Output tokens cost $25.00 per million on Claude Opus 4.7 Thinking and $1.01 per million on Qwen3.8 Max Preview. Input tokens cost $5.00 per million on Claude Opus 4.7 Thinking and $0.34 per million on Qwen3.8 Max Preview. Cached input tokens are billed at $0.50 per million on Claude Opus 4.7 Thinking and $0.03 per million on Qwen3.8 Max Preview. Context lengths are 200,000 tokens on Claude Opus 4.7 Thinking and 983,616 tokens on Qwen3.8 Max Preview. Time to first token (TTFT) measured on AIHubMix is 1.6s on Claude Opus 4.7 Thinking and 2.4s on Qwen3.8 Max Preview. Measured output throughput is 89.2 tok/s on Claude Opus 4.7 Thinking and 48.1 tok/s on Qwen3.8 Max Preview. On the LMArena coding leaderboard Claude Opus 4.7 Thinking scores 1547 and Qwen3.8 Max Preview scores 1520.
Claude Opus 4.7 Thinking
Qwen3.8 Max PreviewThe claude-opus-4-7-think model has adaptive thinking mode pre-enabled; the default thinking intensity is "medium", and it can be invoked directly via the OpenAI unified API. The claude-opus-4-7 model does not display thinking content by default; you need to set the extra parameter "display": "summarized" to enable it.
Qwen 3.8 Max Preview(Qwen3.8-Max-Preview) is the latest-generation foundation model in the Qwen family, packing 2.4T parameters and still evolving. Compared with the previous flagship Qwen 3.7 Max, it delivers major gains in core capabilities like Coding and Cowork (professional productivity), with world-leading performance on complex, long-horizon tasks such as full-stack development, data analysis, and Office workflows. Launch offer: Credits are consumed at just 20% of the standard rate, effectively 5× your usage. Limited time only.
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.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
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.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Qwen3.8 Max Preview: $1.01/M output tokens; Claude Opus 4.7 Thinking: $25.00/M. Use the cost calculator above to estimate your own workload.
Claude Opus 4.7 Thinking: 1547; Qwen3.8 Max Preview: 1520 (LMArena coding leaderboard).
Claude Opus 4.7 Thinking: 1.6s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Claude Opus 4.7 Thinking accepts 200,000 and Qwen3.8 Max Preview accepts 983,616 input tokens. Maximum output per request is 32,000 tokens on Claude Opus 4.7 Thinking and 131,072 tokens on Qwen3.8 Max Preview.
Claude Opus 4.7 Thinking at 89.2 tok/s and Qwen3.8 Max Preview at 48.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Claude Opus 4.7 Thinking accepts image and text input and supports thinking, tool calling, function calling and structured outputs; Qwen3.8 Max Preview accepts text and image input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
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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