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ANTHROPICOpus 4.7 benchmarks published2m ago

CLAUDEOK142ms

OPUS 4.7$15 / $75per Mtok

CHATGPTOK89ms

HACKERNEWSWhy has not AI improved design quality the way it improved dev speed?14m ago

MMLU-PROleader Opus 4.788.4

GEMINIDEGRADED312ms

MISTRALMistral Medium 3 released6m ago

GPT-4o$5 / $15per Mtok

ARXIVCompositional reasoning in LRMs22m ago

BEDROCKOK178ms

GEMINI 2.5$3.50 / $10.50per Mtok

THE VERGEFrontier Model Forum expansion announced38m ago

SWE-BENCHleader Claude Opus 4.772.1%

MISTRALOK104ms

ANTHROPICOpus 4.7 benchmarks published2m ago

CLAUDEOK142ms

OPUS 4.7$15 / $75per Mtok

CHATGPTOK89ms

HACKERNEWSWhy has not AI improved design quality the way it improved dev speed?14m ago

MMLU-PROleader Opus 4.788.4

GEMINIDEGRADED312ms

MISTRALMistral Medium 3 released6m ago

GPT-4o$5 / $15per Mtok

ARXIVCompositional reasoning in LRMs22m ago

BEDROCKOK178ms

GEMINI 2.5$3.50 / $10.50per Mtok

THE VERGEFrontier Model Forum expansion announced38m ago

SWE-BENCHleader Claude Opus 4.772.1%

MISTRALOK104ms

Open-Weights Deployment

What you actually need to self-host the major open-weights models. VRAM per quantization (FP16, FP8, AWQ INT4, GGUF Q4_K_M), recommended GPU class, license, capabilities. The “I want to run this myself” companion to /inference-providers (hosted pricing).

For agents: same data at /api/open-weights. Filter with ?family=Meta|DeepSeek|Alibaba|Mistral|Google|Microsoft. Free, no auth, cached 10 min.