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τ3-Banking
Customer-service style tasks where the model uses tools and follows policies over a conversation with a simulated user.
Your workloadRAG over docs · 12K in · 600 out · 50K requests/mo · 30% cached
- ModelScoreYour cost / mo
- 1Muse Glimmer 30B · Metabest value23.5%
“Best value”: no other model here reports a higher score at a lower cost for your workload. Scores are self-reported by each maker with different settings, so treat close calls as ties.
How each maker reported it
- Muse Glimmer 30B Benchmarks
Meta's own results. Muse Glimmer at high reasoning; Gemma4-31B and Qwen3.6-27B in thinking mode. GDPVal-AA v2 is an Elo-style score.
Only each model's own maker's number is shown; scores a maker reports for rival models are left out.