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Deepinfra Llama 4 Scout 17B 16e Instruct vs Qwen3.8 Max

Compare Deepinfra Llama 4 Scout 17B 16e Instruct from Llama and Qwen3.8 Max 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.

LlamaDeepinfra Llama 4 Scout 17B 16e InstructQwenQwen3.8 Max
Llama logo
Deepinfra Llama 4 Scout 17B 16e Instruct
Llama · → text

Input$0.088 /M
Output$0.33 /M
Qwen logo
Qwen3.8 Max
Qwen · text, image, video → text

Qwen3.8-Max is Alibaba Cloud Tongyi Qianwen's next-generation flagship large language model, featuring a mixture-of-experts (MoE) architecture with 2.4 trillion parameters. It achieves another breakthrough in encoding depth, enabling it to handle more complex engineering-grade projects and long-term autonomous development; collaborative agent capabilities are significantly enhanced, performing more confidently in multi-tool orchestration and end-to-end delivery; visual understanding is comprehensively improved, with more sensitive and accurate chart reasoning, document parsing, and multimodal perception. Continuing the 1-million-context window, reasoning modes, and a complete tool ecosystem, it continues to evolve at a higher level of intelligence.

Input$1.69 /M
Output$5.07 /M
Cache read$0.169 /M

Pricing & Specifications

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

Deepinfra Llama 4 Scout 17B 16e Instruct
Qwen3.8 Max
Input /M
$0.088
$1.69
Output /M
$0.33
$5.07
Cache read /M
-
$0.169
Context length
0
1,000,000
Max output
0
131,072
Time to First Token
1.2 s
12.5 s
Throughput
18.4 tok/s
28.4 tok/s
Modalities
textimagevideo
Supported Parameters
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
-
August 3, 2026

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.

deepinfra-llama-4-scout-17b-16e-instructqwen3.8-max

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

deepinfra-llama-4-scout-17b-16e-instructqwen3.8-max

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

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LMArena Benchmarks

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

Text
deepinfra-llama-4-scout-17b-16e-instructqwen3.8-max
12601320138014401500
Overall
13231482
Coding
13621362
Math
13091309
Hard prompts
13301330
Instruction following
13011301
Multi-turn
13211321
Creative writing
12901290
Longer query
13271327
Chinese
13151315
English
13411341
Vision
deepinfra-llama-4-scout-17b-16e-instructqwen3.8-max
1100116012201280
Overall
11281301
OCR
11291129
Diagram
11461146
Homework
11491149

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.

Deepinfra Llama 4 Scout 17B 16e Instruct
$10.23 /mo
Qwen3.8 Max
$177 /mo

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

FAQ

Which is cheaper: Deepinfra Llama 4 Scout 17B 16e Instruct, Qwen3.8 Max?

Deepinfra Llama 4 Scout 17B 16e Instruct: $0.33/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

Deepinfra Llama 4 Scout 17B 16e Instruct: 1.2s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

Which one generates tokens faster?

Qwen3.8 Max at 28.4 tok/s and Deepinfra Llama 4 Scout 17B 16e Instruct at 18.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

Can I call Deepinfra Llama 4 Scout 17B 16e Instruct 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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