Claude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MPaLM 2 Bison$0.500/MPaLM 2 Unicorn$5.000/MGemma 3 27B$0.270/MGrok 3$6.600/MGrok 2$4.400/MGrok 1.5$8.000/MDeepSeek-V3$0.519/MDeepSeek-V3-0324$0.519/MDeepSeek-R1$1.042/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MPaLM 2 Bison$0.500/MPaLM 2 Unicorn$5.000/MGemma 3 27B$0.270/MGrok 3$6.600/MGrok 2$4.400/MGrok 1.5$8.000/MDeepSeek-V3$0.519/MDeepSeek-V3-0324$0.519/MDeepSeek-R1$1.042/M
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Anyscale

Anyscale

Ray-native managed inference and training. Strongest fit when distributed Python workloads sit alongside model serving.

Founded 2019HQ San Francisco, USAWebsite ↗Official pricing ↗API docs ↗
MODELS TRACKED
4
1 category
FLAGSHIP
Llama 3.1 70B (Anyscale)
efficient
MIN INPUT
$0.150/M
cheapest model in family
AVG BLENDED
$0.662/M
across 4 priced models
MAX CONTEXT
128K
largest window in family
Efficient
4 models
Llama 3.1 70B (Anyscale)profile
efficient · 128K ctx
in $1.000/Mout $1.000/M
Ray-based inference
Mistral 7B (Anyscale)profile
efficient · 32K ctx
in $0.150/Mout $0.150/M
Anyscale serverless
CodeLlama 70B (Anyscale)profile
efficient · 16K ctx
in $1.000/Mout $1.000/M
Code-tuned Llama
Mixtral 8x7B (Anyscale)profile
efficient · 32K ctx
in $0.500/Mout $0.500/M
MoE on Anyscale