Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, complex office deliverables, and coordinating parallel subagents. The model maintains strong instruction following and tool use across extended tasks, while remaining effective at lower effort settings for workloads that prioritize latency and token efficiency.
claude-opus-5 vs deepseek-v4-flash
Output tokens cost $25.00 per million on claude-opus-5 and $0.31 per million on deepseek-v4-flash. Input tokens cost $5.00 per million on claude-opus-5 and $0.15 per million on deepseek-v4-flash. Cached input tokens are billed at $0.50 per million on claude-opus-5 and $0.00 per million on deepseek-v4-flash. Context windows are 1,000,000 tokens on claude-opus-5 and 1,000,000 tokens on deepseek-v4-flash. First-token latency measured on AIHubMix is 1.4s on claude-opus-5 and 1.2s on deepseek-v4-flash. Measured output throughput is 56.7 tokens/s on claude-opus-5 and 101.3 tokens/s on deepseek-v4-flash.
DeepSeek-V4 features an ultra-long context of one million characters and achieves leading performance domestically and in the open-source domain in agent capabilities, world knowledge, and reasoning.
Specs & Pricing
Prices are per million tokens. Latency and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Usage on AIHubMix last 30 days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Live Performance last 3 days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (TPS)
Latency (s)
Uptime (%)
Cost Calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: claude-opus-5, deepseek-v4-flash?
deepseek-v4-flash: $0.31/M output tokens; claude-opus-5: $25.00/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
deepseek-v4-flash: 1.2s first-token latency measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
claude-opus-5 accepts 1,000,000 and deepseek-v4-flash accepts 1,000,000 input tokens. Maximum output per request is 128,000 tokens on claude-opus-5 and 384,000 tokens on deepseek-v4-flash.
Which one generates tokens faster?
deepseek-v4-flash at 101.3 tokens/s and claude-opus-5 at 56.7 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.
What inputs and capabilities does each model support?
claude-opus-5 accepts text and image input and supports thinking, tool calling, structured outputs, long context and web search; deepseek-v4-flash accepts text input and supports tool calling, function calling, structured outputs and thinking.
Can I call claude-opus-5 and deepseek-v4-flash with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
Popular Comparisons
Related model match-ups readers also look at.
