Qwen3-235B A22B fp8-tput
Pricing & Specs
Qwen (Alibaba) · $0.2 input / $0.6 output per 1M tokens · 40.96K context window
The per-token price never tells the full story. A typical task (1K input + 500 output tokens) on Qwen3-235B A22B fp8-tput costs about $0.0005 — roughly $0.50 per 1,000 runs. But if it needs 3x the tokens of a cheaper model to match quality on YOUR task, the economics flip. The only way to know is to benchmark it on your actual workload.
Qwen3-235B A22B fp8-tput API Pricing
| Tokens | Price |
|---|---|
| Input | $0.2 / 1M tokens |
| Output | $0.6 / 1M tokens |
50% discount available for batch API requests. Batch API pricing is available via Together at 50%; cache pricing is not published.
What that means in practice
Qwen3-235B A22B fp8-tput Specs
| Spec | Value |
|---|---|
| Context window | 40.96K tokens |
| Input modalities | text |
| Output modalities | text |
| Latency (measured by OpenMark) | ~2.7s median response |
| Reasoning model | Yes |
| Tool / function calling | Yes |
| JSON mode | Yes |
| Streaming | Yes |
| Prompt caching | No |
| Batch API | Yes |
Capabilities
FAQ
How much does Qwen3-235B A22B fp8-tput cost?
Qwen3-235B A22B fp8-tput costs $0.2 per 1M input tokens and $0.6 per 1M output tokens.
What is Qwen3-235B A22B fp8-tput's context window?
Qwen3-235B A22B fp8-tput has a 40.96K-token context window.
Can I test Qwen3-235B A22B fp8-tput on my own task?
Yes. OpenMark lets you benchmark Qwen3-235B A22B fp8-tput against 100+ models on your own task with real API calls — no API keys needed, free tier available.
Is Qwen3-235B A22B fp8-tput the right model for YOUR task?
Pricing tables can't answer that. Benchmark it against 100+ models
on your actual workload — real API calls, real costs. Free tier available.