Seed 2.0 Mini vs Gemma 4 31B

At a Glance

Compare
Seed 2.0 MiniByteDance Seed
Gemma 4 31BGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.10Openrouter · Sep 22, 2026$0.090Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokens$0.40Openrouter · Sep 22, 2026$0.34Openrouter · Sep 22, 2026
Context windowMaximum documented tokensNot reported262K
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 →

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

FieldSeed 2.0 MiniGemma 4 31B
DeveloperByteDance SeedGoogle DeepMind
FamilySeed 2 0Gemma 4
ModelSeed 2.0 MiniGemma 4 31B
VersionSeed 2.0 MiniGemma 4 31B
Lifecycleactiveactive
Released2026-02-142026-03-11
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, VideoText, Image
Output modalitiesTextText
Context windowUnknown262K
Total parametersUnknown31B
Active parametersUnknownUnknown
LicenseUnknownapache-2.0
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessOpenrouter (Standard)Cerebras (Standard), Deepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitiesagents, chat, generation, reasoning, structured_outputs, toolschat, generation, reasoning, structured_outputs, tools

Seed 2.0 Mini Capabilities

agentschatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDbytedance-seed/seed-2.0-mini

Gemma 4 31B Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Seed 2.0 Mini vs Gemma 4 31B FAQs

Is Seed 2.0 Mini or Gemma 4 31B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Seed 2.0 Mini and Gemma 4 31B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Seed 2.0 Mini or Gemma 4 31B?+

Seed 2.0 Mini is $0.10 and Gemma 4 31B is $0.090 per million tokens, so Gemma 4 31B is cheaper on this metric. Seed 2.0 Mini is $0.40 and Gemma 4 31B is $0.34 per million tokens, so Gemma 4 31B is cheaper on this metric.

Which has a larger context window, Seed 2.0 Mini or Gemma 4 31B?+

Neither model has a larger sourced context window in this comparison. Seed 2.0 Mini is — and Gemma 4 31B is 262K.

Which performs better in benchmarks, Seed 2.0 Mini 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 Seed 2.0 Mini or Gemma 4 31B be self-hosted?+

Gemma 4 31B is the only model in this pair currently marked as self-hostable. Seed 2.0 Mini is not marked open weight; Gemma 4 31B is open weight.

Can Seed 2.0 Mini and Gemma 4 31B understand images?+

Seed 2.0 Mini is 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, Seed 2.0 Mini or Gemma 4 31B?+

Neither has a larger sourced maximum output. Seed 2.0 Mini is — and Gemma 4 31B is —.

Do Seed 2.0 Mini and Gemma 4 31B support reasoning and tool use?+

Seed 2.0 Mini: reasoning, tool calling, and image input. Gemma 4 31B: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Seed 2.0 Mini or Gemma 4 31B?+

Seed 2.0 Mini has 1 sourced provider route; Gemma 4 31B has 5, so Gemma 4 31B has broader tracked availability.

Which offers better value, Seed 2.0 Mini 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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