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Llama 4 Scout vs Qwen3.8 Max Preview

Compare Llama 4 Scout from Llama and Qwen3.8 Max Preview from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

LlamaLlama 4 ScoutQwenQwen3.8 Max Preview
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Llama logo
Llama 4 Scout
Llama · text, image → text

Llama 4 Scout is a highly efficient Mixture-of-Experts (MoE) model from Meta, activating 17B out of 109B total parameters per inference. It natively supports multimodal input (text and image) and multilingual output (text and code) across 12 languages. Designed for assistant-style interaction and visual reasoning, Scout features a massive 10-million-token context window. It is instruction-tuned for tasks like multilingual chat and image understanding and is released under the Llama 4 Community License for local or commercial deployment.

Input$0.20 /M
Output$0.20 /M
Details
Qwen logo
Qwen3.8 Max Preview
Qwen · text, image → text

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.

Input$0.34 /M
Output$1.01 /M
Details

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

Llama 4 Scout
Qwen3.8 Max Preview
Input /M
$0.20
$0.34
Output /M
$0.20
$1.01
Cache read /M
$0.20
$0.03
Context length
131,000
983,616
Max output
131,000
131,072
Time to First Token
0.3 s
2.4 s
Throughput
2637.0 tok/s
48.1 tok/s
Modalities
textimage
textimage
Supported Parameters
toolsfunction callingstructured outputs
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
-
-

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.

llama-4-scoutqwen3.8-max-preview

Tokens / day

-

Requests / day

-

Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

llama-4-scoutqwen3.8-max-preview

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
llama-4-scoutqwen3.8-max-preview
12601340142015001580
Overall
13231481
Coding
13621520
Math
13091504
Hard prompts
13301506
Instruction following
13001478
Multi-turn
13201496
Creative writing
12901469
Longer query
13271497
Chinese
13151545
English
13411486
Vision
llama-4-scoutqwen3.8-max-preview
1100118012601340
Overall
11281302
OCR
11291317
Diagram
11471331
Homework
11491335

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.

Llama 4 Scout
$15.00 /mo
Qwen3.8 Max Preview
$35.49 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: Llama 4 Scout, Qwen3.8 Max Preview?

Llama 4 Scout: $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: 1520; Llama 4 Scout: 1362 (LMArena coding leaderboard).

Which responds faster?

Llama 4 Scout: 0.3s 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 Scout accepts 131,000 and Qwen3.8 Max Preview accepts 983,616 input tokens. Maximum output per request is 131,000 tokens on Llama 4 Scout and 131,072 tokens on Qwen3.8 Max Preview.

Which one generates tokens faster?

Llama 4 Scout at 2637.0 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 Scout 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 Scout 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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