AkashML
Inference host · 8 models · 8 priced routes
Models on AkashML
| Model | In / out per 1M | Vs headline | |
|---|---|---|---|
| gpt-oss-20b | $0.02 / $0.1+452% vs headline | +452% | fp4 · gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. |
| gpt-oss-120b | $0.03 / $0.187+313% vs headline | +313% | fp4 · 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. |
| Gemma 4 26B A4B | $0.07 / $0.24+32% vs headline | +32% | fp4 · Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. |
| Llama 3.3 70B Instruct | $0.2 / $0.52+81% vs headline | +81% | fp8 · The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). |
| Qwen3.6 35B A3B | $0.1 / $0.9+525% vs headline | +525% | fp8 · Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. |
| Qwen3.8 27B | $0.225 / $1.98-31% vs headline | -31% | fp8 · Qwen3.8 27B is an open-weight dense vision-language model from Qwen. |
| GLM 5.3 | $0.19 / $4.4+157% vs headline | +157% | fp4 · GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. |
| Kimi K3.1 Pro | $1.8 / $10+70% vs headline | +70% | fp4 · Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window. |