Qwen3 Reranker 8B vs Grok Build 0.1

At a Glance

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Intelligence, Cost, and Efficiency
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#1 of 44$0.0020 per LiveBench case
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$1.00Xai · Sep 3, 2026
Output priceFrom · USD / 1M tokensNot reported$2.00Xai · Sep 3, 2026
Context windowMaximum documented tokens33K256K
Model facts checkedSep 3, 2026View model evidence →Sep 3, 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 8BGrok Build 0.1
DeveloperQwenxAI
FamilyQwen3 RerankerGrok Build
ModelQwen3 Reranker 8BGrok Build 0.1
VersionQwen3 Reranker 8BGrok Build 0.1
Lifecycleactivepreview
Released2025-05-292026-05-29
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesUnknownText
Context window33K256K
Total parameters8BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessFireworks Ai (Standard)Xai (Standard)
Capabilitiesmultilingual, reranking, retrievalchat, generation, reasoning, structured_outputs, tools

Qwen3 Reranker 8B Capabilities

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

Grok Build 0.1 Capabilities

chatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDxai/grok-build-0.1

Primary Evidence

Sources and Freshness

Questions

Qwen3 Reranker 8B vs Grok Build 0.1 FAQs

Is Qwen3 Reranker 8B or Grok Build 0.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3 Reranker 8B and Grok Build 0.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3 Reranker 8B or Grok Build 0.1?+

Only Grok Build 0.1 has a directly sourced input price: $1.00 per million tokens. Only Grok Build 0.1 has a directly sourced output price: $2.00 per million tokens.

Which has a larger context window, Qwen3 Reranker 8B or Grok Build 0.1?+

Grok Build 0.1 has the larger sourced context window. Qwen3 Reranker 8B supports 33K and Grok Build 0.1 supports 256K.

Which performs better in benchmarks, Qwen3 Reranker 8B or Grok Build 0.1?+

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 Grok Build 0.1 be self-hosted?+

Qwen3 Reranker 8B is the only model in this pair currently marked as self-hostable. Qwen3 Reranker 8B is open weight; Grok Build 0.1 is not marked open weight.

Can Qwen3 Reranker 8B and Grok Build 0.1 understand images?+

Qwen3 Reranker 8B is not documented with image input; Grok Build 0.1 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3 Reranker 8B or Grok Build 0.1?+

Neither has a larger sourced maximum output. Qwen3 Reranker 8B is — and Grok Build 0.1 is —.

Do Qwen3 Reranker 8B and Grok Build 0.1 support reasoning and tool use?+

Qwen3 Reranker 8B: none of these features are definitively sourced. Grok Build 0.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3 Reranker 8B or Grok Build 0.1?+

Qwen3 Reranker 8B has 1 sourced provider route; Grok Build 0.1 has 1, a tie.

Which offers better value, Qwen3 Reranker 8B or Grok Build 0.1?+

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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