deepseek-v4-flash:0731
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Chat comparison
deepseek-v4-flash:0731vsgpt-5.6-luna
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-luna
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What's different
Only capabilities that differ between these models are listed. Green highlights the broader supported option or larger context window.
Input formats
deepseek-v4-flash:0731
text
gpt-5.6-luna
text, image
Vision
deepseek-v4-flash:0731
Not supported
gpt-5.6-lunaBetter 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
99.75%
gpt-5.6-luna
84.05%
Average response time
deepseek-v4-flash:0731
10,827.47 ms
gpt-5.6-luna
56,301.41 ms
P95 API latency
deepseek-v4-flash:0731
60,000 ms
gpt-5.6-luna
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
deepseek-v4-flash:0731: 99.1%gpt-5.6-luna: 98.3%
Average API latency
Both models on the same scale
deepseek-v4-flash:0731: 10,088 msgpt-5.6-luna: 27,997 ms
P95 API latency
Both models on the same scale
deepseek-v4-flash:0731: 60,000 msgpt-5.6-luna: 60,000 ms
Estimate your workload
Published rates are loaded from the pricing API; per-request quotes are billed from actual provider usage.
Checking current pricing…
Checking current pricing…
Quick take
- gpt-5.6-luna supports image input while the other model does not.
- deepseek-v4-flash:0731 recorded higher recent LLM7 stability during this period.
Keep exploring
About deepseek-v4-flash:0731About gpt-5.6-lunaanthropic/claude-opus-4-6 vs deepseek-v4-flash:0731anthropic/claude-opus-4-6 vs gpt-5.6-lunaanthropic/claude-opus-4-7 vs deepseek-v4-flash:0731anthropic/claude-opus-4-7 vs gpt-5.6-lunaanthropic/claude-opus-4-8 vs deepseek-v4-flash:0731anthropic/claude-opus-4-8 vs gpt-5.6-luna