Seed 2.0 Mini vs Gemini 2.5 Pro

At a Glance

Compare
Seed 2.0 MiniByteDance Seed
Gemini 2.5 ProGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.10Openrouter ↗ · Oct 19, 2026$1.25Google AI ↗ · Aug 29, 2026
Output priceFrom · USD / 1M tokens$0.40Openrouter ↗ · Oct 19, 2026$10.00Google AI ↗ · Aug 29, 2026
Context windowMaximum documented tokensNot reported1,049K
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 →

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 MiniGemini 2.5 Pro
DeveloperByteDance SeedGoogle DeepMind
FamilySeed 2 0Gemini 2 5
ModelSeed 2.0 MiniGemini 2.5 Pro
VersionSeed 2.0 MiniGemini 2.5 Pro
Lifecycleactiveactive
Released2026-02-14Unknown
Knowledge cutoffUnknown2025-01-01
Input modalitiesText, Image, VideoText, Image, Video, Audio, Document
Output modalitiesTextText
Context windowUnknown1,049K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessOpenrouter (Standard)Google AI (Standard), Google Gemini (Standard)
Capabilitiesagents, chat, generation, reasoning, structured_outputs, toolschat, generation, reasoning, tools

Seed 2.0 Mini Capabilities

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

Gemini 2.5 Pro Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Seed 2.0 Mini vs Gemini 2.5 Pro FAQs

Is Seed 2.0 Mini or Gemini 2.5 Pro better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Seed 2.0 Mini and Gemini 2.5 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Seed 2.0 Mini or Gemini 2.5 Pro?+

Seed 2.0 Mini is $0.10 and Gemini 2.5 Pro is $1.25 per million tokens, so Seed 2.0 Mini is cheaper on this metric. Seed 2.0 Mini is $0.40 and Gemini 2.5 Pro is $10.00 per million tokens, so Seed 2.0 Mini is cheaper on this metric.

Which has a larger context window, Seed 2.0 Mini or Gemini 2.5 Pro?+

Gemini 2.5 Pro has a sourced context window of 1,048,576 tokens; Seed 2.0 Mini's context window is not reported. A larger limit cannot be determined.

Which performs better in benchmarks, Seed 2.0 Mini 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 Seed 2.0 Mini or Gemini 2.5 Pro be self-hosted?+

Both models have the same sourced self-hosting status: unsupported. Seed 2.0 Mini is not marked open weight; Gemini 2.5 Pro is not marked open weight.

Can Seed 2.0 Mini and Gemini 2.5 Pro understand images?+

Seed 2.0 Mini is 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, Seed 2.0 Mini or Gemini 2.5 Pro?+

Gemini 2.5 Pro has a sourced maximum output of 65,536 tokens; Seed 2.0 Mini's maximum output is not reported. A larger limit cannot be determined.

Do Seed 2.0 Mini and Gemini 2.5 Pro support reasoning and tool use?+

Seed 2.0 Mini: reasoning, tool calling, and image input. Gemini 2.5 Pro: 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 Gemini 2.5 Pro?+

Seed 2.0 Mini has 1 sourced provider route; Gemini 2.5 Pro has 2, so Gemini 2.5 Pro has broader tracked availability.

Which offers better value, Seed 2.0 Mini 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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