Qwen3 Reranker 8B vs Claude Mythos 5.1

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$10.00Anthropic · Sep 2, 2026
Output priceFrom · USD / 1M tokensNot reported$50.00Anthropic · Sep 2, 2026
Context windowMaximum documented tokens33K1,000K
Model facts checkedSep 3, 2026View model evidence →Sep 2, 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 8BClaude Mythos 5.1
DeveloperQwenAnthropic
FamilyQwen3 RerankerClaude 5 1
ModelQwen3 Reranker 8BClaude Mythos 5.1
VersionQwen3 Reranker 8BClaude Mythos 5.1
Lifecycleactiveactive
Released2025-05-292026-09-01
Knowledge cutoffUnknown2026-06-01
Input modalitiesTextText, Image
Output modalitiesUnknownText
Context window33K1,000K
Total parameters8BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessFireworks Ai (Standard)Anthropic (Project Glasswing)
Capabilitiesmultilingual, reranking, retrievalchat, generation, reasoning, tools

Qwen3 Reranker 8B Capabilities

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

Claude Mythos 5.1 Capabilities

chatgenerationreasoningtools
Serving providers1
Canonical IDanthropic/claude-mythos-5-1

Primary Evidence

Sources and Freshness

Questions

Qwen3 Reranker 8B vs Claude Mythos 5.1 FAQs

Is Qwen3 Reranker 8B or Claude Mythos 5.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3 Reranker 8B and Claude Mythos 5.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3 Reranker 8B or Claude Mythos 5.1?+

Only Claude Mythos 5.1 has a directly sourced input price: $10.00 per million tokens. Only Claude Mythos 5.1 has a directly sourced output price: $50.00 per million tokens.

Which has a larger context window, Qwen3 Reranker 8B or Claude Mythos 5.1?+

Claude Mythos 5.1 has the larger sourced context window. Qwen3 Reranker 8B supports 33K and Claude Mythos 5.1 supports 1,000K.

Which performs better in benchmarks, Qwen3 Reranker 8B or Claude Mythos 5.1?+

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 Claude Mythos 5.1 be self-hosted?+

Qwen3 Reranker 8B is the only model in this pair currently marked as self-hostable. Qwen3 Reranker 8B is open weight; Claude Mythos 5.1 is not marked open weight.

Can Qwen3 Reranker 8B and Claude Mythos 5.1 understand images?+

Qwen3 Reranker 8B is not documented with image input; Claude Mythos 5.1 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3 Reranker 8B or Claude Mythos 5.1?+

Neither has a larger sourced maximum output. Qwen3 Reranker 8B is — and Claude Mythos 5.1 is 128K.

Do Qwen3 Reranker 8B and Claude Mythos 5.1 support reasoning and tool use?+

Qwen3 Reranker 8B: none of these features are definitively sourced. Claude Mythos 5.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3 Reranker 8B or Claude Mythos 5.1?+

Qwen3 Reranker 8B has 1 sourced provider route; Claude Mythos 5.1 has 1, a tie.

Which offers better value, Qwen3 Reranker 8B or Claude Mythos 5.1?+

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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