Gemini 3.6 Flash vs GLM 5.3

Model Markets Rankings

Intelligence, Cost, and Efficiency

All rankings →
RankingGemini 3.6 FlashGLM-5.3
IntelligenceHigher is better · MM Intelligence v1.2#14 of 2266.5 scoreUnrankedNot in the 22-model eligible cohort
CostLower is better · Published-token output estimate#10 of 36$0.055 per LiveBench case#28 of 36$0.248 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.0#5 of 2261.6 scoreUnrankedNot in the 22-model eligible cohort

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 3.6 FlashGLM-5.3
LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · leader-3.5293% of row best · score · Gemini 3.6 Flash (High); 95% CI [-4.67028409, -2.36170848]; sessions 16850; observations 910940; rank 413.82100% of row best · score · GLM 5.3 (Max); 95% CI [3.01733683, 4.62585790]; sessions 41022; observations 2958163; rank 20
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · statistical tie1,476.42100% of row best · rating · gemini-3.6-flash-high; 95% CI [1471.33793256, 1481.50948001]; votes 22009; rank 151,474.49100% of row best · rating · glm-5.3-max; 95% CI [1467.12172899, 1481.86064533]; votes 7401; rank 18
LiveBench2026-06-25 · overall · leader78.0599% of row best · percent · gemini-3.6-flash-high · 14,746 output tokens / case79.15100% of row best · percent · glm-5.3 · 62,090 output tokens / case
Overall ResultCounted from the protocol-matched rows above · 1 tie0 benchmark wins2 benchmark winsOverall 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 3.6 FlashVerified Aug 29, 2026
Z.ai · activeGLM 5.3Verified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGemini 3.6 FlashGLM-5.3
DeveloperGoogle DeepMindZ.ai
FamilyGemini 3Glm 5 3
ModelGemini 3.6 FlashGLM-5.3
VersionGemini 3.6 FlashGLM-5.3
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknownUnknown
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 3.6 Flash Capabilities

chatgenerationreasoningtools
Input price$0.75
Output price$3.75
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.6-flash

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 3.6 Flash vs GLM 5.3 FAQs

Is Gemini 3.6 Flash or GLM 5.3 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.6 Flash and GLM 5.3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 3.6 Flash or GLM 5.3?+

Gemini 3.6 Flash is $0.75 and GLM 5.3 is $1.20 per million tokens, so Gemini 3.6 Flash is cheaper on this metric. Gemini 3.6 Flash is $3.75 and GLM 5.3 is $4.00 per million tokens, so Gemini 3.6 Flash is cheaper on this metric.

Which has a larger context window, Gemini 3.6 Flash or GLM 5.3?+

Gemini 3.6 Flash has the larger sourced context window. Gemini 3.6 Flash supports 1,049K and GLM 5.3 supports 1,000K.

Which performs better in benchmarks, Gemini 3.6 Flash or GLM 5.3?+

GLM 5.3 leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Can Gemini 3.6 Flash or GLM 5.3 be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Gemini 3.6 Flash is not marked open weight; GLM 5.3 is not marked open weight.

Can Gemini 3.6 Flash and GLM 5.3 understand images?+

Gemini 3.6 Flash 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 3.6 Flash or GLM 5.3?+

GLM 5.3 has the larger sourced maximum output: Gemini 3.6 Flash supports 66K and GLM 5.3 supports 131K output tokens.

Do Gemini 3.6 Flash and GLM 5.3 support reasoning and tool use?+

Gemini 3.6 Flash: 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 3.6 Flash or GLM 5.3?+

Gemini 3.6 Flash has 2 sourced provider routes; GLM 5.3 has 4, so GLM 5.3 has broader tracked availability.

Which offers better value, Gemini 3.6 Flash 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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