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anthropic/claude-opus-4-8vsdeepseek-v4-flash:0731

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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

anthropic/claude-opus-4-8

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deepseek-v4-flash:0731

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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

anthropic/claude-opus-4-8

text, image, json

deepseek-v4-flash:0731

text

Vision

anthropic/claude-opus-4-8Better fit

Supported

deepseek-v4-flash:0731

Not supported

Latest LLM7 statistics

Recent aggregated percentages and response-time metrics from LLM7, not a global model benchmark or traffic disclosure.

Recent stability

anthropic/claude-opus-4-8

100%

deepseek-v4-flash:0731

99.84%

Average response time

anthropic/claude-opus-4-8

3,123.57 ms

deepseek-v4-flash:0731

10,703.02 ms

P95 API latency

anthropic/claude-opus-4-8

10,000 ms

deepseek-v4-flash:0731

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

anthropic/claude-opus-4-8: 100%deepseek-v4-flash:0731: 99.1%
17 Sept30 Sept

Average API latency

Both models on the same scale

anthropic/claude-opus-4-8: 3,231 msdeepseek-v4-flash:0731: 10,088 ms
17 Sept30 Sept

P95 API latency

Both models on the same scale

anthropic/claude-opus-4-8: 10,000 msdeepseek-v4-flash:0731: 60,000 ms
17 Sept30 Sept

Estimate your workload

Published rates are loaded from the pricing API; per-request quotes are billed from actual provider usage.

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Checking current pricing…

Quick take

  • anthropic/claude-opus-4-8 supports image input while the other model does not.

Keep exploring