Workflow Eval Detail

Summarization

Generates concise summaries and smart tags from your content—perfect for search, discovery, and quick recaps.

Latest Runcompleted
muxinc/ai
maind8d0122·@mux/ai v0.53.0
Cases
27
Avg Score
0.99
Avg Latency
4.83s
Avg Cost
$0.0037
Avg Cost / Min
$0.0066/min
Avg Tokens
3,433
TL;DR

Quality was high overall; choose claude-sonnet-4-5 for the highest score, gemini-3.1-flash-lite for lowest latency, or gpt-5.6-luna for lowest cost.

Best Quality
anthropic
claude-sonnet-4-5
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 duration40.51s
Last suite runOct 16, 09:36 PM

Evaluation criteria

From eval tests

We score summary quality, tag relevance, and semantic similarity while tracking latency, token usage, and cost.

...and so when we look at the numbers...
...the growth trajectory has been...
...our teams have worked incredibly hard...
...which brings me to the next point...
Analyzing
↓
AI Summary8:00 duration
6 tags extracted
●Complete
Semantic Extraction
Efficacy checks
  • Title is non-empty, <=100 chars, and avoids filler starters.
  • Description is non-empty, <=1000 chars, and avoids meta phrases.
  • Tags are non-empty strings, unique, and <=10 items.
  • Title, description, and tags are semantically similar to references.
  • Response includes asset ID and HTTPS storyboard URL.
Efficiency targets
  • Latency: scores are normalized between 0 and 1. Under 8s earns 1.0; past 20s trends toward 0.
  • Token usage: scores are normalized between 0 and 1. Under 4,000 tokens earns 1.0; higher usage reduces the score.
  • Usage data must include input and output tokens > 0.
Expense guardrails
  • Estimated cost under $0.015 per request for full score.

Provider breakdown

Run d8d0122
Efficacy scoreHigher is better
LatencyLower is better
Token UsageLower is better
CostLower is better
ProviderModelCasesAvg ScoreAvg LatencyAvg TokensAvg CostAvg Cost / Min
anthropicclaude-sonnet-4-540.995.66s3,850$0.0132$0.0229/min
googlegemini-2.5-flash40.996.75s3,041$0.0029$0.0055/min
googlegemini-3-flash-preview40.995.36s3,471$0.0033$0.0053/min
googlegemini-3.1-flash-lite40.992.32s2,981$0.0009$0.0016/min
openaigpt-5-mini40.976.94s4,457$0.0018$0.0034/min
openaigpt-5.140.992.64s2,514$0.0026$0.0074/min
openaigpt-5.6-luna30.993.96s3,812$0.0003$0.0004/min

Recent cases

Latest run · 27 cases
anthropic ·claude-sonnet-4-5Oct 16, 09:38 PM
Asset 88Lb01q
Score
0.98
Latency
6.58s
Cost
$0.0131
anthropic ·claude-sonnet-4-5Oct 16, 09:38 PM
Asset 88Lb01q
Score
1
Latency
5.16s
Cost
$0.0129
anthropic ·claude-sonnet-4-5Oct 16, 09:38 PM
Asset 88Lb01q
Score
1
Latency
5.28s
Cost
$0.0131
anthropic ·claude-sonnet-4-5Oct 16, 09:38 PM
Asset 88Lb01q
Score
1
Latency
5.61s
Cost
$0.0136
google ·gemini-2.5-flashOct 16, 09:38 PM
Asset 88Lb01q
Score
0.95
Latency
6.66s
Cost
$0.0032
google ·gemini-2.5-flashOct 16, 09:38 PM
Asset 88Lb01q
Score
1
Latency
5.98s
Cost
$0.0026
google ·gemini-2.5-flashOct 16, 09:38 PM
Asset 88Lb01q
Score
1
Latency
8.26s
Cost
$0.0035
google ·gemini-2.5-flashOct 16, 09:38 PM
Asset 88Lb01q
Score
1
Latency
6.11s
Cost
$0.0025
google ·gemini-3-flash-previewOct 16, 09:38 PM
Asset 88Lb01q
Score
0.97
Latency
5.4s
Cost
$0.0031
google ·gemini-3-flash-previewOct 16, 09:38 PM
Asset 88Lb01q
Score
1
Latency
7.54s
Cost
$0.0046
google ·gemini-3-flash-previewOct 16, 09:38 PM
Asset 88Lb01q
Score
1
Latency
3.78s
Cost
$0.0024
google ·gemini-3-flash-previewOct 16, 09:38 PM
Asset 88Lb01q
Score
1
Latency
4.7s
Cost
$0.003
google ·gemini-3.1-flash-liteOct 16, 09:38 PM
Asset 88Lb01q
Score
0.96
Latency
2.36s
Cost
$0.0009
google ·gemini-3.1-flash-liteOct 16, 09:38 PM
Asset 88Lb01q
Score
1
Latency
2.3s
Cost
$0.0009
google ·gemini-3.1-flash-liteOct 16, 09:38 PM
Asset 88Lb01q
Score
1
Latency
2.34s
Cost
$0.0009
google ·gemini-3.1-flash-liteOct 16, 09:38 PM
Asset 88Lb01q
Score
1
Latency
2.27s
Cost
$0.0009
openai ·gpt-5-miniOct 16, 09:38 PM
Asset 88Lb01q
Score
0.94
Latency
8.7s
Cost
$0.002
openai ·gpt-5-miniOct 16, 09:38 PM
Asset 88Lb01q
Score
0.98
Latency
7.34s
Cost
$0.0019
openai ·gpt-5-miniOct 16, 09:38 PM
Asset 88Lb01q
Score
0.99
Latency
5.54s
Cost
$0.0016
openai ·gpt-5-miniOct 16, 09:38 PM
Asset 88Lb01q
Score
0.98
Latency
6.18s
Cost
$0.0018
openai ·gpt-5.1Oct 16, 09:38 PM
Asset 88Lb01q
Score
0.96
Latency
3.19s
Cost
$0.0042
openai ·gpt-5.1Oct 16, 09:38 PM
Asset 88Lb01q
Score
1
Latency
2.72s
Cost
$0.0017
openai ·gpt-5.1Oct 16, 09:38 PM
Asset 88Lb01q
Score
1
Latency
2.34s
Cost
$0.0017
openai ·gpt-5.1Oct 16, 09:38 PM
Asset 88Lb01q
Score
1
Latency
2.31s
Cost
$0.0027
openai ·gpt-5.6-lunaOct 16, 09:38 PM
Asset 88Lb01q
Score
0.97
Latency
5.21s
Cost
$0.0003
openai ·gpt-5.6-lunaOct 16, 09:38 PM
Asset 88Lb01q
Score
1
Latency
3.3s
Cost
$0.0003
openai ·gpt-5.6-lunaOct 16, 09:38 PM
Asset 88Lb01q
Score
1
Latency
3.36s
Cost
$0.0003