qwen3-max vs deepseek-v4-flash
Side-by-side comparison of qwen3-max and deepseek-v4-flash: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. deepseek-v4-flash outperforms qwen3-max on 7 of 7 shared benchmarks.
qwen3-max
Input / 1M
$0.86
Output / 1M
$3.44
Context
262K
Model ID
alibaba/qwen3-max
deepseek-v4-flash
Input / 1M
$0.14
Output / 1M
$0.28
Context
1M
Model ID
deepseek/deepseek-v4-flash
Benchmark comparison
Intelligence Indexreasoning
qwen3-max39.8%
deepseek-v4-flash46.5%
Coding Indexcoding
qwen3-max30.5%
deepseek-v4-flash38.7%
GPQA Diamondreasoning
qwen3-max86.1%
deepseek-v4-flash89.4%
Terminal-Bench Hardagentic
qwen3-max24.2%
deepseek-v4-flash35.6%
τ²-Benchagentic
qwen3-max83.6%
deepseek-v4-flash95.0%
SciCodecoding
qwen3-max43.1%
deepseek-v4-flash44.9%
Humanity's Last Examreasoning
qwen3-max26.2%
deepseek-v4-flash32.1%
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 | deepseek-v4-flash | |
|---|---|---|
| Input price / 1M | $0.86 | $0.14 |
| Output price / 1M | $3.44 | $0.28 |
| Context window | 262K tokens | 1M tokens |
| Max output | 66K tokens | 384K tokens |
| Vision input | Yes | N/A |
| Tool calling | Yes | Yes |
| Reasoning | N/A | N/A |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | Alibaba Cloud | DeepSeek |
Questions people ask
Is qwen3-max better than deepseek-v4-flash?
deepseek-v4-flash outperforms qwen3-max on 7 of 7 shared benchmarks. See the benchmark comparison above for specifics: qwen3-max and deepseek-v4-flash have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, qwen3-max or deepseek-v4-flash?
deepseek-v4-flash is cheaper. qwen3-max costs $0.86/$3.44 per 1M input/output tokens, while deepseek-v4-flash costs $0.14/$0.28.
Can I use qwen3-max and deepseek-v4-flash 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 "deepseek/deepseek-v4-flash", no other code changes needed.
What are the context windows?
qwen3-max supports up to 262K tokens of context. deepseek-v4-flash supports up to 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 deepseek-v4-flash with one line of code
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