Finished benchmark shape.
Dossier / live reference cards
Every card is a fact.
Hourly source check is green.
AI Resource Hub
v2 / terminal# route boot: benchmarks / meta / qwen3.7 max
airh > since-last-visit
1h Recomputed benchmark-weighted quality scores
1h Synced Chatbot Arena benchmark track
1h Updated speed measurements
1h Validated official pricing snapshots
airh > open /benchmarks/meta/qwen3.7-max/
Alibaba
Qwen3.7 Max
AA reports Qwen3.7 Max at 56.6 with high verbosity during evaluation; pricing is $2.50 input / $7.50 output per 1M tokens.
confidence: medium
Pricing is visible, but verbosity and missing DSWE rows keep the operating evidence thin.
AA Index 56.6
Good current Qwen signal, but verbose output raises source-discipline and citation-risk questions.
Current signal
AA Index 56.6
Evidence completeness
62%
5 score dimensions represented.
DSWE
Not reported
Keep watch for a DeepSWE row.
Calculation
Score components
Correct, grounded answers on ordinary verifiable tasks.
Follows exact user constraints and output formats.
Avoids unsupported confidence and remains stable across runs.
Handles non-flashy reasoning without brittle failures.
Completes tool, coding, and agent-style tasks when evidence exists.
Cost, speed, token burn, verbosity, and friction.
Evidence
Sources used
- Artificial Analysis Intelligence Index
- Qwen3.7 release notes
- cost/token evidence
Caveat
What to watch
Top current Qwen row. Verbose output is a real operating cost risk for agentic sessions.
Meaning
How to read the score
Each score is a 0-100 saturation scale. A score of 100 means that benchmark lane is complete for this model. Floor Capability is the finished benchmark shape; Operating Envelope, Frontier Reality, and Research Trust are provisional tabs that need prompt-pack backfill. Confidence is evidence quality, not another model grade. Evidence % is source coverage, not capability.
Citations