Qwen3.8 2.4T A95B vs Llama 4 Scout 17B 16E

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$2.00Deepinfra · Sep 23, 2026Not reported
Output priceFrom · USD / 1M tokens$6.00Deepinfra · Sep 23, 2026Not reported
Context windowMaximum documented tokens262K10,000K
Model facts checkedAug 28, 2026View model evidence →Aug 28, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldQwen3.8-2.4T-A95BLlama-4-Scout-17B-16E
DeveloperQwenMeta
FamilyQwen3 8 2 4t A95bLlama 4 Scout 17b 16e
ModelQwen3.8-2.4T-A95BLlama-4-Scout-17B-16E
VersionQwen3.8-2.4T-A95BLlama-4-Scout-17B-16E
Lifecycleactiveactive
ReleasedUnknown2025-04-05
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesTextText
Context window262K10,000K
Total parameters2.4T108.6B
Active parameters95B17B
Licenseotherother
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Together Ai (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, tools

Qwen3.8 2.4T A95B Capabilities

chatgenerationreasoningtools
Serving providers5
Canonical IDQwen/Qwen3.8-2.4T-A95B

Llama 4 Scout 17B 16E Capabilities

chatgenerationtools
Serving providers1
Canonical IDmeta-llama/Llama-4-Scout-17B-16E

Primary Evidence

Sources and Freshness

Questions

Qwen3.8 2.4T A95B vs Llama 4 Scout 17B 16E FAQs

Is Qwen3.8 2.4T A95B or Llama 4 Scout 17B 16E better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 2.4T A95B and Llama 4 Scout 17B 16E, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.8 2.4T A95B or Llama 4 Scout 17B 16E?+

Only Qwen3.8 2.4T A95B has a directly sourced input price: $2.00 per million tokens. Only Qwen3.8 2.4T A95B has a directly sourced output price: $6.00 per million tokens.

Which has a larger context window, Qwen3.8 2.4T A95B or Llama 4 Scout 17B 16E?+

Llama 4 Scout 17B 16E has the larger sourced context window. Qwen3.8 2.4T A95B supports 262K and Llama 4 Scout 17B 16E supports 10,000K.

Which performs better in benchmarks, Qwen3.8 2.4T A95B or Llama 4 Scout 17B 16E?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Qwen3.8 2.4T A95B or Llama 4 Scout 17B 16E be self-hosted?+

Both models have the same recorded self-hosting status: supported. Qwen3.8 2.4T A95B is open weight; Llama 4 Scout 17B 16E is open weight.

Can Qwen3.8 2.4T A95B and Llama 4 Scout 17B 16E understand images?+

Qwen3.8 2.4T A95B is not documented with image input; Llama 4 Scout 17B 16E is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3.8 2.4T A95B or Llama 4 Scout 17B 16E?+

Neither has a larger sourced maximum output. Qwen3.8 2.4T A95B is — and Llama 4 Scout 17B 16E is —.

Do Qwen3.8 2.4T A95B and Llama 4 Scout 17B 16E support reasoning and tool use?+

Qwen3.8 2.4T A95B: reasoning and tool calling. Llama 4 Scout 17B 16E: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.8 2.4T A95B or Llama 4 Scout 17B 16E?+

Qwen3.8 2.4T A95B has 5 sourced provider routes; Llama 4 Scout 17B 16E has 1, so Qwen3.8 2.4T A95B has broader tracked availability.

Which offers better value, Qwen3.8 2.4T A95B or Llama 4 Scout 17B 16E?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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