deepseek-v4-flash-0731 vs gemini-2.5-pro
Side-by-side comparison of deepseek-v4-flash-0731 and gemini-2.5-pro: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. deepseek-v4-flash-0731 outperforms gemini-2.5-pro on 4 of 4 shared benchmarks.
deepseek-v4-flash-0731
Input / 1M
$0.44
Output / 1M
$1.32
Context
1M
Model ID
deepseek/deepseek-v4-flash-0731
gemini-2.5-pro
Input / 1M
$1.25
Output / 1M
$10.00
Context
1.0M
Model ID
google/gemini-2.5-pro
Benchmark comparison
Intelligence Indexreasoning
deepseek-v4-flash-073140.8%
gemini-2.5-pro19.0%
Coding Indexcoding
deepseek-v4-flash-073169.1%
gemini-2.5-pro33.3%
Math Indexmath
deepseek-v4-flash-0731N/A
gemini-2.5-pro87.7%
GPQA Diamondreasoning
deepseek-v4-flash-073190.8%
gemini-2.5-pro84.4%
AIME 2025math
deepseek-v4-flash-0731N/A
gemini-2.5-pro87.7%
LiveCodeBenchcoding
deepseek-v4-flash-0731N/A
gemini-2.5-pro80.1%
Terminal-Bench Hardagentic
deepseek-v4-flash-0731N/A
gemini-2.5-pro26.5%
τ²-Benchagentic
deepseek-v4-flash-0731N/A
gemini-2.5-pro54.1%
SciCodecoding
deepseek-v4-flash-073150.3%
gemini-2.5-proN/A
MMLU Proknowledge
deepseek-v4-flash-0731N/A
gemini-2.5-pro86.2%
Humanity's Last Examreasoning
deepseek-v4-flash-073138.6%
gemini-2.5-pro22.5%
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
| deepseek-v4-flash-0731 | gemini-2.5-pro | |
|---|---|---|
| Input price / 1M | $0.44 | $1.25 |
| Output price / 1M | $1.32 | $10.00 |
| Context window | 1M tokens | 1.0M tokens |
| Max output | 384K tokens | 66K tokens |
| Vision input | N/A | Yes |
| Tool calling | Yes | Yes |
| Reasoning | N/A | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | DeepSeek | Google LLC (Gemini API) |
Questions people ask
Is deepseek-v4-flash-0731 better than gemini-2.5-pro?
deepseek-v4-flash-0731 outperforms gemini-2.5-pro on 4 of 4 shared benchmarks. See the benchmark comparison above for specifics: deepseek-v4-flash-0731 and gemini-2.5-pro have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, deepseek-v4-flash-0731 or gemini-2.5-pro?
deepseek-v4-flash-0731 is cheaper. deepseek-v4-flash-0731 costs $0.44/$1.32 per 1M input/output tokens, while gemini-2.5-pro costs $1.25/$10.00.
Can I use deepseek-v4-flash-0731 and gemini-2.5-pro through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "deepseek/deepseek-v4-flash-0731" and "google/gemini-2.5-pro", no other code changes needed.
What are the context windows?
deepseek-v4-flash-0731 supports up to 1M tokens of context. gemini-2.5-pro 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 deepseek-v4-flash-0731 and gemini-2.5-pro with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.