Last refreshed 2026-10-19. Next refresh: weekly.
Why use Qwen3-235B-A22B-Instruct-2507 on GCP Vertex AI?
GCP Vertex AI offers Qwen3-235B-A22B-Instruct-2507 with pay-as-you-go pricing at $0.22/1M input tokens. Vertex AI is Google Cloud's managed AI platform, offering access to Gemini models and hundreds of partner models alongside tools for fine-tuning, grounding, vector search, and end-to-end MLOps pipelines.
Compare Qwen3-235B-A22B-Instruct-2507 across 6 providers to find the best fit for your use caseInput / 1M
$0.22
Output / 1M
$0.88
Cache
Not sourced
Batch
-50% · in $0.11 / out $0.44
Setup recipe
Python + curlInstall
pip install google-cloud-aiplatformAuth
export GOOGLE_CLOUD_PROJECT=...Call
import os
import vertexai
from vertexai.generative_models import GenerativeModel
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")Model ID
qwen3-235b-a22b-instruct-2507-maasRequest example
import os
import vertexai
from vertexai.generative_models import GenerativeModel
# Reads GOOGLE_CLOUD_PROJECT from env; authenticates via Application Default Credentials
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")
model = GenerativeModel("qwen3-235b-a22b-instruct-2507-maas")
response = model.generate_content("Hello")
print(response.text)Gotchas
- Use provider model ID "qwen3-235b-a22b-instruct-2507-maas", not the LLMReference slug "qwen3-235b-a22b-instruct-2507".
- For Google-published models use the model name directly, e.g. "gemini-2.0-flash-001". For third-party publishers (Anthropic, Meta, etc.) use the full publisher path, e.g. "publishers/anthropic/models/claude-3-5-sonnet-v2@20241022".
- The examples expect GOOGLE_CLOUD_PROJECT; rename it only if your application config maps the new variable.
Compare Qwen3-235B-A22B-Instruct-2507 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| AWS Bedrock | $0.22 | $0.88 |
| Novita AI | $0.09 | $0.58 |
| OpenRouter | $0.09 | $0.55 |
| GCP Vertex AI | $0.22 | $0.88 |
| Together AI | $0.20 | $0.60 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.22 |
| Output tokens | $0.88 |
Capabilities
No model capability flags are currently sourced.
About Qwen3-235B-A22B-Instruct-2507
Qwen3-235B-A22B-Instruct-2507 is Alibaba Qwen's July 2025 non-thinking update of Qwen3-235B-A22B, a mixture-of-experts model with 22B active of 235B total parameters. Qwen dropped the hybrid thinking mode and trained separate Instruct and Thinking models; this is the Instruct release, with Apache-2.0 open weights on Hugging Face.
Get Started
Model Specs
Released2025-07-21
Parameters235B-A22B
ArchitectureMixture of Experts