Gemini 3.8 Flash Cyber vs Solar Pro 4

At a Glance

Compare
Gemini 3.8 Flash CyberGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.090Upstage · Sep 18, 2026
Output priceFrom · USD / 1M tokensNot reported$0.36Upstage · Sep 18, 2026
Context windowMaximum documented tokensNot reported524K
Model facts checkedSep 2, 2026View model evidence →Sep 18, 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 CyberSolar Pro 4
DeveloperGoogle DeepMindUpstage
FamilyGemini 3Solar Pro
ModelGemini 3.8 Flash CyberSolar Pro 4
VersionGemini 3.8 Flash CyberSolar Pro 4
Lifecycleactiveactive
Released2026-09-022026-08-14
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context windowUnknown524K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableNoYes
Self-hostableNoYes
Provider accessUnknownUpstage (Standard)
Capabilitiesautomated-patching, cybersecurity, reasoning, vulnerability-detectionagents, chat, generation, reasoning, structured_outputs, tools
Supported languagesUnknownEnglish, Korean, Japanese
Training data cutoffUnknownFebruary 2026

Gemini 3.8 Flash Cyber Capabilities

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

Solar Pro 4 Capabilities

agentschatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDupstage/solar-pro-4

Primary Evidence

Sources and Freshness

Questions

Gemini 3.8 Flash Cyber vs Solar Pro 4 FAQs

Is Gemini 3.8 Flash Cyber or Solar Pro 4 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.8 Flash Cyber and Solar Pro 4, 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 Solar Pro 4?+

Only Solar Pro 4 has a directly sourced input price: $0.090 per million tokens. Only Solar Pro 4 has a directly sourced output price: $0.36 per million tokens.

Which has a larger context window, Gemini 3.8 Flash Cyber or Solar Pro 4?+

Neither model has a larger sourced context window in this comparison. Gemini 3.8 Flash Cyber is — and Solar Pro 4 is 524K.

Which performs better in benchmarks, Gemini 3.8 Flash Cyber or Solar Pro 4?+

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 Solar Pro 4 be self-hosted?+

Solar Pro 4 is the only model in this pair currently marked as self-hostable. Gemini 3.8 Flash Cyber is not marked open weight; Solar Pro 4 is not marked open weight.

Can Gemini 3.8 Flash Cyber and Solar Pro 4 understand images?+

Gemini 3.8 Flash Cyber is not documented with image input; Solar Pro 4 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 Solar Pro 4?+

Neither has a larger sourced maximum output. Gemini 3.8 Flash Cyber is — and Solar Pro 4 is 131K.

Do Gemini 3.8 Flash Cyber and Solar Pro 4 support reasoning and tool use?+

Gemini 3.8 Flash Cyber: reasoning. Solar Pro 4: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 3.8 Flash Cyber or Solar Pro 4?+

Gemini 3.8 Flash Cyber has 0 sourced provider routes; Solar Pro 4 has 1, so Solar Pro 4 has broader tracked availability.

Which offers better value, Gemini 3.8 Flash Cyber or Solar Pro 4?+

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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