Gemma 4 E2B vs GLM 5.3 Flash

At a Glance

Compare
Gemma 4 E2BGoogle DeepMind
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5UnrankedNot in the 46-model eligible cohort#29 of 4654.6 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.4–69.8
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#2 of 44$0.0087 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5UnrankedNot in the 38-model eligible cohort#1 of 3877.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 68.2–84.9
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.075Z.ai · Aug 29, 2026
Output priceFrom · USD / 1M tokensNot reported$0.25Z.ai · Aug 29, 2026
Context windowMaximum documented tokens131K1,000K
Model facts checkedSep 3, 2026View model evidence →Sep 2, 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

FieldGemma 4 E2BGLM-5.3-Flash
DeveloperGoogle DeepMindZ.ai
FamilyGemma 4Glm 5 3 Flash
ModelGemma 4 E2BGLM-5.3-Flash
VersionGemma 4 E2BGLM-5.3-Flash
Lifecycleactiveactive
Released2026-03-022026-09-02
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, AudioText, Image, Video, Document
Output modalitiesTextText
Context window131K1,000K
Total parametersUnknown320B
Active parametersUnknown18B
Licenseapache-2.0MIT
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessTogether Ai (Standard)Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolsagents, chat, computer-use, reasoning, structured_outputs, tools, vision

Gemma 4 E2B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDgoogle/gemma-4-E2B-it

GLM 5.3 Flash Capabilities

agentschatcomputer-usereasoningstructured outputstoolsvision
Serving providers4
Canonical IDzai-org/glm-5.3-flash

Primary Evidence

Sources and Freshness

Questions

Gemma 4 E2B vs GLM 5.3 Flash FAQs

Is Gemma 4 E2B or GLM 5.3 Flash better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 E2B and GLM 5.3 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemma 4 E2B or GLM 5.3 Flash?+

Only GLM 5.3 Flash has a directly sourced input price: $0.075 per million tokens. Only GLM 5.3 Flash has a directly sourced output price: $0.25 per million tokens.

Which has a larger context window, Gemma 4 E2B or GLM 5.3 Flash?+

GLM 5.3 Flash has the larger sourced context window. Gemma 4 E2B supports 131K and GLM 5.3 Flash supports 1,000K.

Which performs better in benchmarks, Gemma 4 E2B or GLM 5.3 Flash?+

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

Can Gemma 4 E2B or GLM 5.3 Flash be self-hosted?+

Both models have the same recorded self-hosting status: supported. Gemma 4 E2B is open weight; GLM 5.3 Flash is open weight.

Can Gemma 4 E2B and GLM 5.3 Flash understand images?+

Gemma 4 E2B is documented with image input; GLM 5.3 Flash is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemma 4 E2B or GLM 5.3 Flash?+

Neither has a larger sourced maximum output. Gemma 4 E2B is — and GLM 5.3 Flash is 131K.

Do Gemma 4 E2B and GLM 5.3 Flash support reasoning and tool use?+

Gemma 4 E2B: reasoning, tool calling, and image input. GLM 5.3 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemma 4 E2B or GLM 5.3 Flash?+

Gemma 4 E2B has 1 sourced provider route; GLM 5.3 Flash has 4, so GLM 5.3 Flash has broader tracked availability.

Which offers better value, Gemma 4 E2B or GLM 5.3 Flash?+

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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