Qwen3 Embedding 8B vs Gemini 2.5 Pro

At a Glance

Compare
Gemini 2.5 ProGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.010Deepinfra · Sep 22, 2026$1.25Google AI · Aug 29, 2026
Output priceFrom · USD / 1M tokensNot reported$10.00Google AI · Aug 29, 2026
Context windowMaximum documented tokens33K1,049K
Model facts checkedSep 3, 2026View model evidence →Aug 29, 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 8BGemini 2.5 Pro
DeveloperQwenGoogle DeepMind
FamilyQwen3 EmbeddingGemini 2 5
ModelQwen3 Embedding 8BGemini 2.5 Pro
VersionQwen3 Embedding 8BGemini 2.5 Pro
Lifecycleactiveactive
Released2025-06-03Unknown
Knowledge cutoffUnknown2025-01-01
Input modalitiesTextText, Image, Video, Audio, Document
Output modalitiesEmbeddingText
Context window33K1,049K
Total parameters8BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Fireworks Ai (Standard)Google AI (Standard), Google Gemini (Standard)
Capabilitiesembeddings, multilingual, retrievalchat, generation, reasoning, tools

Qwen3 Embedding 8B Capabilities

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

Gemini 2.5 Pro Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-2.5-pro

Primary Evidence

Sources and Freshness

Questions

Qwen3 Embedding 8B vs Gemini 2.5 Pro FAQs

Is Qwen3 Embedding 8B or Gemini 2.5 Pro better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3 Embedding 8B and Gemini 2.5 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3 Embedding 8B or Gemini 2.5 Pro?+

Qwen3 Embedding 8B is $0.010 and Gemini 2.5 Pro is $1.25 per million tokens, so Qwen3 Embedding 8B is cheaper on this metric. Only Gemini 2.5 Pro has a directly sourced output price: $10.00 per million tokens.

Which has a larger context window, Qwen3 Embedding 8B or Gemini 2.5 Pro?+

Gemini 2.5 Pro has the larger sourced context window. Qwen3 Embedding 8B supports 33K and Gemini 2.5 Pro supports 1,049K.

Which performs better in benchmarks, Qwen3 Embedding 8B or Gemini 2.5 Pro?+

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 Gemini 2.5 Pro be self-hosted?+

Qwen3 Embedding 8B is the only model in this pair currently marked as self-hostable. Qwen3 Embedding 8B is open weight; Gemini 2.5 Pro is not marked open weight.

Can Qwen3 Embedding 8B and Gemini 2.5 Pro understand images?+

Qwen3 Embedding 8B is not documented with image input; Gemini 2.5 Pro is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3 Embedding 8B or Gemini 2.5 Pro?+

Neither has a larger sourced maximum output. Qwen3 Embedding 8B is — and Gemini 2.5 Pro is 66K.

Do Qwen3 Embedding 8B and Gemini 2.5 Pro support reasoning and tool use?+

Qwen3 Embedding 8B: none of these features are definitively sourced. Gemini 2.5 Pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3 Embedding 8B or Gemini 2.5 Pro?+

Qwen3 Embedding 8B has 2 sourced provider routes; Gemini 2.5 Pro has 2, a tie.

Which offers better value, Qwen3 Embedding 8B or Gemini 2.5 Pro?+

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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