Seed 2.1 Evolving vs GLM 5.3

Model Markets Rankings

Intelligence, Cost, and Efficiency

All rankings →
RankingSeed 2.1 EvolvingGLM-5.3
CostLower is better · Published-token output estimateUnrankedNot in the 36-model eligible cohort#28 of 36$0.248 per LiveBench case

Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.

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 2.1 EvolvingVerified Sep 3, 2026
Z.ai · activeGLM 5.3Verified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldSeed 2.1 EvolvingGLM-5.3
DeveloperByteDance SeedZ.ai
FamilySeed 2 1Glm 5 3
ModelSeed 2.1 EvolvingGLM-5.3
VersionSeed 2.1 EvolvingGLM-5.3
Lifecycleactiveactive
Released2026-06-23Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, VideoText
Output modalitiesTextText
Context windowUnknown1,000K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessUnknownDeepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard)
Capabilitiesagents, chat, generation, reasoning, structured_outputs, toolsagents, chat, reasoning, structured_outputs, tools

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

Seed 2.1 Evolving Capabilities

agentschatgenerationreasoningstructured outputstools
Input price
Output price
Serving providers0
Canonical IDbytedance-seed/seed-2.1-evolving

GLM 5.3 Capabilities

agentschatreasoningstructured outputstools
Input price$1.20
Output price$4.00
Serving providers4
Canonical IDzai-org/glm-5.3

Internal Comparison Graph

Related Comparisons

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vsfamily variantsimage, text, video
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Primary Evidence

Sources and Freshness

Questions

Seed 2.1 Evolving vs GLM 5.3 FAQs

Is Seed 2.1 Evolving or GLM 5.3 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Seed 2.1 Evolving and GLM 5.3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Seed 2.1 Evolving or GLM 5.3?+

Only GLM 5.3 has a directly sourced input price: $1.20 per million tokens. Only GLM 5.3 has a directly sourced output price: $4.00 per million tokens.

Which has a larger context window, Seed 2.1 Evolving or GLM 5.3?+

Neither model has a larger sourced context window in this comparison. Seed 2.1 Evolving is — and GLM 5.3 is 1,000K.

Which performs better in benchmarks, Seed 2.1 Evolving or GLM 5.3?+

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

Can Seed 2.1 Evolving or GLM 5.3 be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Seed 2.1 Evolving is not marked open weight; GLM 5.3 is not marked open weight.

Can Seed 2.1 Evolving and GLM 5.3 understand images?+

Seed 2.1 Evolving is documented with image input; GLM 5.3 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Seed 2.1 Evolving or GLM 5.3?+

Neither has a larger sourced maximum output. Seed 2.1 Evolving is — and GLM 5.3 is 131K.

Do Seed 2.1 Evolving and GLM 5.3 support reasoning and tool use?+

Seed 2.1 Evolving: reasoning, tool calling, and image input. GLM 5.3: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Seed 2.1 Evolving or GLM 5.3?+

Seed 2.1 Evolving has 0 sourced provider routes; GLM 5.3 has 4, so GLM 5.3 has broader tracked availability.

Which offers better value, Seed 2.1 Evolving or GLM 5.3?+

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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