anthropic ·claude-sonnet-4-5Aug 25, 12:50 PM
Asset 88Lb01q
Score
0.89
Latency
5.28s
Cost
$0.0154
Workflow Eval Detail
Ask Questions
Answers natural-language questions about a video by retrieving relevant context and answering with a concise response.
Latest Runcompleted
muxinc/ai
main·d35ae5a·@mux/ai v0.35.0
Cases
7
Avg Score
0.94
Avg Latency
6.04s
Avg Cost
$0.004
Avg Cost / Min
$0.007/min
Avg Tokens
3,915
TL;DR
The workflow performed strongly overall, with Google leading quality and latency while GPT-5.6 Luna minimized cost.
Best Quality
google
gemini-2.5-flash
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 score0.94
Suite duration42.28s
Last suite runAug 25, 12:49 PM
Evaluation criteria
From eval testsWe score answer accuracy and response integrity while tracking latency, token usage, and cost.
Question set3 checks
Question
Has on-screen text?
Answer: YesConf0.94
Question
Is the speaker visible?
Answer: NoConf0.88
Question
Scene indoors?
Answer: YesConf0.91
Accuracy
Match expected yes/no outputs.
Format
Required fields + response shape.
Integrity
Confidence and reasoning present.
Throughput
Latency and cost stay within targets.
Response validation
Efficacy checks
- Answers match expected yes/no outputs.
- Response includes required fields and answer structure.
- Confidence is 0-1 and reasoning strings are non-empty.
- Response preserves asset ID and storyboard URL.
Efficiency targets
- Latency: scores are normalized between 0 and 1. Under 8s earns 1.0; past 12s trends toward 0.
- Token usage: scores are normalized between 0 and 1. Under 2,900 tokens earns 1.0; higher usage reduces the score.
- Usage data must include total tokens for cost analysis.
Expense guardrails
- Estimated cost under $0.012 per request for full score.
Provider breakdown
Run d35ae5aEfficacy scoreHigher is better
LatencyLower is better
Token UsageLower is better
CostLower is better
| Provider | Model | Cases | Avg Score | Avg Latency | Avg Tokens | Avg Cost | Avg Cost / Min |
|---|---|---|---|---|---|---|---|
| anthropic | claude-sonnet-4-5 | 1 | 0.89 | 5.28s | 4,562 | $0.0154 | $0.0268/min |
| gemini-2.5-flash | 1 | 1 | 6.32s | 3,008 | $0.0017 | $0.003/min | |
| gemini-3-flash-preview | 1 | 0.95 | 5.81s | 3,972 | $0.0033 | $0.0058/min | |
| gemini-3.1-flash-lite | 1 | 0.97 | 3.09s | 3,598 | $0.0011 | $0.0019/min | |
| openai | gpt-5-mini | 1 | 0.85 | 12.52s | 4,764 | $0.0013 | $0.0022/min |
| openai | gpt-5.1 | 1 | 0.99 | 5.76s | 3,123 | $0.0052 | $0.0091/min |
| openai | gpt-5.6-luna | 1 | 0.94 | 3.48s | 4,377 | $0.0003 | $0.0005/min |
Recent cases
Latest run · 7 casesgoogle ·gemini-2.5-flashAug 25, 12:50 PM
Asset 88Lb01q
Score
1
Latency
6.32s
Cost
$0.0017
google ·gemini-3-flash-previewAug 25, 12:50 PM
Asset 88Lb01q
Score
0.95
Latency
5.81s
Cost
$0.0033
google ·gemini-3.1-flash-liteAug 25, 12:50 PM
Asset 88Lb01q
Score
0.97
Latency
3.09s
Cost
$0.0011
openai ·gpt-5-miniAug 25, 12:50 PM
Asset 88Lb01q
Score
0.85
Latency
12.52s
Cost
$0.0013
openai ·gpt-5.1Aug 25, 12:50 PM
Asset 88Lb01q
Score
0.99
Latency
5.76s
Cost
$0.0052
openai ·gpt-5.6-lunaAug 25, 12:50 PM
Asset 88Lb01q
Score
0.94
Latency
3.48s
Cost
$0.0003