anthropic ·claude-sonnet-4-5Jul 6, 07:18 PM
Asset 88Lb01q
Score
0.9
Latency
6s
Cost
$0.0151
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·91c5674·@mux/ai v0.26.0
Cases
6
Avg Score
0.95
Avg Latency
5.89s
Avg Cost
$0.004
Avg Cost / Min
$0.0071/min
Avg Tokens
3,746
TL;DR
Ask Questions workflow shows very high quality and low cost across providers, with Google flash models leading on accuracy and efficiency, but results are based on only 6 cases.
Best Quality
google
gemini-2.5-flash
Fastest
google
gemini-3.1-flash-lite
Most Economical
google
gemini-3.1-flash-lite
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 score0.95
Suite duration35.32s
Last suite runJul 6, 07:17 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 91c5674Efficacy 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 | 0.9 | 6s | 4,449 | $0.0151 | $0.0263/min |
| gemini-2.5-flash | 1 | 1 | 4.18s | 2,981 | $0.0019 | $0.0033/min | |
| gemini-3-flash-preview | 1 | 0.97 | 4.5s | 3,700 | $0.0019 | $0.0034/min | |
| gemini-3.1-flash-lite | 1 | 0.97 | 2.52s | 3,492 | $0.0011 | $0.0019/min | |
| openai | gpt-5-mini | 1 | 0.88 | 10.1s | 4,842 | $0.0025 | $0.0043/min |
| openai | gpt-5.1 | 1 | 0.99 | 8.02s | 3,014 | $0.0019 | $0.0032/min |
Recent cases
Latest 6google ·gemini-2.5-flashJul 6, 07:18 PM
Asset 88Lb01q
Score
1
Latency
4.18s
Cost
$0.0019
google ·gemini-3-flash-previewJul 6, 07:18 PM
Asset 88Lb01q
Score
0.97
Latency
4.5s
Cost
$0.0019
google ·gemini-3.1-flash-liteJul 6, 07:18 PM
Asset 88Lb01q
Score
0.97
Latency
2.52s
Cost
$0.0011
openai ·gpt-5-miniJul 6, 07:18 PM
Asset 88Lb01q
Score
0.88
Latency
10.1s
Cost
$0.0025
openai ·gpt-5.1Jul 6, 07:18 PM
Asset 88Lb01q
Score
0.99
Latency
8.02s
Cost
$0.0019