Gemini 3.8 Flash Cyber vs Granite 4.2 3B

At a Glance

Compare
Gemini 3.8 Flash CyberGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.030Deepinfra · Sep 21, 2026
Output priceFrom · USD / 1M tokensNot reported$0.12Deepinfra · Sep 21, 2026
Context windowMaximum documented tokensNot reported131K
Model facts checkedSep 2, 2026View model evidence →Sep 2, 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 CyberGranite 4.2 3B
DeveloperGoogle DeepMindIBM
FamilyGemini 3Granite 4 2
ModelGemini 3.8 Flash CyberGranite 4.2 3B
VersionGemini 3.8 Flash CyberGranite 4.2 3B
Lifecycleactiveactive
Released2026-09-022026-08-25
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context windowUnknown131K
Total parametersUnknown3.7B
Active parametersUnknownUnknown
LicenseUnknownapache-2.0
Open weightsNoYes
API availableNoYes
Self-hostableNoYes
Provider accessUnknownDeepinfra (Standard)
Capabilitiesautomated-patching, cybersecurity, reasoning, vulnerability-detectionchat, generation, reasoning, structured_outputs, tools

Gemini 3.8 Flash Cyber Capabilities

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

Granite 4.2 3B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDibm-granite/granite-4.2-3b

Primary Evidence

Sources and Freshness

Questions

Gemini 3.8 Flash Cyber vs Granite 4.2 3B FAQs

Is Gemini 3.8 Flash Cyber or Granite 4.2 3B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.8 Flash Cyber and Granite 4.2 3B, 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 Granite 4.2 3B?+

Only Granite 4.2 3B has a directly sourced input price: $0.030 per million tokens. Only Granite 4.2 3B has a directly sourced output price: $0.12 per million tokens.

Which has a larger context window, Gemini 3.8 Flash Cyber or Granite 4.2 3B?+

Neither model has a larger sourced context window in this comparison. Gemini 3.8 Flash Cyber is — and Granite 4.2 3B is 131K.

Which performs better in benchmarks, Gemini 3.8 Flash Cyber or Granite 4.2 3B?+

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 Granite 4.2 3B be self-hosted?+

Granite 4.2 3B is the only model in this pair currently marked as self-hostable. Gemini 3.8 Flash Cyber is not marked open weight; Granite 4.2 3B is open weight.

Can Gemini 3.8 Flash Cyber and Granite 4.2 3B understand images?+

Gemini 3.8 Flash Cyber is not documented with image input; Granite 4.2 3B is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini 3.8 Flash Cyber or Granite 4.2 3B?+

Neither has a larger sourced maximum output. Gemini 3.8 Flash Cyber is — and Granite 4.2 3B is —.

Do Gemini 3.8 Flash Cyber and Granite 4.2 3B support reasoning and tool use?+

Gemini 3.8 Flash Cyber: reasoning. Granite 4.2 3B: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 3.8 Flash Cyber or Granite 4.2 3B?+

Gemini 3.8 Flash Cyber has 0 sourced provider routes; Granite 4.2 3B has 1, so Granite 4.2 3B has broader tracked availability.

Which offers better value, Gemini 3.8 Flash Cyber or Granite 4.2 3B?+

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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