Gemini 3.8 Flash Cyber vs Qwen3.7 Plus

At a Glance

Compare
Gemini 3.8 Flash CyberGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.32Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$1.28Openrouter · Sep 22, 2026
Context windowMaximum documented tokensNot reported1,000K
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 CyberQwen3.7-Plus
DeveloperGoogle DeepMindQwen
FamilyGemini 3Qwen3 7 Plus
ModelGemini 3.8 Flash CyberQwen3.7-Plus
VersionGemini 3.8 Flash CyberQwen3.7-Plus
Lifecycleactiveactive
Released2026-09-02Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video
Output modalitiesTextText
Context windowUnknown1,000K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableNoYes
Self-hostableNoNo
Provider accessUnknownAlibaba Cloud Model Studio (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitiesautomated-patching, cybersecurity, reasoning, vulnerability-detectionagents, chat, computer-use, reasoning, structured_outputs, tools, vision

Gemini 3.8 Flash Cyber Capabilities

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

Qwen3.7 Plus Capabilities

agentschatcomputer-usereasoningstructured outputstoolsvision
Serving providers4
Canonical IDqwen/qwen3.7-plus

Primary Evidence

Sources and Freshness

Questions

Gemini 3.8 Flash Cyber vs Qwen3.7 Plus FAQs

Is Gemini 3.8 Flash Cyber or Qwen3.7 Plus better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.8 Flash Cyber and Qwen3.7 Plus, 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 Qwen3.7 Plus?+

Only Qwen3.7 Plus has a directly sourced input price: $0.32 per million tokens. Only Qwen3.7 Plus has a directly sourced output price: $1.28 per million tokens.

Which has a larger context window, Gemini 3.8 Flash Cyber or Qwen3.7 Plus?+

Neither model has a larger sourced context window in this comparison. Gemini 3.8 Flash Cyber is — and Qwen3.7 Plus is 1,000K.

Which performs better in benchmarks, Gemini 3.8 Flash Cyber or Qwen3.7 Plus?+

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 Qwen3.7 Plus be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Gemini 3.8 Flash Cyber is not marked open weight; Qwen3.7 Plus is not marked open weight.

Can Gemini 3.8 Flash Cyber and Qwen3.7 Plus understand images?+

Gemini 3.8 Flash Cyber is not documented with image input; Qwen3.7 Plus is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini 3.8 Flash Cyber or Qwen3.7 Plus?+

Neither has a larger sourced maximum output. Gemini 3.8 Flash Cyber is — and Qwen3.7 Plus is 131K.

Do Gemini 3.8 Flash Cyber and Qwen3.7 Plus support reasoning and tool use?+

Gemini 3.8 Flash Cyber: reasoning. Qwen3.7 Plus: reasoning, 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 Qwen3.7 Plus?+

Gemini 3.8 Flash Cyber has 0 sourced provider routes; Qwen3.7 Plus has 4, so Qwen3.7 Plus has broader tracked availability.

Which offers better value, Gemini 3.8 Flash Cyber or Qwen3.7 Plus?+

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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