OpenRouter vs Together AI.

Prices checked

OpenRouter is cheaper on 34 of the 53 models both sell, the widest gap Llama 3.3 70B Instruct at $0.16 against $1.04 per M tokens, checked .

Where to start

OpenRouterall 297 models

The reference router: charges each host's own price and routes open-weight models to the cheapest healthy host, so its price for an open model is often below the maker's.

Cheapest of the shared models

3.6¢/M tokens

gpt-oss-20b

Together AIall 61 models

Serves open-weight models on its own GPUs; also sells dedicated endpoints by the GPU-hour.

Cheapest of the shared models

6¢/M tokens

Llama 3.2 3B Instruct

Side by side

FactOpenRouterTogether AI
Kind of providerRouterHost
Models we track29761
Cheaper of the two34 of 534 of 53
Trains on your promptsdoes not saydoes not say
Keeps your requestsdoes not saydoes not say
How you paydoes not saydoes not say
Smallest top-updoes not saydoes not say
Free tiernone listednone listed
Where it runsdoes not saydoes not say

Every model both sell

53 models, most widely sold first. Per M tokens, blended 3 in : 1 out.

ModelOpenRouterTogether AI
GLM-5.3Z.ai · 1M context$0.40 7¢ in$1.40 out$2.15 $1.40 in$4.40 out
GLM-5.3-FlashZ.ai · 1M context$0.24 $0.15 in$0.50 out$0.24 $0.15 in$0.50 out
DeepSeek V4.1 Flash 1017DeepSeek · 1M context$0.26 $0.15 in$0.60 out$0.52 $0.30 in$1.20 out
DeepSeek V4 Flash 0731DeepSeek · 1M context6.8¢ 4.3¢ in$0.14 out$0.18 $0.14 in$0.28 out
GLM-5.2Z.ai · 1M context$1.78 3.4¢ in$7 out$2.15 $1.40 in$4.40 out
Kimi K3Moonshot AI · 1M context$2.88 $0.24 in$10.80 out$6 $3 in$15 out
DeepSeek V4 ProDeepSeek · 1M context$0.99 $0.66 in$1.98 out$1.98 $1.32 in$3.96 out
Kimi K2.6Moonshot AI · 262k context$1.34 $0.65 in$3.41 out$2.03 $1.20 in$4.50 out
gpt-oss-120bOpenAI · 131k context$0.26 $0.15 in$0.60 out$0.26 $0.15 in$0.60 out
MiniMax-M3MiniMax · 1M context$0.52 $0.30 in$1.20 out$0.52 $0.30 in$1.20 out
Kimi K2.7 CodeMoonshot AI · 262k context$1.34 $0.67 in$3.35 out$1.71 $0.95 in$4 out
GLM-5.1Z.ai · 200k context$2.15 $1.40 in$4.40 out$2.15 $1.40 in$4.40 out
Llama 3.3 70B InstructMeta · 131k context$0.16 $0.10 in$0.32 out$1.04 $1.04 in$1.04 out
GLM 5Z.ai · 200k context$1.55 $1 in$3.20 out$1.55 $1 in$3.20 out
MiniMax-M2.5MiniMax · 205k context$0.52 $0.30 in$1.20 out$0.52 $0.30 in$1.20 out
MiniMax-M2.7MiniMax · 205k context$0.52 $0.30 in$1.20 out$0.52 $0.30 in$1.20 out
gpt-oss-20bOpenAI · 131k context3.6¢ 1.8¢ in9¢ out8.8¢ 5¢ in$0.20 out
Kimi K2.5Moonshot AI · 262k context$1 $0.50 in$2.50 out$1.08 $0.50 in$2.80 out
Gemma 4 31B ITGoogle · 262k context$0.25 $0.20 in$0.40 out$0.53 $0.39 in$0.97 out
Qwen3.5 397B-A17BAlibaba Cloud · 262k context$1.27 $0.50 in$3.60 out$1.35 $0.60 in$3.60 out
Qwen3.8 FlashAlibaba Cloud · 1M context$0.23 $0.15 in$0.47 out$0.23 $0.15 in$0.47 out
GLM-4.7Z.ai · 205k context$0.90 $0.54 in$1.98 out$0.84 $0.45 in$2 out
MiniMax-M3.1-FlashMiniMax · 1M context$0.26 $0.15 in$0.60 out$0.26 $0.15 in$0.60 out
GLM-4.6Z.ai · 205k context$0.88 $0.50 in$2 out$1 $0.60 in$2.20 out
R1 0528DeepSeek · 164k context$0.91 $0.50 in$2.15 out$4 $3 in$7 out
DeepSeek V3 0324DeepSeek · 164k context$0.50 $0.29 in$1.14 out$1.25 $1.25 in$1.25 out
Qwen3.8 2.4T A95BAlibaba Cloud · 1M context$3 $2 in$6 out$3 $2 in$6 out
DeepSeek V3.1DeepSeek · 164k context$0.42 $0.25 in$0.95 out$0.88 $0.60 in$1.70 out
Llama 3.1 8B InstructMeta · 131k context5.8¢ 5¢ in8¢ out$0.18 $0.18 in$0.18 out
Qwen3 Coder 480B A35BAlibaba Cloud · 262k context$0.47 $0.30 in$1 out$2 $2 in$2 out
Kimi K2 0905Moonshot AI · 262k context$1.08 $0.60 in$2.50 out$1.50 $1 in$3 out
Qwen3.5-9BAlibaba Cloud · 262k context$0.19 $0.17 in$0.25 out$0.19 $0.17 in$0.25 out
GLM-4.5-AirZ.ai · 131k context$0.31 $0.13 in$0.85 out$0.43 $0.20 in$1.10 out
InklingThinking Machines · 524k context$1.76 $1 in$4.05 out$1.76 $1 in$4.05 out
Qwen3 Next 80B A3B InstructAlibaba Cloud · 131k context$0.34 9¢ in$1.10 out$0.49 $0.15 in$1.50 out
Muse Spark OpenMeta · 1M context$2 $1.25 in$4.25 out$2 $1.25 in$4.25 out
Llama 4 ScoutMeta · 1.3M context$0.15 $0.10 in$0.30 out$0.28 $0.18 in$0.59 out
Qwen3 Coder NextAlibaba Cloud · 262k context$0.29 $0.12 in$0.80 out$0.68 $0.50 in$1.20 out
Nemotron 3.5 Super VLNVIDIA · 1M context$0.24 $0.15 in$0.50 out$0.24 $0.15 in$0.50 out
Llama 3.1 70B InstructMeta · 131k context$0.40 $0.40 in$0.40 out$0.88 $0.88 in$0.88 out

The 40 most widely sold of 53 · every row in the open dataset

How we count

OpenRouter is cheaper on 34 of the 53 models both sell, Together AI on 4, and 15 cost the same at both. OpenRouter is a router and Together AI a host, so the two catalogs overlap without matching.

Each price is the cheapest that provider charges for the model, per M tokens, blended 3 in : 1 out. The smaller line under it is the price in and the price out.

A free tier is a limit rather than a price, and a price below the maker's own with nothing published to account for it is left out, so neither can be marked as the cheaper of the two.

Frequently asked

Is OpenRouter cheaper than Together AI?
On the 53 models both sell, OpenRouter is cheaper on 34, Together AI on 4, and 15 cost the same at both. The widest gap is Llama 3.3 70B Instruct: $0.16 per million tokens against $1.04. Prices are per M tokens, blended 3 in : 1 out, and read on 31 Oct 2026.
Which models do OpenRouter and Together AI both sell?
53 of the models we track, led by GLM-5.3, GLM-5.3-Flash, DeepSeek V4.1 Flash 1017. OpenRouter sells 297 in all and Together AI 61, so most of each catalog has no counterpart at the other.
Does OpenRouter or Together AI train on what you send it?
OpenRouter does not say whether it trains on what you send it, and does not say how long it keeps requests. Together AI does not say whether it trains on what you send it, and does not say how long it keeps requests. A provider that may train on prompts is often how a price below the maker's own is paid for.
How current are these prices?
Both catalogs are read every 3 days. OpenRouter was last read 31 Oct 2026 and Together AI 31 Oct 2026; the whole index was refreshed 31 Oct 2026. Prices exclude tax, and a price below the maker's own with nothing published to account for it is left out of this table entirely.

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