gemini-2.5-flash vs deepseek-v4-flash
Side-by-side comparison of gemini-2.5-flash and deepseek-v4-flash: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. deepseek-v4-flash outperforms gemini-2.5-flash on 4 of 4 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-v4-flash
Input / 1M
$0.14
Output / 1M
$0.28
Context
1.0M
Model ID
novita/deepseek/deepseek-v4-flash
Benchmark comparison
Intelligence Indexreasoning
gemini-2.5-flash20.3%
deepseek-v4-flash51.8%
Coding Indexcoding
gemini-2.5-flashN/A
deepseek-v4-flash69.1%
Math Indexmath
gemini-2.5-flash73.3%
deepseek-v4-flashN/A
GPQA Diamondreasoning
gemini-2.5-flash79.0%
deepseek-v4-flash90.8%
AIME 2025math
gemini-2.5-flash73.3%
deepseek-v4-flashN/A
LiveCodeBenchcoding
gemini-2.5-flash69.5%
deepseek-v4-flashN/A
Terminal-Bench Hardagentic
gemini-2.5-flash13.6%
deepseek-v4-flashN/A
τ²-Benchagentic
gemini-2.5-flash31.6%
deepseek-v4-flashN/A
SciCodecoding
gemini-2.5-flash39.4%
deepseek-v4-flash49.9%
MMLU Proknowledge
gemini-2.5-flash83.2%
deepseek-v4-flashN/A
Humanity's Last Examreasoning
gemini-2.5-flash12.1%
deepseek-v4-flash38.6%
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-v4-flash | |
|---|---|---|
| Input price / 1M | $0.30 | $0.14 |
| Output price / 1M | $2.50 | $0.28 |
| Context window | 1.0M tokens | 1.0M tokens |
| Max output | 66K tokens | N/A |
| Vision input | Yes | N/A |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | N/A |
| Computer use | N/A | N/A |
| Provider | Google LLC (Gemini API) | Novita AI |
Questions people ask
Is gemini-2.5-flash better than deepseek-v4-flash?
deepseek-v4-flash outperforms gemini-2.5-flash on 4 of 4 shared benchmarks. See the benchmark comparison above for specifics: gemini-2.5-flash and deepseek-v4-flash have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, gemini-2.5-flash or deepseek-v4-flash?
deepseek-v4-flash is cheaper. gemini-2.5-flash costs $0.30/$2.50 per 1M input/output tokens, while deepseek-v4-flash costs $0.14/$0.28.
Can I use gemini-2.5-flash 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 "google/gemini-2.5-flash" and "novita/deepseek/deepseek-v4-flash", no other code changes needed.
What are the context windows?
gemini-2.5-flash supports up to 1.0M tokens of context. deepseek-v4-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 gemini-2.5-flash and deepseek-v4-flash with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.