Workflow Eval Detail

Chapters

Automatically segments long-form video content into navigable chapters with timestamps and titles—enabling viewers to jump to key moments instantly.

Latest Runcompleted
muxinc/ai
maind35ae5a·@mux/ai v0.35.0
Cases
32
Avg Score
0.97
Avg Latency
7.11s
Avg Cost
$0.0049
Avg Cost / Min
$0.0006/min
Avg Tokens
4,248
TL;DR

Chapters performed strongly overall, with gpt-5.1 best for quality, gemini-3.1-flash-lite best for latency, and gpt-5.6-luna best for cost.

Best Quality
openai
gpt-5.1
Fastest
google
gemini-3.1-flash-lite
Most Economical
openai
gpt-5.6-luna

What we measure

Each eval run captures efficacy, efficiency, and expense. We use this data to compare providers and track regressions over time.

Efficacy
Quality + correctness
Efficiency
Latency + token usage
Expense
Cost per request

Workflow snapshot

Suite statussuccess
Suite average score0.96
Suite duration1 minute 56 seconds
Last suite runAug 25, 12:48 PM

Evaluation criteria

From eval tests

We evaluate chapter segmentation quality, timestamp accuracy, and title relevance alongside latency and cost metrics.

0:0020:00
Segmenting
AI Chapters6 segments
1
Introduction & Welcome
0:00
2
Setting Up Your Environment
2:22
3
Core Concepts Deep Dive
6:25
4
Building the First Feature
10:12
5
Testing & Debugging
14:51
6
Deployment & Next Steps
18:44
Language: en
Processing...
Temporal Segmentation
Efficacy checks
  • Chapter titles are non-empty and descriptive.
  • Start times are valid and monotonically increasing.
  • Chapter count is reasonable for video duration.
  • Language code matches expected ISO 639-1 format.
  • Semantic coherence between chapter titles and content.
Efficiency targets
  • Latency: scores are normalized between 0 and 1. Under 10s earns 1.0; past 25s trends toward 0.
  • Token usage: scores are normalized between 0 and 1. Under 5,000 tokens earns 1.0; higher usage reduces the score.
Expense guardrails
  • Estimated cost under $0.015 per request for full score.
  • Usage data must include total tokens for cost analysis.

Provider breakdown

Run d35ae5a
Efficacy scoreHigher is better
LatencyLower is better
Token UsageLower is better
CostLower is better
ProviderModelCasesAvg ScoreAvg LatencyAvg TokensAvg CostAvg Cost / Min
anthropicclaude-sonnet-4-550.994.31s3,831$0.013$0.0015/min
googlegemini-2.5-flash50.986.77s4,923$0.004$0.0004/min
googlegemini-3-flash-preview50.9610.01s5,395$0.0071$0.0011/min
googlegemini-3.1-flash-lite50.991.61s3,794$0.0012$0.0001/min
openaigpt-5-mini50.9318.05s4,502$0.0027$0.0003/min
openaigpt-5.140.992.8s3,362$0.0037$0.0006/min
openaigpt-5.6-luna30.984.17s3,418$0.0003$0.00/min

Recent cases

Latest run · 32 cases
anthropic ·claude-sonnet-4-5Aug 25, 12:50 PM
Asset 1XIUcA9
Score
0.97
Latency
4.47s
Cost
$0.013
anthropic ·claude-sonnet-4-5Aug 25, 12:50 PM
Asset 1XIUcA9
Score
0.97
Latency
2.83s
Cost
$0.012
anthropic ·claude-sonnet-4-5Aug 25, 12:50 PM
Asset 1XIUcA9
Score
1
Latency
4.61s
Cost
$0.0134
anthropic ·claude-sonnet-4-5Aug 25, 12:50 PM
Asset 1XIUcA9
Score
1
Latency
4.87s
Cost
$0.013
anthropic ·claude-sonnet-4-5Aug 25, 12:50 PM
Asset 1XIUcA9
Score
1
Latency
4.77s
Cost
$0.0138
google ·gemini-2.5-flashAug 25, 12:50 PM
Asset 1XIUcA9
Score
0.97
Latency
5.26s
Cost
$0.0035
google ·gemini-2.5-flashAug 25, 12:50 PM
Asset 1XIUcA9
Score
0.96
Latency
6.73s
Cost
$0.0041
google ·gemini-2.5-flashAug 25, 12:50 PM
Asset 1XIUcA9
Score
0.97
Latency
9.44s
Cost
$0.0052
google ·gemini-2.5-flashAug 25, 12:50 PM
Asset 1XIUcA9
Score
1
Latency
6.45s
Cost
$0.0042
google ·gemini-2.5-flashAug 25, 12:50 PM
Asset 1XIUcA9
Score
1
Latency
5.98s
Cost
$0.0033
google ·gemini-3-flash-previewAug 25, 12:50 PM
Asset 1XIUcA9
Score
0.86
Latency
21.36s
Cost
$0.015
google ·gemini-3-flash-previewAug 25, 12:50 PM
Asset 1XIUcA9
Score
0.97
Latency
5.83s
Cost
$0.0039
google ·gemini-3-flash-previewAug 25, 12:50 PM
Asset 1XIUcA9
Score
1
Latency
5.9s
Cost
$0.0053
google ·gemini-3-flash-previewAug 25, 12:50 PM
Asset 1XIUcA9
Score
0.98
Latency
10.27s
Cost
$0.0056
google ·gemini-3-flash-previewAug 25, 12:50 PM
Asset 1XIUcA9
Score
1
Latency
6.71s
Cost
$0.0059
google ·gemini-3.1-flash-liteAug 25, 12:50 PM
Asset 1XIUcA9
Score
0.97
Latency
1.47s
Cost
$0.0012
google ·gemini-3.1-flash-liteAug 25, 12:50 PM
Asset 1XIUcA9
Score
0.97
Latency
1.52s
Cost
$0.001
google ·gemini-3.1-flash-liteAug 25, 12:50 PM
Asset 1XIUcA9
Score
1
Latency
1.6s
Cost
$0.0012
google ·gemini-3.1-flash-liteAug 25, 12:50 PM
Asset 1XIUcA9
Score
1
Latency
1.66s
Cost
$0.0012
google ·gemini-3.1-flash-liteAug 25, 12:50 PM
Asset 1XIUcA9
Score
1
Latency
1.81s
Cost
$0.0012
openai ·gpt-5-miniAug 25, 12:50 PM
Asset 1XIUcA9
Score
0.92
Latency
19.35s
Cost
$0.0028
openai ·gpt-5-miniAug 25, 12:50 PM
Asset 1XIUcA9
Score
0.95
Latency
13.79s
Cost
$0.0021
openai ·gpt-5-miniAug 25, 12:50 PM
Asset 1XIUcA9
Score
0.91
Latency
22.01s
Cost
$0.0033
openai ·gpt-5-miniAug 25, 12:50 PM
Asset 1XIUcA9
Score
0.92
Latency
19.67s
Cost
$0.0029
openai ·gpt-5-miniAug 25, 12:50 PM
Asset 1XIUcA9
Score
0.95
Latency
15.45s
Cost
$0.0023
openai ·gpt-5.1Aug 25, 12:50 PM
Asset 1XIUcA9
Score
0.98
Latency
3.32s
Cost
$0.0054
openai ·gpt-5.1Aug 25, 12:50 PM
Asset 1XIUcA9
Score
0.97
Latency
2.2s
Cost
$0.0047
openai ·gpt-5.1Aug 25, 12:50 PM
Asset 1XIUcA9
Score
1
Latency
2.69s
Cost
$0.0022
openai ·gpt-5.1Aug 25, 12:50 PM
Asset 1XIUcA9
Score
1
Latency
2.98s
Cost
$0.0024
openai ·gpt-5.6-lunaAug 25, 12:50 PM
Asset 1XIUcA9
Score
0.96
Latency
3.64s
Cost
$0.0003
openai ·gpt-5.6-lunaAug 25, 12:50 PM
Asset 1XIUcA9
Score
0.97
Latency
4.82s
Cost
$0.0002
openai ·gpt-5.6-lunaAug 25, 12:50 PM
Asset 1XIUcA9
Score
1
Latency
4.06s
Cost
$0.0003