DeepSeek-V4-Flash-0731
Chat comparison
DeepSeek-V4-Flash-0731vsgpt-5.6-sol
Compare the things that matter before you build: current price, capabilities, and latest aggregated LLM7 statistics.
Current pricing
See the cost difference clearly
gpt-5.6-sol
What's different
Only capabilities that differ between these models are listed. Green highlights the broader supported option or larger context window.
Context window
DeepSeek-V4-Flash-0731
400,000 tokens
gpt-5.6-solBetter fit
1,000,000 tokens
Input formats
DeepSeek-V4-Flash-0731
text
gpt-5.6-sol
text, image
Vision
DeepSeek-V4-Flash-0731
Not supported
gpt-5.6-solBetter fit
Supported
Latest LLM7 statistics
Recent aggregated percentages and response-time metrics from LLM7, not a global model benchmark or traffic disclosure.
Recent stability
DeepSeek-V4-Flash-0731
62.05%
gpt-5.6-sol
91.47%
Average response time
DeepSeek-V4-Flash-0731
46,536.19 ms
gpt-5.6-sol
32,460.11 ms
P95 API latency
DeepSeek-V4-Flash-0731
60,000 ms
gpt-5.6-sol
60,000 ms
Side-by-side trends
Shared charts make the observed differences easier to read. Metrics without enough history stay hidden.
Request success rate
Both models on the same scale
Average API latency
Both models on the same scale
P95 API latency
Both models on the same scale
Estimate your workload
Published rates are loaded from the pricing API; per-request quotes are billed from actual provider usage.
Quick take
- gpt-5.6-sol has a larger context window.
- gpt-5.6-sol supports image input while the other model does not.
- gpt-5.6-sol recorded higher recent LLM7 stability during this period.