Pricing / Together AI

Together AI API pricing

105 model entries. Together AI entries in the bundled pricing snapshot. Source rate fields are shown as encoded in the snapshot dated 2026-03-25; model modality is not encoded.

Lowest encoded input rate

$0.05/1M

gpt-oss-20b

Highest encoded input rate

$3.5/1M

Meta-Llama-3.1-405B-Instruct-Turbo

Models with cache pricing

0 of 105

Interpret the /1M columns as token rates only for models independently verified as token-billed. Non-text billing units are not represented in this snapshot schema.

ModelInput $/1MOutput $/1MCache $/1M
gpt-oss-20b$0.05$0.2-
Qwen/Qwen1.5-0.5B$0.1$0.1-
Qwen/Qwen1.5-1.8B$0.1$0.1-
Qwen/Qwen1.5-4B$0.1$0.1-
google/gemma-2b$0.1$0.1-
meta-llama/Meta-Llama-3-8B-Instruct-Lite$0.1$0.1-
microsoft/phi-2$0.1$0.1-
togethercomputer/RedPajama-INCITE-Base-3B-v1$0.1$0.1-
togethercomputer/RedPajama-INCITE-Chat-3B-v1$0.1$0.1-
togethercomputer/RedPajama-INCITE-Instruct-3B-v1$0.1$0.1-
together-ai-up-to-4b$0.1$0.1-
gpt-oss-120b$0.15$0.6-
Qwen3-Next-80B-A3B-Instruct$0.15$1.5-
Qwen3-Next-80B-A3B-Thinking$0.15$1.5-
meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo$0.18$0.18-
meta-llama/Llama-4-Scout-17B-16E-Instruct$0.18$0.59-
meta-llama/Meta-Llama-3-8B-Instruct-Turbo$0.18$0.18-
Llama-4-Scout-17B-16E-Instruct$0.18$0.59-
Meta-Llama-3.1-8B-Instruct-Turbo$0.18$0.18-
NousResearch/Nous-Capybara-7B-V1p9$0.2$0.2-
NousResearch/Nous-Hermes-llama-2-7b$0.2$0.2-
Open-Orca/Mistral-7B-OpenOrca$0.2$0.2-
Qwen/Qwen1.5-7B$0.2$0.2-
Undi95/Toppy-M-7B$0.2$0.2-
allenai/OLMo-7B$0.2$0.2-
codellama/CodeLlama-7b-Instruct-hf$0.2$0.2-
google/gemma-7b$0.2$0.2-
lmsys/vicuna-7b-v1.5$0.2$0.2-
meta-llama/Llama-2-7b-chat-hf$0.2$0.2-
meta-llama/Llama-3-8b-chat-hf$0.2$0.2-
mistralai/Mistral-7B-Instruct-v0.1$0.2$0.2-
mistralai/Mistral-7B-Instruct-v0.2$0.2$0.2-
mistralai/Mistral-7B-v0.1$0.2$0.2-
openchat/openchat-3.5-1210$0.2$0.2-
snorkelai/Snorkel-Mistral-PairRM-DPO$0.2$0.2-
teknium/OpenHermes-2-Mistral-7B$0.2$0.2-
teknium/OpenHermes-2p5-Mistral-7B$0.2$0.2-
togethercomputer/GPT-JT-Moderation-6B$0.2$0.2-
togethercomputer/Llama-2-7B-32K-Instruct$0.2$0.2-
togethercomputer/RedPajama-INCITE-7B-Base$0.2$0.2-
togethercomputer/RedPajama-INCITE-7B-Chat$0.2$0.2-
togethercomputer/RedPajama-INCITE-7B-Instruct$0.2$0.2-
togethercomputer/StripedHyena-Hessian-7B$0.2$0.2-
togethercomputer/StripedHyena-Nous-7B$0.2$0.2-
togethercomputer/alpaca-7b$0.2$0.2-
zero-one-ai/Yi-6B$0.2$0.2-
together-ai-4.1b-8b$0.2$0.2-
Qwen3-235B-A22B-Instruct-2507-tput$0.2$6-
Qwen3-235B-A22B-fp8-tput$0.2$0.6-
GLM-4.5-Air-FP8$0.2$1.1-
NousResearch/Nous-Hermes-Llama2-13b$0.225$0.225-
codellama/CodeLlama-13b-Instruct-hf$0.225$0.225-
meta-llama/Llama-2-13b-chat-hf$0.225$0.225-
meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8$0.27$0.85-
Llama-4-Maverick-17B-128E-Instruct-FP8$0.27$0.85-
Austism/chronos-hermes-13b$0.3$0.3-
Gryphe/MythoMax-L2-13b$0.3$0.3-
Nexusflow/NexusRaven-V2-13B$0.3$0.3-
Qwen/Qwen1.5-14B$0.3$0.3-
Undi95/ReMM-SLERP-L2-13B$0.3$0.3-
WizardLM/WizardLM-13B-V1.2$0.3$0.3-
lmsys/vicuna-13b-v1.5$0.3$0.3-
upstage/SOLAR-10.7B-Instruct-v1.0$0.3$0.3-
together-ai-8.1b-21b$0.3$0.3-
GLM-4.7$0.45$2-
Kimi-K2.5$0.5$2.8-
meta-llama/Meta-Llama-3-70B-Instruct-Lite$0.54$0.54-
DeepSeek-R1-0528-tput$0.55$2.19-
DeepSeek-V3.1$0.6$1.7-
Mixtral-8x7B-Instruct-v0.1$0.6$0.6-
GLM-4.6$0.6$2.2-
Qwen3.5-397B-A17B$0.6$3.6-
Qwen3-235B-A22B-Thinking-2507$0.65$3-
codellama/CodeLlama-34b-Instruct-hf$0.776$0.776-
NousResearch/Nous-Hermes-2-Yi-34B$0.8$0.8-
deepseek-ai/deepseek-coder-33b-instruct$0.8$0.8-
zero-one-ai/Yi-34B$0.8$0.8-
together-ai-21.1b-41b$0.8$0.8-
meta-llama/Meta-Llama-3.3-70B-Instruct-Turbo$0.88$0.88-
meta-llama/Llama-3.3-70B-Instruct-Turbo$0.88$0.88-
meta-llama/Meta-Llama-3-70B-Instruct-Turbo$0.88$0.88-
meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo$0.88$0.88-
Llama-3.3-70B-Instruct-Turbo$0.88$0.88-
Meta-Llama-3.1-70B-Instruct-Turbo$0.88$0.88-
mistralai/Mixtral-8x7B-Instruct-v0.1$0.9$0.9-
NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO$0.9$0.9-
NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT$0.9$0.9-
Qwen/Qwen1.5-72B$0.9$0.9-
codellama/CodeLlama-70b-Instruct-hf$0.9$0.9-
garage-bAInd/Platypus2-70B-instruct$0.9$0.9-
meta-llama/Llama-2-70b-chat-hf$0.9$0.9-
meta-llama/Llama-3-70b-chat-hf$0.9$0.9-
mistralai/Mixtral-8x7B-v0.1$0.9$0.9-
together-ai-41.1b-80b$0.9$0.9-
Kimi-K2-Instruct$1$3-
Kimi-K2-Instruct-0905$1$3-
Qwen/Qwen2.5-72B-Instruct-Turbo$1.2$1.2-
microsoft/WizardLM-2-8x22B$1.2$1.2-
DeepSeek-V3$1.25$1.25-
together-ai-81.1b-110b$1.8$1.8-
Qwen3-Coder-480B-A35B-Instruct-FP8$2$2-
mistralai/Mixtral-8x22B-Instruct-v0.1$2.4$2.4-
DeepSeek-R1$3$7-
meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo$3.5$3.5-
Meta-Llama-3.1-405B-Instruct-Turbo$3.5$3.5-

Use the Together AI snapshot as a reference, then measure the request

Local tracking can estimate supported responses from provider usage fields. The authenticated gateway path adds request identity, persisted cost evidence, session attribution, and pre-dispatch budget checks.