Qwen3 Embedding 8B vs Muse Spark 1.1

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$0.010Deepinfra · Sep 23, 2026Not reported
Context windowMaximum documented tokens33K1,000K
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 Embedding 8BMuse Spark 1.1
DeveloperQwenMeta
FamilyQwen3 EmbeddingMuse Spark
ModelQwen3 Embedding 8BMuse Spark 1.1
VersionQwen3 Embedding 8BMuse Spark 1.1
Lifecycleactivepreview
Released2025-06-032026-07-09
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video, Audio
Output modalitiesEmbeddingText
Context window33K1,000K
Total parameters8BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Fireworks Ai (Standard)Unknown
Capabilitiesembeddings, multilingual, retrievalchat, computer-use, generation, reasoning, research, structured_outputs, tools

Qwen3 Embedding 8B Capabilities

embeddingsmultilingualretrieval
Serving providers2
Canonical IDQwen/Qwen3-Embedding-8B

Muse Spark 1.1 Capabilities

chatcomputer-usegenerationreasoningresearchstructured outputstools
Serving providers0
Canonical IDmeta-llama/muse-spark-1.1

Primary Evidence

Sources and Freshness

Questions

Qwen3 Embedding 8B vs Muse Spark 1.1 FAQs

Is Qwen3 Embedding 8B or Muse Spark 1.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3 Embedding 8B and Muse Spark 1.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3 Embedding 8B or Muse Spark 1.1?+

Only Qwen3 Embedding 8B has a directly sourced input price: $0.010 per million tokens. Neither model has a directly sourced output price in this comparison.

Which has a larger context window, Qwen3 Embedding 8B or Muse Spark 1.1?+

Muse Spark 1.1 has the larger sourced context window. Qwen3 Embedding 8B supports 33K and Muse Spark 1.1 supports 1,000K.

Which performs better in benchmarks, Qwen3 Embedding 8B or Muse Spark 1.1?+

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

Can Qwen3 Embedding 8B or Muse Spark 1.1 be self-hosted?+

Qwen3 Embedding 8B is the only model in this pair currently marked as self-hostable. Qwen3 Embedding 8B is open weight; Muse Spark 1.1 is not marked open weight.

Can Qwen3 Embedding 8B and Muse Spark 1.1 understand images?+

Qwen3 Embedding 8B is not documented with image input; Muse Spark 1.1 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3 Embedding 8B or Muse Spark 1.1?+

Neither has a larger sourced maximum output. Qwen3 Embedding 8B is — and Muse Spark 1.1 is —.

Do Qwen3 Embedding 8B and Muse Spark 1.1 support reasoning and tool use?+

Qwen3 Embedding 8B: none of these features are definitively sourced. Muse Spark 1.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3 Embedding 8B or Muse Spark 1.1?+

Qwen3 Embedding 8B has 2 sourced provider routes; Muse Spark 1.1 has 0, so Qwen3 Embedding 8B has broader tracked availability.

Which offers better value, Qwen3 Embedding 8B or Muse Spark 1.1?+

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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