Gemini 2.5 Pro vs GLM 5.3

Model Markets Rankings

Intelligence, Cost, and Efficiency

All rankings →
RankingGemini 2.5 ProGLM-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

BenchmarkGemini 2.5 ProGLM-5.3
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,457.8299% of row best · rating · gemini-2.5-pro; 95% CI [1455.34940240, 1460.28624287]; votes 122575; rank 331,474.49100% of row best · rating · glm-5.3-max; 95% CI [1467.12172899, 1481.86064533]; votes 7401; rank 18
Overall ResultCounted from the protocol-matched rows above0 benchmark wins1 benchmark winOverall lead

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

FieldAt a Glance
Google DeepMind · activeGemini 2.5 ProVerified Aug 29, 2026
Z.ai · activeGLM 5.3Verified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGemini 2.5 ProGLM-5.3
DeveloperGoogle DeepMindZ.ai
FamilyGemini 2 5Glm 5 3
ModelGemini 2.5 ProGLM-5.3
VersionGemini 2.5 ProGLM-5.3
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoff2025-01-01Unknown
Input modalitiesText, Image, Video, Audio, DocumentText
Output modalitiesTextText
Context window1,049K1,000K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessGoogle AI (Standard), Google Gemini (Standard)Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard)
Capabilitieschat, generation, reasoning, toolsagents, chat, reasoning, structured_outputs, tools

13 comparable fields · 8 material differences · Pair passes the primary-source comparison gate

Gemini 2.5 Pro Capabilities

chatgenerationreasoningtools
Input price$1.25
Output price$10.00
Serving providers2
Canonical IDgoogle-deepmind/gemini-2.5-pro

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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Primary Evidence

Sources and Freshness

Questions

Gemini 2.5 Pro vs GLM 5.3 FAQs

Is Gemini 2.5 Pro or GLM 5.3 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 2.5 Pro and GLM 5.3, 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 5.3?+

Gemini 2.5 Pro is $1.25 and GLM 5.3 is $1.20 per million tokens, so GLM 5.3 is cheaper on this metric. Gemini 2.5 Pro is $10.00 and GLM 5.3 is $4.00 per million tokens, so GLM 5.3 is cheaper on this metric.

Which has a larger context window, Gemini 2.5 Pro or GLM 5.3?+

Gemini 2.5 Pro has the larger sourced context window. Gemini 2.5 Pro supports 1,049K and GLM 5.3 supports 1,000K.

Which performs better in benchmarks, Gemini 2.5 Pro 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 Gemini 2.5 Pro or GLM 5.3 be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Gemini 2.5 Pro is not marked open weight; GLM 5.3 is not marked open weight.

Can Gemini 2.5 Pro and GLM 5.3 understand images?+

Gemini 2.5 Pro 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, Gemini 2.5 Pro or GLM 5.3?+

GLM 5.3 has the larger sourced maximum output: Gemini 2.5 Pro supports 66K and GLM 5.3 supports 131K output tokens.

Do Gemini 2.5 Pro and GLM 5.3 support reasoning and tool use?+

Gemini 2.5 Pro: 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, Gemini 2.5 Pro or GLM 5.3?+

Gemini 2.5 Pro has 2 sourced provider routes; GLM 5.3 has 4, so GLM 5.3 has broader tracked availability.

Which offers better value, Gemini 2.5 Pro 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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