Last refreshed 2026-10-19. Next refresh: weekly.
Why use Qwen3-235B-A22B-Instruct-2507 on Fireworks AI?
Fireworks AI offers Qwen3-235B-A22B-Instruct-2507. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Compare Qwen3-235B-A22B-Instruct-2507 across 6 providers to find the best fit for your use caseInput / 1M
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Output / 1M
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Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export FIREWORKS_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],Model ID
accounts/fireworks/models/qwen3-235b-a22b-instruct-2507Request example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],
base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
model="accounts/fireworks/models/qwen3-235b-a22b-instruct-2507",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "accounts/fireworks/models/qwen3-235b-a22b-instruct-2507", not the LLMReference slug "qwen3-235b-a22b-instruct-2507".
- Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
- The examples expect FIREWORKS_API_KEY; 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 |
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