qwen3-max vs gemini-2.5-flash
Side-by-side comparison of qwen3-max and gemini-2.5-flash: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. qwen3-max outperforms gemini-2.5-flash on 7 of 7 shared benchmarks.
qwen3-max
Input / 1M
$0.86
Output / 1M
$3.44
Context
262K
Model ID
alibaba/qwen3-max
gemini-2.5-flash
Input / 1M
$0.30
Output / 1M
$2.50
Context
1.0M
Model ID
google/gemini-2.5-flash
Benchmark comparison
Intelligence Indexreasoning
qwen3-max39.8%
gemini-2.5-flash27.0%
Coding Indexcoding
qwen3-max30.5%
gemini-2.5-flash22.2%
Math Indexmath
qwen3-maxN/A
gemini-2.5-flash73.3%
GPQA Diamondreasoning
qwen3-max86.1%
gemini-2.5-flash79.0%
AIME 2025math
qwen3-maxN/A
gemini-2.5-flash73.3%
LiveCodeBenchcoding
qwen3-maxN/A
gemini-2.5-flash69.5%
Terminal-Bench Hardagentic
qwen3-max24.2%
gemini-2.5-flash13.6%
τ²-Benchagentic
qwen3-max83.6%
gemini-2.5-flash31.6%
SciCodecoding
qwen3-max43.1%
gemini-2.5-flash39.4%
MMLU Proknowledge
qwen3-maxN/A
gemini-2.5-flash83.2%
Humanity's Last Examreasoning
qwen3-max26.2%
gemini-2.5-flash11.1%
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 | gemini-2.5-flash | |
|---|---|---|
| Input price / 1M | $0.86 | $0.30 |
| Output price / 1M | $3.44 | $2.50 |
| Context window | 262K tokens | 1.0M tokens |
| Max output | 66K tokens | 66K tokens |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | N/A | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | Alibaba Cloud | Google LLC (Gemini API) |
Questions people ask
Is qwen3-max better than gemini-2.5-flash?
qwen3-max outperforms gemini-2.5-flash on 7 of 7 shared benchmarks. See the benchmark comparison above for specifics: qwen3-max and gemini-2.5-flash have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, qwen3-max or gemini-2.5-flash?
gemini-2.5-flash is cheaper. qwen3-max costs $0.86/$3.44 per 1M input/output tokens, while gemini-2.5-flash costs $0.30/$2.50.
Can I use qwen3-max and gemini-2.5-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 "google/gemini-2.5-flash", no other code changes needed.
What are the context windows?
qwen3-max supports up to 262K tokens of context. gemini-2.5-flash supports up to 1.0M 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 gemini-2.5-flash with one line of code
Requesty provides a single OpenAI-compatible API for 400+ models. Change the model parameter, not your code.
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