Gemini 2.5 Pro vs GLM 5V Turbo

At a Glance

Compare
Gemini 2.5 ProGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$1.25Google AI · Aug 29, 2026Not reported
Output priceFrom · USD / 1M tokens$10.00Google AI · Aug 29, 2026Not reported
Context windowMaximum documented tokens1,049K200K
Model facts checkedAug 29, 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

FieldGemini 2.5 ProGLM-5V-Turbo
DeveloperGoogle DeepMindZ.ai
FamilyGemini 2 5Glm 5v
ModelGemini 2.5 ProGLM-5V-Turbo
VersionGemini 2.5 ProGLM-5V-Turbo
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoff2025-01-01Unknown
Input modalitiesText, Image, Video, Audio, DocumentText, Image, Video, Document
Output modalitiesTextText
Context window1,049K200K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessGoogle AI (Standard), Google Gemini (Standard)Z.ai (Standard)
Capabilitieschat, generation, reasoning, toolsagents, chat, computer-use, reasoning, tools, vision

Gemini 2.5 Pro Capabilities

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

GLM 5V Turbo Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Gemini 2.5 Pro vs GLM 5V Turbo FAQs

Is Gemini 2.5 Pro or GLM 5V Turbo better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 2.5 Pro and GLM 5V Turbo, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 2.5 Pro or GLM 5V Turbo?+

Only Gemini 2.5 Pro has a directly sourced input price: $1.25 per million tokens. Only Gemini 2.5 Pro has a directly sourced output price: $10.00 per million tokens.

Which has a larger context window, Gemini 2.5 Pro or GLM 5V Turbo?+

Gemini 2.5 Pro has the larger sourced context window. Gemini 2.5 Pro supports 1,049K and GLM 5V Turbo supports 200K.

Which performs better in benchmarks, Gemini 2.5 Pro 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 Gemini 2.5 Pro or GLM 5V Turbo be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Gemini 2.5 Pro is not marked open weight; GLM 5V Turbo is not marked open weight.

Can Gemini 2.5 Pro and GLM 5V Turbo understand images?+

Gemini 2.5 Pro 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, Gemini 2.5 Pro or GLM 5V Turbo?+

GLM 5V Turbo has the larger sourced maximum output: Gemini 2.5 Pro supports 66K and GLM 5V Turbo supports 131K output tokens.

Do Gemini 2.5 Pro and GLM 5V Turbo support reasoning and tool use?+

Gemini 2.5 Pro: 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, Gemini 2.5 Pro or GLM 5V Turbo?+

Gemini 2.5 Pro has 2 sourced provider routes; GLM 5V Turbo has 1, so Gemini 2.5 Pro has broader tracked availability.

Which offers better value, Gemini 2.5 Pro 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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