Llama 4 Maverick is a high-capacity Mixture-of-Experts (MoE) model from Meta, featuring 400B total parameters and 128 experts, while activating an efficient 17B parameters per inference. Engineered for peak performance, it excels at advanced multimodal tasks. Maverick natively supports text and image input, producing multilingual text and code. With a 1-million-token context window and instruction tuning, it is optimized for complex image reasoning and general-purpose assistant-like interactions. Released under the Llama 4 Community License, Maverick is ideal for research and commercial applications demanding state-of-the-art multimodal understanding and high throughput.
llama-4-maverick vs qwen3.8-max-preview
Output tokens cost $0.20 per million on llama-4-maverick and $1.01 per million on qwen3.8-max-preview. Input tokens cost $0.20 per million on llama-4-maverick and $0.34 per million on qwen3.8-max-preview. Cached input tokens are billed at $0.20 per million on llama-4-maverick and $0.03 per million on qwen3.8-max-preview. Context lengths are 1,048,576 tokens on llama-4-maverick and 983,616 tokens on qwen3.8-max-preview. Time to first token (TTFT) measured on AIHubMix is 0.2s on llama-4-maverick and 2.4s on qwen3.8-max-preview. Measured output throughput is 97.8 tok/s on llama-4-maverick and 48.1 tok/s on qwen3.8-max-preview. On the LMArena coding leaderboard llama-4-maverick scores 1373 and qwen3.8-max-preview scores 1528.
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.
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: llama-4-maverick, qwen3.8-max-preview?
llama-4-maverick: $0.20/M output tokens; qwen3.8-max-preview: $1.01/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
qwen3.8-max-preview: 1528; llama-4-maverick: 1373 (LMArena coding leaderboard).
Which responds faster?
llama-4-maverick: 0.2s 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?
llama-4-maverick accepts 1,048,576 and qwen3.8-max-preview accepts 983,616 input tokens. Maximum output per request is 32,000 tokens on llama-4-maverick and 131,072 tokens on qwen3.8-max-preview.
Which one generates tokens faster?
llama-4-maverick at 97.8 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.
What inputs and capabilities does each model support?
llama-4-maverick accepts text and image input and supports 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.
Can I call llama-4-maverick and qwen3.8-max-preview 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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