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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
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 OpenRoutervenice
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
$1.00in$3.20out/ 1M tokens · USDVenice · via OpenRoutervenice/fp8 · quantization=fp8
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 · USDVenice · via OpenRoutervenice/fp8 · quantization=fp8
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
$0.532in$3.325out/ 1M tokens · USDVenice · via OpenRoutervenice
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
$0.4004in$1.9292out/ 1M tokens · USDVenice · via OpenRoutervenice/fp4 · quantization=fp4
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
$0.2683in$0.3902out/ 1M tokens · USDVenice · via OpenRoutervenice
zai-orgListed Sep 29

GLM-4.6

Compared with GLM-4.5, GLM-4.6 brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex agentic tasks.…

204.8K contextTool callingStructured outputNo reported score
No reported score
$0.43in$1.75out/ 1M tokens · USDVenice · via OpenRoutervenice/fp4 · quantization=fp4
QwenListed Sep 22

Qwen3-VL-235B-A22B-Instruct

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date. This generation delivers comprehensive upgrades across the board: superior text understanding & generation, deeper visual…

262.1K context235BImage inputTool callingNo reported score
No reported score
$0.21in$1.90out/ 1M tokens · USDVenice · via OpenRoutervenice/fp8 · quantization=fp8
openaiListed Aug 4

gpt-oss-120b

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. The model supports…

131.1K context120BTool callingStructured outputNo reported score
No reported score
$0.03in$0.15out/ 1M tokens · USDVenice · via OpenRoutervenice/int4 · quantization=int4
qwenListed Jul 25

Qwen: Qwen3 235B A22B Thinking 2507

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and…

262.1K context235BTool callingReasoningNo reported score
No reported score
$0.45in$3.50out/ 1M tokens · USDVenice · via OpenRoutervenice/fp8 · quantization=fp8
qwenListed Jul 23

Qwen: Qwen3 Coder 480B A35B

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, tool use, and long-context…

262.1K contextTool callingStructured outputNo reported score
No reported score
cognitivecomputationsListed Jul 9

Venice: Uncensored

Venice Uncensored Dolphin Mistral 24B Venice Edition is a fine-tuned variant of Mistral-Small-24B-Instruct-2501, developed by dphn.ai in collaboration with Venice.ai. This model is designed as an…

128K context24BStructured outputOpen weightsNo reported score
No reported score
$0.20in$0.90out/ 1M tokens · USDVenice · via OpenRoutervenice/fp16 · quantization=fp16
mistralaiListed Jun 20

Mistral-Small-3.2-24B-Instruct-2506

Mistral-Small-3.2-24B-Instruct is a drop-in upgrade over the 3.1 release, with markedly better instruction following, roughly half the infinite-generation errors, and a more robust function-calling…

256K context24BImage inputTool callingNo reported score
No reported score
$0.0938in$0.25out/ 1M tokens · USDVenice · via OpenRoutervenice/fp8 · quantization=fp8