qwen3.8-max vs deepseek-r1
Side-by-side comparison of qwen3.8-max and deepseek-r1: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. qwen3.8-max outperforms deepseek-r1 on 3 of 3 shared benchmarks.
qwen3.8-max
Input / 1M
$2.00
Output / 1M
$6.00
Context
1.0M
Model ID
alibaba/qwen3.8-max
deepseek-r1
Input / 1M
$4.00
Output / 1M
$4.00
Context
64K
Model ID
novita/deepseek/deepseek-r1
Benchmark comparison
Intelligence Indexreasoning
qwen3.8-max46.9%
deepseek-r113.9%
Coding Indexcoding
qwen3.8-max71.8%
deepseek-r1N/A
Math Indexmath
qwen3.8-maxN/A
deepseek-r176.0%
GPQA Diamondreasoning
qwen3.8-max92.7%
deepseek-r181.3%
AIME 2025math
qwen3.8-maxN/A
deepseek-r176.0%
LiveCodeBenchcoding
qwen3.8-maxN/A
deepseek-r177.0%
Terminal-Bench Hardagentic
qwen3.8-maxN/A
deepseek-r115.9%
τ²-Benchagentic
qwen3.8-maxN/A
deepseek-r136.5%
SciCodecoding
qwen3.8-max53.2%
deepseek-r1N/A
MMLU Proknowledge
qwen3.8-maxN/A
deepseek-r184.9%
Humanity's Last Examreasoning
qwen3.8-max43.0%
deepseek-r115.8%
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 | deepseek-r1 | |
|---|---|---|
| Input price / 1M | $2.00 | $4.00 |
| Output price / 1M | $6.00 | $4.00 |
| Context window | 1.0M tokens | 64K tokens |
| Max output | 131K tokens | N/A |
| Vision input | N/A | N/A |
| Tool calling | Yes | Yes |
| Reasoning | Yes | N/A |
| Prompt caching | Yes | N/A |
| Computer use | N/A | N/A |
| Provider | Alibaba Cloud | Novita AI |
Questions people ask
Is qwen3.8-max better than deepseek-r1?
qwen3.8-max outperforms deepseek-r1 on 3 of 3 shared benchmarks. See the benchmark comparison above for specifics: qwen3.8-max and deepseek-r1 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, qwen3.8-max or deepseek-r1?
qwen3.8-max and deepseek-r1 have identical combined pricing.
Can I use qwen3.8-max and deepseek-r1 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 "novita/deepseek/deepseek-r1", no other code changes needed.
What are the context windows?
qwen3.8-max supports up to 1.0M tokens of context. deepseek-r1 supports up to 64K 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 deepseek-r1 with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.