Gemini 3.6 Flash vs GPT-5.3 Codex

At a Glance

Compare
Gemini 3.6 FlashGoogle DeepMind
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#19 of 4666.4 score · 3/3 sources · completeUnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#11 of 44$0.055 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#5 of 3863.7 score · 3/3 sources · completeUnrankedNot in the 38-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.75Google AI · Aug 29, 2026$1.75Openai · Sep 3, 2026
Output priceFrom · USD / 1M tokens$3.75Google AI · Aug 29, 2026$14.00Openai · Sep 3, 2026
Context windowMaximum documented tokens1,049K400K
Model facts checkedAug 29, 2026View model evidence →Sep 3, 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 3.6 FlashGPT-5.3-Codex
DeveloperGoogle DeepMindOpenAI
FamilyGemini 3Gpt 5 3
ModelGemini 3.6 FlashGPT-5.3-Codex
VersionGemini 3.6 FlashGPT-5.3-Codex
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknown2025-08-31
Input modalitiesText, Image, Video, Audio, DocumentText, Image
Output modalitiesTextText
Context window1,049K400K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessGoogle AI (Standard), Google Gemini (Standard)Openai (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, structured_outputs, tools

Gemini 3.6 Flash Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.6-flash

GPT-5.3 Codex Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDopenai/gpt-5.3-codex

Primary Evidence

Sources and Freshness

Questions

Gemini 3.6 Flash vs GPT-5.3 Codex FAQs

Is Gemini 3.6 Flash or GPT-5.3 Codex better for coding?+

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

Which is cheaper, Gemini 3.6 Flash or GPT-5.3 Codex?+

Gemini 3.6 Flash is $0.75 and GPT-5.3 Codex is $1.75 per million tokens, so Gemini 3.6 Flash is cheaper on this metric. Gemini 3.6 Flash is $3.75 and GPT-5.3 Codex is $14.00 per million tokens, so Gemini 3.6 Flash is cheaper on this metric.

Which has a larger context window, Gemini 3.6 Flash or GPT-5.3 Codex?+

Gemini 3.6 Flash has the larger sourced context window. Gemini 3.6 Flash supports 1,049K and GPT-5.3 Codex supports 400K.

Which performs better in benchmarks, Gemini 3.6 Flash or GPT-5.3 Codex?+

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

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

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

Can Gemini 3.6 Flash and GPT-5.3 Codex understand images?+

Gemini 3.6 Flash is documented with image input; GPT-5.3 Codex is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini 3.6 Flash or GPT-5.3 Codex?+

GPT-5.3 Codex has the larger sourced maximum output: Gemini 3.6 Flash supports 66K and GPT-5.3 Codex supports 128K output tokens.

Do Gemini 3.6 Flash and GPT-5.3 Codex support reasoning and tool use?+

Gemini 3.6 Flash: reasoning, tool calling, and image input. GPT-5.3 Codex: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 3.6 Flash or GPT-5.3 Codex?+

Gemini 3.6 Flash has 2 sourced provider routes; GPT-5.3 Codex has 2, a tie.

Which offers better value, Gemini 3.6 Flash or GPT-5.3 Codex?+

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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