Gemini 3.8 Flash Cyber vs GPT-4.1 Nano

At a Glance

Compare
Gemini 3.8 Flash CyberGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.050Openrouter · Sep 3, 2026
Output priceFrom · USD / 1M tokensNot reported$0.20Openrouter · Sep 3, 2026
Context windowMaximum documented tokensNot reported1,048K
Model facts checkedSep 2, 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 3.8 Flash CyberGPT-4.1 Nano
DeveloperGoogle DeepMindOpenAI
FamilyGemini 3Gpt 4 1
ModelGemini 3.8 Flash CyberGPT-4.1 Nano
VersionGemini 3.8 Flash CyberGPT-4.1 Nano
Lifecycleactiveactive
Released2026-09-02Unknown
Knowledge cutoffUnknown2024-06-01
Input modalitiesTextText, Image
Output modalitiesTextText
Context windowUnknown1,048K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableNoYes
Self-hostableNoNo
Provider accessUnknownOpenai (Standard), Openrouter (Standard)
Capabilitiesautomated-patching, cybersecurity, reasoning, vulnerability-detectionchat, generation, tools

Gemini 3.8 Flash Cyber Capabilities

automated-patchingcybersecurityreasoningvulnerability-detection
Serving providers0
Canonical IDgoogle-deepmind/gemini-3.8-flash-cyber

GPT-4.1 Nano Capabilities

chatgenerationtools
Serving providers2
Canonical IDopenai/gpt-4.1-nano

Primary Evidence

Sources and Freshness

Questions

Gemini 3.8 Flash Cyber vs GPT-4.1 Nano FAQs

Is Gemini 3.8 Flash Cyber or GPT-4.1 Nano better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.8 Flash Cyber and GPT-4.1 Nano, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 3.8 Flash Cyber or GPT-4.1 Nano?+

Only GPT-4.1 Nano has a directly sourced input price: $0.050 per million tokens. Only GPT-4.1 Nano has a directly sourced output price: $0.20 per million tokens.

Which has a larger context window, Gemini 3.8 Flash Cyber or GPT-4.1 Nano?+

Neither model has a larger sourced context window in this comparison. Gemini 3.8 Flash Cyber is — and GPT-4.1 Nano is 1,048K.

Which performs better in benchmarks, Gemini 3.8 Flash Cyber or GPT-4.1 Nano?+

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

Can Gemini 3.8 Flash Cyber or GPT-4.1 Nano be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Gemini 3.8 Flash Cyber is not marked open weight; GPT-4.1 Nano is not marked open weight.

Can Gemini 3.8 Flash Cyber and GPT-4.1 Nano understand images?+

Gemini 3.8 Flash Cyber is not documented with image input; GPT-4.1 Nano is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini 3.8 Flash Cyber or GPT-4.1 Nano?+

Neither has a larger sourced maximum output. Gemini 3.8 Flash Cyber is — and GPT-4.1 Nano is 33K.

Do Gemini 3.8 Flash Cyber and GPT-4.1 Nano support reasoning and tool use?+

Gemini 3.8 Flash Cyber: reasoning. GPT-4.1 Nano: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 3.8 Flash Cyber or GPT-4.1 Nano?+

Gemini 3.8 Flash Cyber has 0 sourced provider routes; GPT-4.1 Nano has 2, so GPT-4.1 Nano has broader tracked availability.

Which offers better value, Gemini 3.8 Flash Cyber or GPT-4.1 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.

Send Feedback