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inclusionaiListed Jul 23
inclusionAI: Ling 3.0 Flash
*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic…
262.1K contextTool callingStructured outputNo reported score
No reported score
poolsideListed Jul 21
Poolside: Laguna S 2.1
Laguna S 2.1 is the latest coding agent model from Poolside. Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...
1M contextTool callingReasoningNo reported score
No reported score
$0.09in$0.18out/ 1M tokens · USDPoolside · via OpenRouter · 2 endpointspoolside/fp4 · quantization=fp4
poolsideListed Jul 21
Poolside: Laguna S 2.1 (free)
Laguna S 2.1 is the latest coding agent model from Poolside. Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...
262.1K contextTool callingReasoningNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDPoolside · via OpenRouter · 2 endpointspoolside/fp4 · quantization=fp4
googleListed Jul 21
Google: Gemini 3.6 Flash
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
1M contextImage inputAudio inputNo reported score
No reported score
$0.375in$1.875out/ 1M tokens · USDGoogle AI Studio · via OpenRouter · 9 endpointsgoogle-ai-studio/flex · tier=flex
googleListed Jul 21
Google: Gemini 3.6 Flash (batch)
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
1M contextImage inputAudio inputNo reported score
No reported score
googleListed Jul 21
Google: Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.
1M contextImage inputAudio inputNo reported score
No reported score
$0.15in$1.25out/ 1M tokens · USDGoogle · via OpenRouter · 10 endpointsgoogle-vertex/global/flex · tier=flex
googleListed Jul 21
Google: Gemini 3.5 Flash Lite (batch)
Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.
1M contextImage inputAudio inputNo reported score
No reported score
meituanListed Jul 20
Meituan: LongCat 2.0
LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizon problem solving, and…
1M contextTool callingReasoningNo reported score
No reported score
$0.30in$1.20out/ 1M tokens · USDAtlasCloud · via OpenRouter · 2 endpointsatlas-cloud/fp8 · quantization=fp8
thinkingmachinesListed Jul 17
Thinking Machines: Inkling (free)
Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and…
1M contextImage inputAudio inputNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDThinking Machines · via OpenRouter · 2 endpointsthinkingmachines/nvfp4 · quantization=nvfp4
openrouterListed Jul 17
Auto Router (Beta)
The experimental version of our Auto Router where we test new improvements. Use it to get the latest and greatest version of our general purpose auto router, but expect beta...
2M contextImage inputAudio inputNo reported score
No reported score
Price not listed
moonshotaiListed Jul 16
MoonshotAI: Kimi K3 (batch)
Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...
1M contextImage inputVideo inputNo reported score
No reported score
$2.28in$11.40out/ 1M tokens · USDDeepInfra · via OpenRouter · 2 endpointsdeepinfra/bf16 · quantization=bf16
metaListed Jul 16
Meta: Muse Spark 1.1
Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, and PDF documents and returns text, with a 1M-token context window....
1M contextImage inputVideo inputNo reported score
No reported score
moonshotaiReleased Jul 16
Kimi-K3
2.8T total and 104B active parameters; combines Kimi Delta Attention with native image/video input under the Kimi K3 license.
1M contextImage inputVideo input
thinkingmachinesReleased Jul 15
Thinking Machines: Inkling
Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and…
1M contextImage inputAudio input
prism-mlListed Jul 11
Ternary-Bonsai-27B-AWQ-4bit
262.1K context27BImage inputOpen weightsNo reported score
No reported score
openaiListed Jul 9
OpenAI: GPT-5.6 Luna Pro
GPT-5.6 Luna Pro is the same underlying model as GPT-5.6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more...
1.1M contextImage inputTool callingNo reported score
No reported score
$0.10in$0.60out/ 1M tokens · USDOpenAI · via OpenRouter · 6 endpointsopenai/flex · tier=flex · prompt ≤ 272000 tokens
openaiListed Jul 9
OpenAI: GPT-5.6 Luna Pro (batch)
GPT-5.6 Luna Pro is the same underlying model as GPT-5.6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more...
1.1M contextImage inputTool callingNo reported score
No reported score
$0.10in$0.60out/ 1M tokens · USDOpenAI · via OpenRouter · 2 endpointsopenai · prompt ≤ 272000 tokens
openaiListed Jul 9
OpenAI: GPT-5.6 Luna
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing…
1.1M contextImage inputTool callingNo reported score
No reported score
$0.10in$0.60out/ 1M tokens · USDOpenAI · via OpenRouter · 9 endpointsopenai/flex · tier=flex · prompt ≤ 272000 tokens
openaiListed Jul 9
OpenAI: GPT-5.6 Luna (batch)
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing…
1.1M contextImage inputTool callingNo reported score
No reported score
$0.10in$0.60out/ 1M tokens · USDOpenAI · via OpenRouter · 2 endpointsopenai · prompt ≤ 272000 tokens
openaiListed Jul 9
OpenAI: GPT-5.6 Terra Pro
GPT-5.6 Terra Pro is the same underlying model as GPT-5.6 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more...
1.1M contextImage inputTool callingNo reported score
No reported score
$1.00in$6.00out/ 1M tokens · USDOpenAI · via OpenRouter · 6 endpointsopenai/flex · tier=flex · prompt ≤ 272000 tokens
openaiListed Jul 9
OpenAI: GPT-5.6 Terra Pro (batch)
GPT-5.6 Terra Pro is the same underlying model as GPT-5.6 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more...
1.1M contextImage inputTool callingNo reported score
No reported score
$1.00in$6.00out/ 1M tokens · USDOpenAI · via OpenRouter · 2 endpointsopenai · prompt ≤ 272000 tokens
openaiListed Jul 9
OpenAI: GPT-5.6 Terra
GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...
1.1M contextImage inputTool callingNo reported score
No reported score
$1.00in$6.00out/ 1M tokens · USDOpenAI · via OpenRouter · 9 endpointsopenai/flex · tier=flex · prompt ≤ 272000 tokens
openaiListed Jul 9
OpenAI: GPT-5.6 Terra (batch)
GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...
1.1M contextImage inputTool callingNo reported score
No reported score
$1.00in$6.00out/ 1M tokens · USDOpenAI · via OpenRouter · 2 endpointsopenai · prompt ≤ 272000 tokens