Seed 2.0 Pro vs GPT-5.3-Codex

Benchmark Performance

Available Benchmarks

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
ByteDance Seed · activeSeed 2.0 ProVerified Sep 3, 2026
OpenAI · activeGPT-5.3-CodexVerified Sep 3, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldSeed 2.0 ProGPT-5.3-Codex
DeveloperByteDance SeedOpenAI
FamilySeed 2 0Gpt 5 3
ModelSeed 2.0 ProGPT-5.3-Codex
VersionSeed 2.0 ProGPT-5.3-Codex
Lifecycleactiveactive
Released2026-02-14Unknown
Knowledge cutoffUnknown2025-08-31
Input modalitiesText, Image, VideoText, Image
Output modalitiesTextText
Context windowUnknown400,000
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessUnknownOpenai (Standard), Openrouter (Standard)
Capabilitiesagents, chat, computer-use, generation, reasoning, structured_outputs, toolschat, generation, reasoning, structured_outputs, tools

11 comparable fields · 6 material differences · Pair passes the primary-source comparison gate

Seed 2.0 Pro Capabilities

agentschatcomputer-usegenerationreasoningstructured outputstools
Input price
Output price
Serving providers0
Canonical IDbytedance-seed/seed-2.0-pro

GPT-5.3-Codex Capabilities

chatgenerationreasoningstructured outputstools
Input price$1.75
Output price$14.00
Serving providers2
Canonical IDopenai/gpt-5.3-codex

Internal Comparison Graph

Related Comparisons

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APairBContext
vsfamily variantsimage, text
vscross-developer peersimage, text
vsfamily variantsimage, text, video
vsfamily variantsimage, text, video
vsfamily variantsimage, text, video
vsfamily variantsimage, text, video
vscross-developer peersimage, text, video
vscross-developer peersimage, text, video
vscross-developer peersimage, text, video
vsfamily variantsimage, text
vsfamily variantsimage, text
vsfamily variantsimage, text

Primary Evidence

Sources and Freshness

Questions

Seed 2.0 Pro vs GPT-5.3-Codex FAQs

Is Seed 2.0 Pro or GPT-5.3-Codex better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Seed 2.0 Pro and GPT-5.3-Codex, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Seed 2.0 Pro or GPT-5.3-Codex?+

Only GPT-5.3-Codex has a directly sourced input price: $1.75 per million tokens. Only GPT-5.3-Codex has a directly sourced output price: $14.00 per million tokens.

Which has a larger context window, Seed 2.0 Pro or GPT-5.3-Codex?+

Neither model has a larger sourced context window in this comparison. Seed 2.0 Pro is — and GPT-5.3-Codex is 400,000.

Which performs better in benchmarks, Seed 2.0 Pro or GPT-5.3-Codex?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Seed 2.0 Pro or GPT-5.3-Codex be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Seed 2.0 Pro is not marked open weight; GPT-5.3-Codex is not marked open weight.

Can Seed 2.0 Pro and GPT-5.3-Codex understand images?+

Seed 2.0 Pro is documented with image input; GPT-5.3-Codex is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Seed 2.0 Pro or GPT-5.3-Codex?+

Neither has a larger sourced maximum output. Seed 2.0 Pro is — and GPT-5.3-Codex is 128,000.

Do Seed 2.0 Pro and GPT-5.3-Codex support reasoning and tool use?+

Seed 2.0 Pro: reasoning, tool calling, and image input. GPT-5.3-Codex: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Seed 2.0 Pro or GPT-5.3-Codex?+

Seed 2.0 Pro has 0 sourced provider routes; GPT-5.3-Codex has 2, so GPT-5.3-Codex has broader tracked availability.

Which offers better value, Seed 2.0 Pro or GPT-5.3-Codex?+

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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