 3.6 Flash
33GLM-5.3-Flashnot stated153.82—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=GLM-5.3-Flash, eci=153.82, eci_ci_low=152.0, eci_ci_high=155.78Location epoch_capabilities_index/eci_scores.csv, data row 52 (file line 53), Model=GLM-5.3-Flash
34Claude Sonnet 4.6not stated152.86—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Claude Sonnet 4.6, eci=152.86, eci_ci_low=151.17, eci_ci_high=154.65Location epoch_capabilities_index/eci_scores.csv, data row 56 (file line 57), Model=Claude Sonnet 4.6
35Mistral Large 4not stated152.69—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Mistral Large 4 Preview, eci=152.69, eci_ci_low=150.85, eci_ci_high=154.7Location epoch_capabilities_index/eci_scores.csv, data row 57 (file line 58), Model=Mistral Large 4 Preview
36Gemini 3 Flash Previewnot stated152.32—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Gemini 3 Flash, eci=152.32, eci_ci_low=150.75, eci_ci_high=154.03Location epoch_capabilities_index/eci_scores.csv, data row 59 (file line 60), Model=Gemini 3 Flash
37Claude Opus 4.5not stated151.92—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Claude Opus 4.5, eci=151.92, eci_ci_low=150.32, eci_ci_high=153.58Location epoch_capabilities_index/eci_scores.csv, data row 61 (file line 62), Model=Claude Opus 4.5
38Claude Sonnet 4.5not stated147.63—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Claude Sonnet 4.5, eci=147.63, eci_ci_low=146.17, eci_ci_high=149.15Location epoch_capabilities_index/eci_scores.csv, data row 80 (file line 81), Model=Claude Sonnet 4.5
39Gemini 3.5 Flash-Litenot stated145.63—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Gemini 3.5 Flash-Lite, eci=145.63, eci_ci_low=143.98, eci_ci_high=147.33Location epoch_capabilities_index/eci_scores.csv, data row 92 (file line 93), Model=Gemini 3.5 Flash-Lite
40Gemini 3.1 Flash-Litenot stated145.01—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Gemini 3.1 Flash-Lite, eci=145.01, eci_ci_low=142.75, eci_ci_high=147.21Location epoch_capabilities_index/eci_scores.csv, data row 95 (file line 96), Model=Gemini 3.1 Flash-Lite
41Gemini 2.5 Pronot stated144.87—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Gemini 2.5 Pro (Jun 2025), eci=144.87, eci_ci_low=143.39, eci_ci_high=146.33Location epoch_capabilities_index/eci_scores.csv, data row 96 (file line 97), Model=Gemini 2.5 Pro (Jun 2025)
42Gemini 2.5 Flashnot stated140.81—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)Retrieved 2026-11-12 · A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.
Source excerpteci_scores.csv: Model=Gemini 2.5 Flash (Jun 2025), eci=140.81, eci_ci_low=138.43, eci_ci_high=143.04Location epoch_capabilities_index/eci_scores.csv, data row 121 (file line 122), Model=Gemini 2.5 Flash (Jun 2025)