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DeepSeek-V4-Flash-0731vsgpt-5.6-sol

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Compare the things that matter before you build: current price, capabilities, and latest aggregated LLM7 statistics.

Current pricing

See the cost difference clearly

DeepSeek-V4-Flash-0731

Checking current pricing…

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

DeepSeek-V4-Flash-0731: 67.9%gpt-5.6-sol: 100%
12 Sept30 Sept

Average API latency

Both models on the same scale

DeepSeek-V4-Flash-0731: 41,575 msgpt-5.6-sol: 15,455 ms
12 Sept30 Sept

P95 API latency

Both models on the same scale

DeepSeek-V4-Flash-0731: 60,000 msgpt-5.6-sol: 60,000 ms
12 Sept30 Sept

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-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.

Keep exploring