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nvidiaListed Mar 11

NVIDIA: Nemotron 3 Super (free)

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid…

262.1K context120BTool callingStructured outputNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDNvidia · via OpenRouter · 2 endpointsnvidia
QwenListed Feb 27

Qwen3.5-9B

Qwen3.5-9B is a high-performance model from Alibaba's Qwen3.5 series with a hybrid Gated Delta Networks and sparse MoE architecture. It features a 262K token context window, thinking/reasoning mode, tool…

262.1K context9BImage inputVideo inputNo reported score
No reported score
$0.08in$0.13out/ 1M tokens · USDDarkbloom · via OpenRouter · 12 endpointsdarkbloom/fp4 · quantization=fp4
qwenListed Feb 24

Qwen: Qwen3.5-122B-A10B

The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference…

262.1K context122BImage inputVideo inputNo reported score
No reported score
$0.26in$2.08out/ 1M tokens · USDAlibaba · via OpenRouter · 7 endpointsalibaba
QwenListed Feb 24

Qwen3.5-27B

Qwen3.5-27B is Alibaba's largest dense Qwen3.5 model, delivering near-frontier quality across reasoning, coding, and instruction following. It features a 262K token context window (extensible to 1M),…

262.1K context27BImage inputVideo inputNo reported score
No reported score
$0.195in$1.56out/ 1M tokens · USDAlibaba · via OpenRouter · 11 endpointsalibaba
QwenListed Feb 24

Qwen3.5-35B-A3B

Qwen3.5-35B-A3B is an efficient Mixture-of-Experts model from Alibaba's Qwen3.5 series with 35B total parameters and only 3B activated per token. It features a 262K token context window (extensible to 1M…

262.1K context35BImage inputVideo inputNo reported score
No reported score
$0.065in$0.75out/ 1M tokens · USDDarkbloom · via OpenRouter · 11 endpointsdarkbloom/fp4 · quantization=fp4
QwenListed Feb 16

Qwen3.5-397B-A17B

Qwen3.5-397B-A17B is Alibaba's most capable Qwen3.5 model, a Mixture-of-Experts architecture with 397B total parameters and 17B activated per token. It features a 262K token context window (extensible to 1M…

262.1K context397BImage inputVideo inputNo reported score
No reported score
$0.39in$2.34out/ 1M tokens · USDAlibaba · via OpenRouter · 17 endpointsalibaba
minimaxListed Feb 12

MiniMax: MiniMax M2.5

MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...

204.8K contextTool callingStructured outputNo reported score
No reported score
$0.27in$0.95out/ 1M tokens · USDVenice · via OpenRouter · 12 endpointsvenice
z-aiListed Feb 11

Z.ai: GLM 5

GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on…

204.8K contextTool callingStructured outputNo reported score
No reported score
$0.60in$1.92out/ 1M tokens · USDGMICloud · via OpenRouter · 14 endpointsgmicloud/fp8 · quantization=fp8
qwenListed Feb 4

Qwen: Qwen3 Coder Next

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...

262.1K contextTool callingStructured outputNo reported score
No reported score
$0.12in$0.80out/ 1M tokens · USDParasail · via OpenRouter · 2 endpointsparasail/bf16 · quantization=bf16
stepfunListed Jan 29

StepFun: Step 3.5 Flash

Step 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11B of its 196B parameters per token....

262.1K contextTool callingReasoningNo reported score
No reported score
$0.10in$0.30out/ 1M tokens · USDdeepinfra · via Hugging Face · 4 endpoints
z-aiListed Jan 19

Z.ai: GLM 4.7 Flash

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon…

202.8K contextTool callingStructured outputNo reported score
No reported score
$0.06in$0.40out/ 1M tokens · USDdeepinfra · via Hugging Face · 8 endpoints
moonshotaiListed Jan 1

MoonshotAI: Kimi K2.5

Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over…

262.1K contextImage inputTool callingNo reported score
No reported score
$0.45in$2.25out/ 1M tokens · USDdeepinfra · via Hugging Face · 10 endpoints
minimaxListed Dec 23

MiniMax: MiniMax M2.1

MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a…

204.8K contextTool callingStructured outputNo reported score
No reported score
$0.30in$1.20out/ 1M tokens · USDMinimax · via OpenRouter · 3 endpointsminimax/fp8 · quantization=fp8
zai-orgListed Dec 22

GLM-4.7

GLM-4.7 is a state-of-the-art, multilingual Mixture-of-Experts (MoE) language model designed for complex reasoning, agentic coding, and tool use. Building on its predecessor GLM-4.6, it delivers significant…

204.8K contextTool callingStructured outputNo reported score
No reported score
$0.32in$1.40out/ 1M tokens · USDDeepInfra · via OpenRouter · 14 endpointsdeepinfra/fp4/flex · tier=flex · quantization=fp4
nvidiaListed Dec 14

NVIDIA: Nemotron 3 Nano 30B A3B

NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully...

262.1K context30BTool callingStructured outputNo reported score
No reported score
$0.05in$0.20out/ 1M tokens · USDNovita · via OpenRouter · 3 endpointsnovita/fp4 · quantization=fp4
mistralaiListed Dec 9

Mistral: Devstral 2 2512

Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256K context window. Devstral 2 supports exploring...

262.1K contextTool callingStructured outputNo reported score
No reported score
$0.40in$2.00out/ 1M tokens · USDMistral · via OpenRouter · 2 endpointsmistral/eu
z-aiListed Dec 7

Z.ai: GLM 4.6V

GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex…

131.1K contextImage inputVideo inputNo reported score
No reported score
$0.30in$0.90out/ 1M tokens · USDExperiential · 5 endpointsStandard list rate
mistralaiListed Dec 2

Mistral: Ministral 3 14B 2512

The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language...

262.1K context14BImage inputTool callingNo reported score
No reported score
$0.20in$0.20out/ 1M tokens · USDMistral · via OpenRouter · 4 endpointsmistral/zdr
mistralaiListed Dec 2

Mistral: Ministral 3 8B 2512

A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.

262.1K context8BImage inputTool callingNo reported score
No reported score
$0.15in$0.15out/ 1M tokens · USDMistral · via OpenRouter · 4 endpointsmistral/zdr
mistralaiListed Dec 2

Mistral: Ministral 3 8B 2512 (batch)

A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.

262.1K context8BImage inputTool callingNo reported score
No reported score
$0.075in$0.075out/ 1M tokens · USDMistral · via OpenRouter · 2 endpointsmistral
mistralaiListed Dec 2

Mistral: Ministral 3 3B 2512

The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.

131.1K context3BImage inputTool callingNo reported score
No reported score
$0.10in$0.10out/ 1M tokens · USDMistral · via OpenRouter · 4 endpointsmistral/zdr
deepseek-aiListed Dec 1

DeepSeek-V3.2

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a…

163.8K contextTool callingStructured outputNo reported score
No reported score
$0.2088in$0.3096out/ 1M tokens · USDGMICloud · via OpenRouter · 16 endpointsgmicloud/fp8 · quantization=fp8
moonshotaiListed Nov 6

MoonshotAI: Kimi K2 Thinking

Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE)…

262.1K contextTool callingStructured outputNo reported score
No reported score
$0.60in$2.50out/ 1M tokens · USDExperiential · 4 endpointsStandard list rate