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open weights tools

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7,512 catalogue records · Reviewed guides appear first

24 tools on this page

LModelsCheap
DeepSeek logo

DeepSeek V3.2

DeepSeek

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 At

$0.280 / Mtok in163,840 ctxopen-weights

Best for: High-volume cheap coding and chat

LModelsReason
Qwen logo

Qwen3 Max

Qwen

Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail knowledge coverage c

$0.780 / Mtok in262,144 ctxopen-weights

Best for: Qwen-stack teams that need max quality

LModelsCoding
Qwen logo

Qwen3 Coder 480B A35B

Qwen

Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, to

$0.300 / Mtok in262,144 ctxopen-weights

Best for: Dedicated coding agents on a budget

LModelsReason
DeepSeek logo

R1

DeepSeek

DeepSeek R1 is here: Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inf

$0.700 / Mtok in64,000 ctxopen-weights

Best for: Cost-sensitive reasoning and coding agents

LModelsCoding
Meta logo

Llama 4 Maverick

Meta

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active

$0.188 / Mtok in1,048,576 ctxopen-weights

Best for: Teams that want open-weight flexibility with hosted convenience

LModelsCheap
Meta logo

Llama 4 Scout

Meta

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimo

$0.100 / Mtok in1,310,720 ctxopen-weights

Best for: Open-weight long-context coding on a budget

LModelsCoding
Mistral logo

Mistral Large

Mistral

This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more.

$2.00 / Mtok in128,000 ctxopen-weights

Best for: Multilingual and EU-friendly production assistants

LModelsReason
Cohere logo

Command R+ (08-2024)

Cohere

command-r-plus-08-2024 is an update of the Command R+ with roughly 50% higher throughput and 25% lower latencies as compared to the previous Comman

$2.50 / Mtok in128,000 ctxopen-weights

Best for: Enterprise RAG and retrieval-heavy assistants

LModelsCheap
DeepSeek logo

DeepSeek V3

DeepSeek

DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tok

$0.320 / Mtok in163,840 ctxopen-weights

Best for: High-volume cheap inference and drafts

LModelsCheap
Mistral logo

Mistral Small 3.2 24B

Mistral

Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compare

$0.094 / Mtok in256,000 ctxopen-weights

Best for: Cheap EU-friendly assistants and light coding

LModelsVision
N

Nex-N2-Pro

Nex Agi

Nex-N2-Pro is an agentic mixture-of-experts model from Nex AGI, with 17B active parameters out of 397B total. Built on the Qwen3.5 architecture, it accepts text and image input and

$0.250 / Mtok in262,144 ctxopen-weights
LModelsVision
Qwen logo

Qwen3.8 Max

Qwen

Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max Preview. It is a multimodal reasoning model intended for comple

$2.00 / Mtok in1,000,000 ctxopen-weights
LModelsContext
MiniMax logo

MiniMax M2.7 (free)

Minimax

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evoluti

$0 / Mtok in196,608 ctxopen-weights
LModelsContext
Z.ai (Zhipu) logo

GLM 5.2

Accounts

Flagship GLM model for hybrid reasoning, coding, and agentic engineering

$1.40 / Mtok in1,048,575 ctxopen-weights
LModelsContext
Z.ai (Zhipu) logo

Glm 5.2

Cf

Open flagship GLM for long-horizon coding agents and million-token context work

$1.40 / Mtok in262,144 ctxopen-weights
LModelsContext
Z.ai (Zhipu) logo

Glm 5.2

Workers Ai

Open flagship GLM for long-horizon coding agents and million-token context work

$1.40 / Mtok in262,144 ctxopen-weights
LModelsContext
Z.ai (Zhipu) logo

GLM-5.2

Hf Zai Org

Open flagship GLM for long-horizon coding agents and million-token context work

$1.40 / Mtok in524,288 ctxopen-weights
LModelsContext
Z.ai (Zhipu) logo

GLM-5.2

Subconscious

Open flagship GLM for long-horizon coding agents and million-token context work

$1.40 / Mtok in1,000,000 ctxopen-weights
LModelsContext
Z.ai (Zhipu) logo

GLM-5.2

Zai

Open flagship GLM for long-horizon coding agents and million-token context work

$1.40 / Mtok in1,000,000 ctxopen-weights
LModelsContext
Z.ai (Zhipu) logo

GLM-5.2

Zai Org

Open flagship GLM for long-horizon coding agents and million-token context work

$1.40 / Mtok in432,000 ctxopen-weights
LModelsContext
Z.ai (Zhipu) logo

GLM-5.2

Zai Org

Open flagship GLM for long-horizon coding agents and million-token context work

$0.850 / Mtok in393,216 ctxopen-weights
LModelsVision
X

MiMo-V2.6-Pro

Xiaomi

MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding.

$0.435 / Mtok in1,050,000 ctxopen-weights
LModelsVision
Qwen logo

Qwen3.8 Max (0902)

Qwen

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input a

$2.00 / Mtok in1,000,000 ctxopen-weights
LModelsContext
Z.ai (Zhipu) logo

GLM 5.3

Z Ai

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context w

$0.079 / Mtok in1,048,576 ctxopen-weights