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nvidiaListed Sep 16

NVIDIA-Nemotron-3.5-Super-VL

NVIDIA Nemotron 3.5 Super VL is an open multimodal model for agents that see, reason, and act. Its 120B-parameter Mixture-of-Experts design (12B active) understands text, images, documents, GUIs, and video,…

1M contextImage inputVideo inputNo reported score
No reported score
$0.15in$0.50out/ 1M tokens · USDCoreWeave · via OpenRoutercoreweave/nvfp4 · quantization=nvfp4
deepseek-aiListed Aug 12

DeepSeek-V4-Pro-0813

DeepSeek-V4-Pro-0813 is the official release of DeepSeek-V4-Pro, superseding the preview version, with greatly enhanced agentic capabilities and performance improvements that are especially pronounced in…

1M contextTool callingStructured outputNo reported score
No reported score
$1.31in$3.96out/ 1M tokens · USDCoreWeave · via OpenRoutercoreweave/fp8 · quantization=fp8
ibm-graniteListed Aug 7

granite-4.2-8b

Granite-4.2-8B is the mid-size reasoning model in the Granite 4.2 family. It delivers strong performance on reasoning-intensive tasks by leveraging built-in ... chain-of-thought. It supports flexible…

131.1K context8BTool callingStructured outputNo reported score
No reported score
$0.10in$0.15out/ 1M tokens · USDCoreWeave · via OpenRoutercoreweave/bf16 · quantization=bf16
deepseek-aiListed Jul 31

DeepSeek-V4-Flash-0731

DeepSeek-V4-Flash-0731 is the official release of DeepSeek-V4-Flash, superseding the preview version, with substantially enhanced agentic capabilities. DeepSeek-V4-Flash-0731 outperforms DeepSeek-V4-Pro…

1M contextTool callingStructured outputNo reported score
No reported score
$0.13in$0.28out/ 1M tokens · USDCoreWeave · via OpenRoutercoreweave/fp8 · quantization=fp8
zai-orgListed Jun 16

GLM-5.2

GLM-5.2 is Z-AI's latest flagship model for long-horizon tasks. It marks a substantial leap in long-horizon task capability over its predecessor GLM-5.1 and, for the first time, delivers that capability on…

1M contextTool callingStructured outputNo reported score
No reported score
$0.62in$2.42out/ 1M tokens · USDCoreWeave · via OpenRoutercoreweave/fp4 · quantization=fp4
moonshotaiListed Jun 11

MoonshotAI: Kimi K2.7 Code

MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal…

262.1K contextImage inputTool callingNo reported score
No reported score
$0.71in$3.50out/ 1M tokens · USDCoreWeave · via OpenRoutercoreweave/int4 · quantization=int4
minimaxListed May 31

MiniMax: MiniMax M3

MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...

1M contextImage inputVideo inputNo reported score
No reported score
$0.23in$0.96out/ 1M tokens · USDCoreWeave · via OpenRoutercoreweave/fp4 · quantization=fp4
QwenListed Apr 15

Qwen3.6-35B-A3B

Qwen3.6-35B-A3B is Alibaba's latest flagship Mixture-of-Experts model, with 35B total parameters and only 3B activated per token (256 experts, 8 routed + 1 shared). Built on direct feedback from the…

262.1K context35BImage inputVideo inputNo reported score
No reported score
$0.25in$1.25out/ 1M tokens · USDCoreWeave · via OpenRoutercoreweave/fp8 · quantization=fp8
moonshotaiListed Apr 14

MoonshotAI: Kimi K2.6

Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks…

262.1K contextImage inputTool callingNo reported score
No reported score
$0.65in$3.41out/ 1M tokens · USDCoreWeave · via OpenRoutercoreweave/fp4 · quantization=fp4
googleListed Mar 11

Google: Gemma 4 26B A4B

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...

262.1K context26BImage inputVideo inputNo reported score
No reported score
$0.10in$0.30out/ 1M tokens · USDCoreWeave · via OpenRoutercoreweave/bf16 · quantization=bf16
deepseek-aiListed Aug 21

DeepSeek-V3.1

DeepSeek-V3.1 is post-trained on the top of DeepSeek-V3.1-Base, which is built upon the original V3 base checkpoint through a two-phase long context extension approach, following the methodology outlined in…

163.8K contextTool callingStructured outputNo reported score
No reported score
$0.55in$1.65out/ 1M tokens · USDCoreWeave · via OpenRoutercoreweave/fp8 · quantization=fp8
openaiListed Aug 4

gpt-oss-20b

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for…

131.1K context20BTool callingStructured outputNo reported score
No reported score
$0.03in$0.13out/ 1M tokens · USDCoreWeave · via OpenRoutercoreweave/fp4 · quantization=fp4
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$0.17out/ 1M tokens · USDCoreWeave · via OpenRoutercoreweave/fp4 · quantization=fp4
meta-llamaListed Nov 26

Meta: Llama 3.3 70B Instruct

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...

131.1K context70BTool callingStructured outputNo reported score
No reported score
$0.71in$0.71out/ 1M tokens · USDCoreWeave · via OpenRoutercoreweave/fp16 · quantization=fp16
meta-llamaListed Jul 23

Meta: Llama 3.1 8B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...

131.1K context8BTool callingStructured outputNo reported score
No reported score
$0.22in$0.22out/ 1M tokens · USDCoreWeave · via OpenRoutercoreweave/bf16 · quantization=bf16