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qwen3.7-plus vs gpt-6-astra

Side-by-side comparison of qwen3.7-plus and gpt-6-astra: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-6-astra outperforms qwen3.7-plus on 5 of 5 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
qwen3.7-plus31.9%
gpt-6-astra54.7%
Coding Indexcoding
qwen3.7-plus55.9%
gpt-6-astra76.9%
GPQA Diamondreasoning
qwen3.7-plus90.0%
gpt-6-astra96.1%
Terminal-Bench Hardagentic
qwen3.7-plus47.0%
gpt-6-astraN/A
τ²-Benchagentic
qwen3.7-plus93.0%
gpt-6-astraN/A
SciCodecoding
qwen3.7-plus46.1%
gpt-6-astra56.5%
Humanity's Last Examreasoning
qwen3.7-plus35.6%
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

qwen3.7-plusgpt-6-astra
Input price / 1M$0.40$0.32$10.00
Output price / 1M$1.60$1.28$50.00
Context window1.0M tokens1.1M tokens
Max output131K tokens128K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useN/AYes
ProviderAlibaba CloudOpenAI Inc.

Questions people ask

Is qwen3.7-plus better than gpt-6-astra?
gpt-6-astra outperforms qwen3.7-plus on 5 of 5 shared benchmarks. See the benchmark comparison above for specifics: qwen3.7-plus and gpt-6-astra have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, qwen3.7-plus or gpt-6-astra?
qwen3.7-plus is cheaper. qwen3.7-plus costs $0.32/$1.28 per 1M input/output tokens, while gpt-6-astra costs $10.00/$50.00. The prices shown are what you pay: qwen3.7-plus runs at 20% off its list rate of $0.40 per 1M input and $1.60 per 1M output.
Can I use qwen3.7-plus 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/qwen3.7-plus" and "openai/gpt-6-astra", no other code changes needed.
What are the context windows?
qwen3.7-plus supports up to 1.0M 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 qwen3.7-plus 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.