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 qwen3.8-max
Output tokens cost $25.00 per million on claude-opus-5 and $5.07 per million on qwen3.8-max. Input tokens cost $5.00 per million on claude-opus-5 and $1.69 per million on qwen3.8-max. Cached input tokens are billed at $0.50 per million on claude-opus-5 and $0.17 per million on qwen3.8-max. Context windows are 1,000,000 tokens on claude-opus-5 and 991,000 tokens on qwen3.8-max. First-token latency measured on AIHubMix is 1.4s on claude-opus-5 and 3.5s on qwen3.8-max. Measured output throughput is 56.7 tokens/s on claude-opus-5 and 37.1 tokens/s on qwen3.8-max. On the LMArena coding leaderboard claude-opus-5 scores 1532 and qwen3.8-max scores 1530.
Qwen 3.8 Max(qwen3.8-max) is Alibaba Cloud’s flagship native vision-language model, built on a 2.4-trillion-parameter Mixture-of-Experts (MoE) architecture and supporting context windows of up to 1 million tokens. It is well suited for complex multimodal understanding, advanced reasoning, software development, agentic workflows, and long-context processing. At a similar price to Qwen3.7-Max, Qwen3.8-Max delivers significant improvements in reasoning, coding, and agent capabilities, with overall performance comparable to today’s leading models.
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 (%)
Arena Scores
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-5, qwen3.8-max?
qwen3.8-max: $5.07/M output tokens; claude-opus-5: $25.00/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
claude-opus-5: 1532; qwen3.8-max: 1530 (LMArena coding leaderboard).
Which responds faster?
claude-opus-5: 1.4s 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 qwen3.8-max accepts 991,000 input tokens. Maximum output per request is 128,000 tokens on claude-opus-5 and 128,000 tokens on qwen3.8-max.
Which one generates tokens faster?
claude-opus-5 at 56.7 tokens/s and qwen3.8-max at 37.1 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; qwen3.8-max accepts text input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
Can I call claude-opus-5 and qwen3.8-max 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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