gemini-2.5-flash vs deepseek-v3.2
Side-by-side comparison of gemini-2.5-flash and deepseek-v3.2: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. deepseek-v3.2 outperforms gemini-2.5-flash on 9 of 9 shared benchmarks.
gemini-2.5-flash
Input / 1M
$0.30
Output / 1M
$2.50
Context
1.0M
Model ID
google/gemini-2.5-flash
deepseek-v3.2
Input / 1M
$0.56
Output / 1M
$1.68
Context
164K
Model ID
vertex/deepseek-v3.2
Benchmark comparison
Intelligence Indexreasoning
gemini-2.5-flash13.9%
deepseek-v3.225.3%
Coding Indexcoding
gemini-2.5-flashN/A
deepseek-v3.244.2%
Math Indexmath
gemini-2.5-flash73.3%
deepseek-v3.292.0%
GPQA Diamondreasoning
gemini-2.5-flash79.0%
deepseek-v3.284.0%
AIME 2025math
gemini-2.5-flash73.3%
deepseek-v3.292.0%
LiveCodeBenchcoding
gemini-2.5-flash69.5%
deepseek-v3.286.2%
Terminal-Bench Hardagentic
gemini-2.5-flash13.6%
deepseek-v3.235.6%
τ²-Benchagentic
gemini-2.5-flash31.6%
deepseek-v3.290.6%
MMLU Proknowledge
gemini-2.5-flash83.2%
deepseek-v3.286.2%
Humanity's Last Examreasoning
gemini-2.5-flash12.1%
deepseek-v3.224.6%
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
| gemini-2.5-flash | deepseek-v3.2 | |
|---|---|---|
| Input price / 1M | $0.30 | $0.56 |
| Output price / 1M | $2.50 | $1.68 |
| Context window | 1.0M tokens | 164K tokens |
| Max output | 66K tokens | 66K tokens |
| Vision input | Yes | N/A |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | Google LLC (Gemini API) | Google LLC (Vertex AI) |
Questions people ask
Is gemini-2.5-flash better than deepseek-v3.2?
deepseek-v3.2 outperforms gemini-2.5-flash on 9 of 9 shared benchmarks. See the benchmark comparison above for specifics: gemini-2.5-flash and deepseek-v3.2 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, gemini-2.5-flash or deepseek-v3.2?
deepseek-v3.2 is cheaper. gemini-2.5-flash costs $0.30/$2.50 per 1M input/output tokens, while deepseek-v3.2 costs $0.56/$1.68.
Can I use gemini-2.5-flash and deepseek-v3.2 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "google/gemini-2.5-flash" and "vertex/deepseek-v3.2", no other code changes needed.
What are the context windows?
gemini-2.5-flash supports up to 1.0M tokens of context. deepseek-v3.2 supports up to 164K 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 gemini-2.5-flash and deepseek-v3.2 with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.