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.
Qwen3.8 Max Preview vs Sf Kimi K2 Thinking
Compare Qwen3.8 Max Preview from Qwen and Sf Kimi K2 Thinking from Moonshot AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
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: Qwen3.8 Max Preview, Sf Kimi K2 Thinking?
Qwen3.8 Max Preview: $1.014/M output tokens; Sf Kimi K2 Thinking: $2.192/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
Qwen3.8 Max Preview: 1520; Sf Kimi K2 Thinking: 1467 (LMArena coding leaderboard).
Which responds faster?
Sf Kimi K2 Thinking: 1.6s 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?
Qwen3.8 Max Preview accepts 1,000,000 and Sf Kimi K2 Thinking accepts 256,000 input tokens.
Which one generates tokens faster?
Qwen3.8 Max Preview at 48.1 tok/s and Sf Kimi K2 Thinking at 42.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Can I call Qwen3.8 Max Preview and Sf Kimi K2 Thinking 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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