qwen3-max vs gpt-6-astra
Side-by-side comparison of qwen3-max and gpt-6-astra: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-6-astra outperforms qwen3-max on 3 of 3 shared benchmarks.
qwen3-max
Input / 1M
$0.86
Output / 1M
$3.44
Context
262K
Model ID
alibaba/qwen3-max
gpt-6-astra
Input / 1M
$10.00
Output / 1M
$50.00
Context
1.1M
Model ID
openai/gpt-6-astra
Benchmark comparison
Intelligence Indexreasoning
qwen3-max25.0%
gpt-6-astra54.7%
Coding Indexcoding
qwen3-maxN/A
gpt-6-astra76.9%
GPQA Diamondreasoning
qwen3-max86.1%
gpt-6-astra96.1%
Terminal-Bench Hardagentic
qwen3-max24.2%
gpt-6-astraN/A
τ²-Benchagentic
qwen3-max83.6%
gpt-6-astraN/A
SciCodecoding
qwen3-maxN/A
gpt-6-astra56.5%
Humanity's Last Examreasoning
qwen3-max28.0%
gpt-6-astra54.7%
Scores sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and don't capture every aspect of model quality.
Pricing & specifications
| qwen3-max | gpt-6-astra | |
|---|---|---|
| Input price / 1M | $0.86 | $10.00 |
| Output price / 1M | $3.44 | $50.00 |
| Context window | 262K tokens | 1.1M tokens |
| Max output | 66K tokens | 128K tokens |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | N/A | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | Yes |
| Provider | Alibaba Cloud | OpenAI Inc. |
Questions people ask
Is qwen3-max better than gpt-6-astra?
gpt-6-astra outperforms qwen3-max on 3 of 3 shared benchmarks. See the benchmark comparison above for specifics: qwen3-max and gpt-6-astra have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, qwen3-max or gpt-6-astra?
qwen3-max is cheaper. qwen3-max costs $0.86/$3.44 per 1M input/output tokens, while gpt-6-astra costs $10.00/$50.00.
Can I use qwen3-max and gpt-6-astra through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "alibaba/qwen3-max" and "openai/gpt-6-astra", no other code changes needed.
What are the context windows?
qwen3-max supports up to 262K tokens of context. gpt-6-astra supports up to 1.1M tokens. Longer context means you can feed larger documents or codebases in a single prompt, though quality often degrades past 128K for most models.
Switch between qwen3-max and gpt-6-astra with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.