Claude Opus 4.8 is Anthropic’s newest and most powerful publicly available model. It is suitable for the most complex tasks. It is Anthropic’s strongest model for complex reasoning, long-horizon agent programming, and highly autonomous work.claude-opus-4-8 does not display thought content by default; you need to set the additional parameter "display": "summarized" to enable it
Claude Opus 4.8 vs DeepSeek V3.2
Compare Claude Opus 4.8 from Anthropic and DeepSeek V3.2 from DeepSeek on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
DeepSeek-V3.2 is an efficient large language model equipped with DeepSeek Sparse Attention and reinforced reasoning performance, but its core strength lies in powerful agentic capabilities—enabled by large-scale task-synthesis that tightly integrates reasoning with real-world tool use, delivering robust, compliant, and generalizable agent behaviour. Users can toggle deeper reasoning through the reasoning_enabled switch.
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
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 4.8, DeepSeek V3.2?
DeepSeek V3.2: $0.453/M output tokens; Claude Opus 4.8: $25/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
Claude Opus 4.8: 1527; DeepSeek V3.2: 1470 (LMArena coding leaderboard).
Which responds faster?
DeepSeek V3.2: 0.7s time to first token 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 4.8 accepts 1,000,000 and DeepSeek V3.2 accepts 163,840 input tokens. Maximum output per request is 128,000 tokens on Claude Opus 4.8 and 64,000 tokens on DeepSeek V3.2.
Which one generates tokens faster?
Claude Opus 4.8 at 82.6 tok/s and DeepSeek V3.2 at 38.0 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
Claude Opus 4.8 accepts text, image and PDF input and supports thinking, tool calling, function calling and structured outputs; DeepSeek V3.2 accepts text input and supports tool calling, function calling, structured outputs and thinking.
Can I call Claude Opus 4.8 and DeepSeek V3.2 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.
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