qwen3.8-max vs grok-4.6
Side-by-side comparison of qwen3.8-max and grok-4.6: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. grok-4.6 outperforms qwen3.8-max on 4 of 5 shared benchmarks.
qwen3.8-max
Input / 1M
$2.00
Output / 1M
$6.00
Context
1.0M
Model ID
alibaba/qwen3.8-max
xAI Corp.
grok-4.6
Input / 1M
$2.00
Output / 1M
$6.00
Context
500K
Model ID
xai/grok-4.6
Benchmark comparison
Intelligence Indexreasoning
qwen3.8-max46.9%
grok-4.650.6%
Coding Indexcoding
qwen3.8-max71.8%
grok-4.676.8%
GPQA Diamondreasoning
qwen3.8-max92.7%
grok-4.694.9%
SciCodecoding
qwen3.8-max53.2%
grok-4.656.5%
Humanity's Last Examreasoning
qwen3.8-max43.0%
grok-4.642.9%
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
| qwen3.8-max | grok-4.6 | |
|---|---|---|
| Input price / 1M | $2.00 | $2.00 |
| Output price / 1M | $6.00 | $6.00 |
| Context window | 1.0M tokens | 500K tokens |
| Max output | 131K tokens | N/A |
| Vision input | N/A | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | Alibaba Cloud | xAI Corp. |
Questions people ask
Is qwen3.8-max better than grok-4.6?
grok-4.6 outperforms qwen3.8-max on 4 of 5 shared benchmarks. See the benchmark comparison above for specifics: qwen3.8-max and grok-4.6 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, qwen3.8-max or grok-4.6?
qwen3.8-max and grok-4.6 have identical combined pricing.
Can I use qwen3.8-max and grok-4.6 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/qwen3.8-max" and "xai/grok-4.6", no other code changes needed.
What are the context windows?
qwen3.8-max supports up to 1.0M tokens of context. grok-4.6 supports up to 500K 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 qwen3.8-max and grok-4.6 with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.