Gemma 4 E4B vs GLM-5V-Turbo

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
Google Deepmind · activeGemma 4 E4BVerified Sep 3, 2026
Z.ai · activeGLM-5V-TurboVerified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGemma 4 E4BGLM-5V-Turbo
DeveloperGoogle DeepmindZ.ai
FamilyGemma 4Glm 5v
ModelGemma 4 E4BGLM-5V-Turbo
VersionGemma 4 E4BGLM-5V-Turbo
Lifecycleactiveactive
Released2026-03-02Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, AudioText, Image, Video, Document
Output modalitiesTextText
Context window131,072200,000
Total parametersUnknownUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Together Ai (Standard)Z.ai (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolsagents, chat, computer-use, reasoning, tools, vision

13 comparable fields · 10 material differences · Pair passes the primary-source comparison gate

Gemma 4 E4B Capabilities

chatgenerationreasoningstructured outputstools
Input price$0.020
Output price$0.10
Serving providers2
Canonical IDgoogle/gemma-4-E4B-it

GLM-5V-Turbo Capabilities

agentschatcomputer-usereasoningtoolsvision
Input price
Output price
Serving providers1
Canonical IDzai-org/glm-5v-turbo

Internal Comparison Graph

Related Comparisons

All image comparisons →
APairBContext
vsfamily variantsaudio, image, text, video
vsfamily variantsimage, text, video
vsfamily variantsaudio, image, text, video
vscross-developer peersaudio, image, text, video
vscross-developer peersaudio, image, text, video
vscross-developer peersaudio, image, text, video
vscross-developer peersimage, text, video
vscross-developer peersimage, text, video
vscross-developer peersimage, text, video
vscross-developer peersimage, text, video
vscross-developer peersimage, text, video
vscross-developer peersimage, text

Primary Evidence

Sources and Freshness

Questions

Gemma 4 E4B vs GLM-5V-Turbo FAQs

Is Gemma 4 E4B or GLM-5V-Turbo better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 E4B and GLM-5V-Turbo, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemma 4 E4B or GLM-5V-Turbo?+

Only Gemma 4 E4B has a directly sourced input price: $0.020 per million tokens. Only Gemma 4 E4B has a directly sourced output price: $0.10 per million tokens.

Which has a larger context window, Gemma 4 E4B or GLM-5V-Turbo?+

GLM-5V-Turbo has the larger sourced context window. Gemma 4 E4B supports 131,072 and GLM-5V-Turbo supports 200,000.

Which performs better in benchmarks, Gemma 4 E4B or GLM-5V-Turbo?+

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

Can Gemma 4 E4B or GLM-5V-Turbo be self-hosted?+

Gemma 4 E4B is the only model in this pair currently marked as self-hostable. Gemma 4 E4B is open weight; GLM-5V-Turbo is not marked open weight.

Can Gemma 4 E4B and GLM-5V-Turbo understand images?+

Gemma 4 E4B is documented with image input; GLM-5V-Turbo is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemma 4 E4B or GLM-5V-Turbo?+

Neither has a larger sourced maximum output. Gemma 4 E4B is — and GLM-5V-Turbo is 131,072.

Do Gemma 4 E4B and GLM-5V-Turbo support reasoning and tool use?+

Gemma 4 E4B: reasoning, tool calling, and image input. GLM-5V-Turbo: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemma 4 E4B or GLM-5V-Turbo?+

Gemma 4 E4B has 2 sourced provider routes; GLM-5V-Turbo has 1, so Gemma 4 E4B has broader tracked availability.

Which offers better value, Gemma 4 E4B or GLM-5V-Turbo?+

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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Gemma 4 E4B vs GLM-5V-Turbo: AI Model Comparison · Model Markets