GPT-6 Astra Pro vs Qwen3.8 Max Prime
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
GPT-6 Astra Pro is the same underlying model as GPT-6 Astra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- ▲1.1 M tokens
- Max output
- 128 K
- Input, $ per 1M tokens
- $10.00
- Output, $ per 1M tokens
- $50.00
- Cache read, $ per 1M
- $1.000
- Batch (input / output)
- $5.00 / $25.00
- Tool calling
- Yes
- Released
- 09/04/2026
- Knowledge cutoff
- —
- API id
- openai/gpt-6-astra-pro
Qwen3.8 Max Prime is a higher-throughput variant of Qwen3.8 Max from Alibaba's Qwen team, served as a separate SKU at a higher price point.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 1 M tokens
- Max output
- ▲131 K
- Input, $ per 1M tokens
- ▲$4.00
- Output, $ per 1M tokens
- ▲$12.00
- Cache read, $ per 1M
- $0.500
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- ▲09/23/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3.8-max-prime
Which is the better API choice: GPT-6 Astra Pro vs Qwen3.8 Max Prime?
- Qwen3.8 Max Prime: cheapest input (60% less than GPT-6 Astra Pro)
- Qwen3.8 Max Prime: cheapest output
- GPT-6 Astra Pro: largest context (1.1 M)
- Qwen3.8 Max Prime: the newest (09/23/2026)
- GPT-6 Astra Pro: most reasoning (estimated)
- Qwen3.8 Max Prime: the fastest (estimated)
Qwen3.8 Max Prime costs 60% less on input and 76% less on output than GPT-6 Astra Pro ($4.00 / $12.00 versus $10.00 / $50.00 per million tokens). GPT-6 Astra Pro accepts more context (1.1 M). GPT-6 Astra Pro offers a batch tier at half price for jobs that do not need an immediate answer.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Qwen3.8 Max Prime you save $242.00 a month versus GPT-6 Astra Pro (69% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Pro Preview Google$0.00
- 2Lyria 3 Clip Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
- 5Ministral 3 3B 2512 Mistral$1.90
- 6Qwen3.5-Flash Qwen$2.02
Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Claude Sonnet 5.5 Anthropic$0.152
- 2Claude Sonnet 5 Anthropic$0.152
- 3Qwen3.8 Max Prime Qwen$0.304
- 4Claude Opus 5.5 Anthropic$0.304
- 5Claude Opus 5 Anthropic$0.380
- 6GPT-6 Astra Pro OpenAI$0.760
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
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Frequently asked questions
Which is the better API choice: GPT-6 Astra Pro vs Qwen3.8 Max Prime?
Qwen3.8 Max Prime costs 60% less on input and 76% less on output than GPT-6 Astra Pro ($4.00 / $12.00 versus $10.00 / $50.00 per million tokens). GPT-6 Astra Pro accepts more context (1.1 M). GPT-6 Astra Pro offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: GPT-6 Astra Pro and Qwen3.8 Max Prime?
Qwen3.8 Max Prime is cheaper: $4.00 per million input tokens and $12.00 per million output tokens, versus $10.00 / $50.00 for GPT-6 Astra Pro.
Which has more context: GPT-6 Astra Pro and Qwen3.8 Max Prime?
GPT-6 Astra Pro accepts 1.1 M tokens of context; Qwen3.8 Max Prime accepts 1 M.
Which is newer: GPT-6 Astra Pro and Qwen3.8 Max Prime?
Qwen3.8 Max Prime was released on 09/23/2026; GPT-6 Astra Pro on 09/04/2026.
What would 10,000 requests a month cost with GPT-6 Astra Pro and Qwen3.8 Max Prime?
With 1,500 input and 400 output tokens per request: GPT-6 Astra Pro: $350.00; Qwen3.8 Max Prime: $108.00 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.