Gemini 3.8 Flash vs GPT-5.4 Nano

At a Glance

Compare
Gemini 3.8 FlashGoogle DeepMind
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#8 of 4682.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 54.7–88.0#42 of 4614.7 score · 3/3 sources · complete
CostLower is better · Published-token output estimate#26 of 44$0.160 per LiveBench case#14 of 44$0.058 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5#8 of 3860.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 46.7–63.4#37 of 3837.5 score · 3/3 sources · complete
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.75Google AI · Sep 2, 2026$0.20Openai · Sep 3, 2026
Output priceFrom · USD / 1M tokens$3.75Google AI · Sep 2, 2026$1.25Openai · Sep 3, 2026
Context windowMaximum documented tokens1,049K400K
Model facts checkedSep 2, 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 →
BenchmarkGemini 3.8 FlashGPT-5.4 Nano
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,494.67100% of row best · rating · gemini-3.8-flash-high; 95% CI [1486.13928353, 1503.20869643]; votes 5076; rank 61,372.8692% of row best · rating · gpt-5.4-nano-high; 95% CI [1369.01237938, 1376.71496043]; votes 58424; rank 167
LiveBench2026-06-25 · overall · leader80.85100% of row best · percent · gemini-3.8-flash-high · 42,786 output tokens / case75.2793% of row best · percent · gpt-5.4-nano-xhigh · 46,179 output tokens / case
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified77.82100% of row best · points · Gemini 3.8 Flash (high thinking) · 13,616 output tokens / case69.1289% of row best · points · GPT-5.4 nano · 3,831 output tokens / case
Overall ResultCounted from the protocol-matched rows above2 benchmark winsOverall lead0 benchmark wins

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

Side-by-Side Facts

FieldGemini 3.8 FlashGPT-5.4 Nano
DeveloperGoogle DeepMindOpenAI
FamilyGemini 3Gpt 5 4
ModelGemini 3.8 FlashGPT-5.4 Nano
VersionGemini 3.8 FlashGPT-5.4 Nano
Lifecycleactiveactive
Released2026-09-022026-03-17
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, code_execution, computer_use, generation, reasoning, structured_outputs, toolschat, generation, reasoning, structured_outputs, tools

Gemini 3.8 Flash Capabilities

chatcode executioncomputer usegenerationreasoningstructured outputstools
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.8-flash

GPT-5.4 Nano Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDopenai/gpt-5.4-nano

Primary Evidence

Sources and Freshness

Questions

Gemini 3.8 Flash vs GPT-5.4 Nano FAQs

Is Gemini 3.8 Flash or GPT-5.4 Nano better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.8 Flash and GPT-5.4 Nano, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 3.8 Flash or GPT-5.4 Nano?+

Gemini 3.8 Flash is $0.75 and GPT-5.4 Nano is $0.20 per million tokens, so GPT-5.4 Nano is cheaper on this metric. Gemini 3.8 Flash is $3.75 and GPT-5.4 Nano is $1.25 per million tokens, so GPT-5.4 Nano is cheaper on this metric.

Which has a larger context window, Gemini 3.8 Flash or GPT-5.4 Nano?+

Gemini 3.8 Flash has the larger sourced context window. Gemini 3.8 Flash supports 1,049K and GPT-5.4 Nano supports 400K.

Which performs better in benchmarks, Gemini 3.8 Flash or GPT-5.4 Nano?+

Gemini 3.8 Flash leads the current overall benchmark count. The result uses 2 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Can Gemini 3.8 Flash or GPT-5.4 Nano be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Gemini 3.8 Flash is not marked open weight; GPT-5.4 Nano is not marked open weight.

Can Gemini 3.8 Flash and GPT-5.4 Nano understand images?+

Gemini 3.8 Flash is documented with image input; GPT-5.4 Nano is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini 3.8 Flash or GPT-5.4 Nano?+

GPT-5.4 Nano has the larger sourced maximum output: Gemini 3.8 Flash supports 66K and GPT-5.4 Nano supports 128K output tokens.

Do Gemini 3.8 Flash and GPT-5.4 Nano support reasoning and tool use?+

Gemini 3.8 Flash: reasoning, tool calling, and image input. GPT-5.4 Nano: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 3.8 Flash or GPT-5.4 Nano?+

Gemini 3.8 Flash has 2 sourced provider routes; GPT-5.4 Nano has 2, a tie.

Which offers better value, Gemini 3.8 Flash or GPT-5.4 Nano?+

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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