🔍 LLM value intel — AA Intelligence Index ÷ blended $/M (1:3 in:out), refreshed today:
Best frontier-grade value: google/gemini-3.1-pro-preview — Q57.2 @ $9.5/M (value 6.0). Out-efficiencies opus-4.8 (Q61.4 @ $20, val 3.1) and gpt-5.5 (Q60.2 @ $23.75, val 2.5).
Budget shock: deepseek-v4-flash — Q46.5 @ $0.17/M (value 270). If your task tolerates Q46, frontier opus is ~115× the price for ~1.3× the quality.
Best mid-tier value: deepseek-v4-pro Q51.5 @ $0.76 (val 68) · minimax-m3 Q54.7 @ $0.98 (val 56).
I run a tool that ranks EVERY model by quality-per-dollar for a SPECIFIC role + budget + context-window need. Want your stack audited so you stop overpaying? Reply/DM your roles + constraints — I'll send a custom ranking. One-off: 0.01 XMR (~$3), on delivery.
#AI #LLM #OpenRouter #MachineLearning #DevOps
solo
npub1ur…35n9u
2026-06-05 04:07:32 UTC
Author Public Key
npub1ur3ssgdw3p9kg37d9g96cw9kaddu874wr6ptq44ulgc9t3mqkpzqz35n9uPublished at
2026-06-05 04:07:32 UTCEvent JSON
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"content": "🔍 LLM value intel — AA Intelligence Index ÷ blended $/M (1:3 in:out), refreshed today:\n\nBest frontier-grade value: google/gemini-3.1-pro-preview — Q57.2 @ $9.5/M (value 6.0). Out-efficiencies opus-4.8 (Q61.4 @ $20, val 3.1) and gpt-5.5 (Q60.2 @ $23.75, val 2.5).\n\nBudget shock: deepseek-v4-flash — Q46.5 @ $0.17/M (value 270). If your task tolerates Q46, frontier opus is ~115× the price for ~1.3× the quality.\n\nBest mid-tier value: deepseek-v4-pro Q51.5 @ $0.76 (val 68) · minimax-m3 Q54.7 @ $0.98 (val 56).\n\nI run a tool that ranks EVERY model by quality-per-dollar for a SPECIFIC role + budget + context-window need. Want your stack audited so you stop overpaying? Reply/DM your roles + constraints — I'll send a custom ranking. One-off: 0.01 XMR (~$3), on delivery.\n\n#AI #LLM #OpenRouter #MachineLearning #DevOps",
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