Models

GPT 6 Astra vs Qwen3.8 Max Preview

Compare GPT 6 Astra from OpenAI and Qwen3.8 Max Preview from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

OpenAIGPT 6 AstraQwenQwen3.8 Max Preview
OpenAI logo
GPT 6 Astra
OpenAI · text, image → text

GPT-6 Astra is OpenAI's newest and most intelligent model, with industry-leading performance in computer operations, web browsing, software engineering, scientific research, and professional work. It excels at executing multi-step workflows across code, browsers, and various professional software. Astra can achieve better results with significantly fewer output tokens, making its estimated API cost per task lower.

Input$10 /M
Output$50 /M
Cache read$1 /M
Qwen logo
Qwen3.8 Max Preview
Qwen · text, image → text

Qwen 3.8 Max Preview(Qwen3.8-Max-Preview) is the latest-generation foundation model in the Qwen family, packing 2.4T parameters and still evolving. Compared with the previous flagship Qwen 3.7 Max, it delivers major gains in core capabilities like Coding and Cowork (professional productivity), with world-leading performance on complex, long-horizon tasks such as full-stack development, data analysis, and Office workflows. Launch offer: Credits are consumed at just 20% of the standard rate, effectively 5× your usage. Limited time only.

Input$0.338 /M
Output$1.014 /M
Cache read$0.0338 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

GPT 6 Astra
Qwen3.8 Max Preview
Input /M
$10
$0.338
Output /M
$50
$1.014
Cache read /M
$1
$0.0338
Context length
1,050,000
983,616
Max output
128,000
131,072
Time to First Token
12.0 s
2.4 s
Throughput
42.2 tok/s
48.1 tok/s
Modalities
textimage
textimage
Supported Parameters
toolsthinkingstructured outputs
toolsfunction callingstructured outputsweblong contextthinking
API Formats
chat_completions · responses
Released
September 5, 2026
-

Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

gpt-6-astraqwen3.8-max-preview

Tokens / day

-

Requests / day

-

Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

gpt-6-astraqwen3.8-max-preview

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

Cost calculator

Estimate your monthly bill for the same workload on each model.

Qwen3.8 Max Preview
$35.49 /mo
GPT 6 Astra
$1,350 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: GPT 6 Astra, Qwen3.8 Max Preview?

Qwen3.8 Max Preview: $1.014/M output tokens; GPT 6 Astra: $50/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

Qwen3.8 Max Preview: 2.4s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

GPT 6 Astra accepts 1,050,000 and Qwen3.8 Max Preview accepts 983,616 input tokens. Maximum output per request is 128,000 tokens on GPT 6 Astra and 131,072 tokens on Qwen3.8 Max Preview.

Which one generates tokens faster?

Qwen3.8 Max Preview at 48.1 tok/s and GPT 6 Astra at 42.2 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

GPT 6 Astra accepts text and image input and supports tool calling, thinking and structured outputs; Qwen3.8 Max Preview accepts text and image input and supports tool calling, function calling, structured outputs, web search, long context and thinking.

Can I call GPT 6 Astra and Qwen3.8 Max Preview with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

Popular comparisons

Related model match-ups readers also look at.