Venice
Inference host · 32 models · 33 priced routes · venice.ai
Models on Venice
| Model | In / out per 1M | Vs headline | |
|---|---|---|---|
| $0.03 / $0.15+258% vs headline | +258% | int4 · 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. | |
| $0.094 / $0.25+25% vs headline | +25% | fp8 · 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. | |
| $0.13 / $0.26+82% vs headline | +82% | DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. | |
| $0.138 / $0.275+53% vs headline | +53% | DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. | |
| $0.12 / $0.36+12% vs headline | +12% | fp4 · Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. | |
| $0.13 / $0.4+132% vs headline | +132% | bf16 · Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. | |
| $0.15 / $0.5+389% vs headline | +389% | GLM-5.3-Flash is a native multimodal model from Z.ai. | |
| $0.2 / $0.5+108% vs headline | +108% | fp4 · NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. | |
| $0.15 / $0.75+46% vs headline | +46% | fp8 · Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. | |
| $0.1 / $1+577% vs headline | +577% | 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. | |
| $0.15 / $1-19% vs headline | -19% | The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. | |
| $0.3 / $1.2+383% vs headline | +383% | fp8 · DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. | |
| $0.3 / $1.2+100% vs headline | +100% | fp8 · DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the deepseek-flash API model name. | |
| $0.21 / $1.9+71% vs headline | +71% | fp8 · Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. | |
| $0.35 / $1.5+34% vs headline | +34% | fp8 · Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. | |
| $0.43 / $1.75+9% vs headline | +9% | fp4 · Compared with GLM-4.5, this generation 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... | |
| $0.325 / $3.25+4% vs headline | +4% | fp8 · Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. | |
| $0.55 / $2.65+82% vs headline | +82% | fp4 · GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. | |
| $0.45 / $3.2+19% vs headline | +19% | fp8 · Qwen3.8 27B is an open-weight dense vision-language model from Qwen. | |
| $0.45 / $3.5Same vs headline | Same | fp8 · Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. |
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