Seed 2.0 Code vs Gemini 2.5 Pro

At a Glance

Compare
Seed 2.0 CodeByteDance Seed
Gemini 2.5 ProGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.50Openrouter · Sep 22, 2026$1.25Google AI · Aug 29, 2026
Output priceFrom · USD / 1M tokens$3.00Openrouter · Sep 22, 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 CodeGemini 2.5 Pro
DeveloperByteDance SeedGoogle DeepMind
FamilySeed 2 0Gemini 2 5
ModelSeed 2.0 CodeGemini 2.5 Pro
VersionSeed 2.0 CodeGemini 2.5 Pro
Lifecycleactiveactive
Released2026-02-14Unknown
Knowledge cutoffUnknown2025-01-01
Input modalitiesTextText, 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 Code Capabilities

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

Gemini 2.5 Pro Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Seed 2.0 Code vs Gemini 2.5 Pro FAQs

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

This comparison does not currently contain a protocol-matched coding benchmark for both Seed 2.0 Code 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 Code or Gemini 2.5 Pro?+

Seed 2.0 Code is $0.50 and Gemini 2.5 Pro is $1.25 per million tokens, so Seed 2.0 Code is cheaper on this metric. Seed 2.0 Code is $3.00 and Gemini 2.5 Pro is $10.00 per million tokens, so Seed 2.0 Code is cheaper on this metric.

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

Neither model has a larger sourced context window in this comparison. Seed 2.0 Code is — and Gemini 2.5 Pro is 1,049K.

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

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

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

Seed 2.0 Code 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, Seed 2.0 Code or Gemini 2.5 Pro?+

Neither has a larger sourced maximum output. Seed 2.0 Code is — and Gemini 2.5 Pro is 66K.

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

Seed 2.0 Code: reasoning and tool calling. 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 Code or Gemini 2.5 Pro?+

Seed 2.0 Code 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 Code 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.

Send Feedback