deepseek-v4-flash vs gpt-5.4
Side-by-side comparison of deepseek-v4-flash and gpt-5.4: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-5.4 outperforms deepseek-v4-flash on 6 of 7 shared benchmarks.
deepseek-v4-flash
Input / 1M
$0.14
Output / 1M
$0.28
Context
1M
Model ID
deepseek/deepseek-v4-flash
gpt-5.4
Input / 1M
$2.50
Output / 1M
$15.00
Context
1.1M
Model ID
openai/gpt-5.4
Benchmark comparison
Intelligence Indexreasoning
deepseek-v4-flash46.5%
gpt-5.456.8%
Coding Indexcoding
deepseek-v4-flash38.7%
gpt-5.457.2%
GPQA Diamondreasoning
deepseek-v4-flash89.4%
gpt-5.492.0%
Terminal-Bench Hardagentic
deepseek-v4-flash35.6%
gpt-5.457.6%
τ²-Benchagentic
deepseek-v4-flash95.0%
gpt-5.487.1%
SciCodecoding
deepseek-v4-flash44.9%
gpt-5.456.6%
Humanity's Last Examreasoning
deepseek-v4-flash32.1%
gpt-5.441.6%
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
| deepseek-v4-flash | gpt-5.4 | |
|---|---|---|
| Input price / 1M | $0.14 | $2.50 |
| Output price / 1M | $0.28 | $15.00 |
| Context window | 1M tokens | 1.1M tokens |
| Max output | 384K tokens | 128K 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 | OpenAI Inc. |
Questions people ask
Is deepseek-v4-flash better than gpt-5.4?
gpt-5.4 outperforms deepseek-v4-flash on 6 of 7 shared benchmarks. See the benchmark comparison above for specifics: deepseek-v4-flash and gpt-5.4 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, deepseek-v4-flash or gpt-5.4?
deepseek-v4-flash is cheaper. deepseek-v4-flash costs $0.14/$0.28 per 1M input/output tokens, while gpt-5.4 costs $2.50/$15.00.
Can I use deepseek-v4-flash and gpt-5.4 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" and "openai/gpt-5.4", no other code changes needed.
What are the context windows?
deepseek-v4-flash supports up to 1M tokens of context. gpt-5.4 supports up to 1.1M 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 deepseek-v4-flash and gpt-5.4 with one line of code
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