Qwen3 Reranker 8B vs Gemma 4 31B

At a Glance

Compare
Gemma 4 31BGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.090Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$0.34Openrouter · Sep 22, 2026
Context windowMaximum documented tokens33K262K
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 8BGemma 4 31B
DeveloperQwenGoogle DeepMind
FamilyQwen3 RerankerGemma 4
ModelQwen3 Reranker 8BGemma 4 31B
VersionQwen3 Reranker 8BGemma 4 31B
Lifecycleactiveactive
Released2025-05-292026-03-11
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesUnknownText
Context window33K262K
Total parameters8B31B
Active parametersUnknownUnknown
Licenseapache-2.0apache-2.0
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessFireworks Ai (Standard)Cerebras (Standard), Deepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitiesmultilingual, reranking, retrievalchat, generation, reasoning, structured_outputs, tools

Qwen3 Reranker 8B Capabilities

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

Gemma 4 31B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers5
Canonical IDgoogle/gemma-4-31B-it

Primary Evidence

Sources and Freshness

Questions

Qwen3 Reranker 8B vs Gemma 4 31B FAQs

Is Qwen3 Reranker 8B or Gemma 4 31B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3 Reranker 8B and Gemma 4 31B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3 Reranker 8B or Gemma 4 31B?+

Only Gemma 4 31B has a directly sourced input price: $0.090 per million tokens. Only Gemma 4 31B has a directly sourced output price: $0.34 per million tokens.

Which has a larger context window, Qwen3 Reranker 8B or Gemma 4 31B?+

Gemma 4 31B has the larger sourced context window. Qwen3 Reranker 8B supports 33K and Gemma 4 31B supports 262K.

Which performs better in benchmarks, Qwen3 Reranker 8B or Gemma 4 31B?+

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 Gemma 4 31B be self-hosted?+

Both models have the same recorded self-hosting status: supported. Qwen3 Reranker 8B is open weight; Gemma 4 31B is open weight.

Can Qwen3 Reranker 8B and Gemma 4 31B understand images?+

Qwen3 Reranker 8B is not documented with image input; Gemma 4 31B is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3 Reranker 8B or Gemma 4 31B?+

Neither has a larger sourced maximum output. Qwen3 Reranker 8B is — and Gemma 4 31B is —.

Do Qwen3 Reranker 8B and Gemma 4 31B support reasoning and tool use?+

Qwen3 Reranker 8B: none of these features are definitively sourced. Gemma 4 31B: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3 Reranker 8B or Gemma 4 31B?+

Qwen3 Reranker 8B has 1 sourced provider route; Gemma 4 31B has 5, so Gemma 4 31B has broader tracked availability.

Which offers better value, Qwen3 Reranker 8B or Gemma 4 31B?+

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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