Qwen3 Reranker 8B vs Llama 3.1 8B Instruct

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.050Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$0.080Openrouter · Sep 22, 2026
Context windowMaximum documented tokens33K131K
Model facts checkedSep 3, 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 →

Different Model RolesThese models do not share a sourced market category. Their primary-source facts remain comparable below, while performance claims require matched evidence.

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 Reranker 8BLlama-3.1-8B-Instruct
DeveloperQwenMeta
FamilyQwen3 RerankerLlama 3 1 8b Instruct
ModelQwen3 Reranker 8BLlama-3.1-8B-Instruct
VersionQwen3 Reranker 8BLlama-3.1-8B-Instruct
Lifecycleactiveactive
Released2025-05-292024-07-23
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesUnknownText
Context window33K131K
Total parameters8B8B
Active parametersUnknownUnknown
Licenseapache-2.0llama3.1
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessFireworks Ai (Standard)Hugging Face (Standard), Openrouter (Standard)
Capabilitiesmultilingual, reranking, retrievalchat, generation, tools

Qwen3 Reranker 8B Capabilities

multilingualrerankingretrieval
Serving providers1
Canonical IDQwen/Qwen3-Reranker-8B

Llama 3.1 8B Instruct Capabilities

chatgenerationtools
Serving providers2
Canonical IDmeta-llama/Llama-3.1-8B-Instruct

Primary Evidence

Sources and Freshness

Questions

Qwen3 Reranker 8B vs Llama 3.1 8B Instruct FAQs

Is Qwen3 Reranker 8B or Llama 3.1 8B Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3 Reranker 8B and Llama 3.1 8B Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3 Reranker 8B or Llama 3.1 8B Instruct?+

Only Llama 3.1 8B Instruct has a directly sourced input price: $0.050 per million tokens. Only Llama 3.1 8B Instruct has a directly sourced output price: $0.080 per million tokens.

Which has a larger context window, Qwen3 Reranker 8B or Llama 3.1 8B Instruct?+

Llama 3.1 8B Instruct has the larger sourced context window. Qwen3 Reranker 8B supports 33K and Llama 3.1 8B Instruct supports 131K.

Which performs better in benchmarks, Qwen3 Reranker 8B or Llama 3.1 8B Instruct?+

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

Can Qwen3 Reranker 8B or Llama 3.1 8B Instruct be self-hosted?+

Both models have the same recorded self-hosting status: supported. Qwen3 Reranker 8B is open weight; Llama 3.1 8B Instruct is open weight.

Can Qwen3 Reranker 8B and Llama 3.1 8B Instruct understand images?+

Qwen3 Reranker 8B is not documented with image input; Llama 3.1 8B Instruct is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3 Reranker 8B or Llama 3.1 8B Instruct?+

Neither has a larger sourced maximum output. Qwen3 Reranker 8B is — and Llama 3.1 8B Instruct is —.

Do Qwen3 Reranker 8B and Llama 3.1 8B Instruct support reasoning and tool use?+

Qwen3 Reranker 8B: none of these features are definitively sourced. Llama 3.1 8B Instruct: tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3 Reranker 8B or Llama 3.1 8B Instruct?+

Qwen3 Reranker 8B has 1 sourced provider route; Llama 3.1 8B Instruct has 2, so Llama 3.1 8B Instruct has broader tracked availability.

Which offers better value, Qwen3 Reranker 8B or Llama 3.1 8B Instruct?+

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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