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Model profile

Gemini 3.5 Flash Cyber

GoogleCurrentReleased Jul 21, 2026
Data verified
Overall Score
Unranked
Arena Elo
Not listed
Eligible category ranks
0of 8
Price (1M tokens)
Not listedAPI pricing
Speed
Not listed
Context
Not available

Evidence coverage

1 of 331 tracked benchmarks is published. 1 is verified and 0 provisional. 1 of 8 categories are measured.

Updated July 24, 2026Methodology
Published / tracked
1 / 331
Verified
1
Provisional
0
Categories with evidence
1 / 8

Evidence by category

  • Agentic1 benchmark
    Verified
  • Coding0 benchmarks
    Not measured
  • Reasoning0 benchmarks
    Not measured
  • Knowledge0 benchmarks
    Not measured
  • Math0 benchmarks
    Not measured
  • Multilingual0 benchmarks
    Not measured
  • Multimodal0 benchmarks
    Not measured
  • Inst. Following0 benchmarks
    Not measured
ProprietaryReasoning
Confidence:
Low
cyber

BenchLM is tracking Gemini 3.5 Flash Cyber, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.

Gemini 3.5 Flash Cyber is a proprietary model. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.

Google says Gemini 3.5 Flash Cyber will be available soon through a limited-access CodeMender pilot exclusively for governments and trusted partners, with access expanding over time. Google has not published a standalone API model ID, context-window specification, or token price for this variant.

Gemini 3.5 Flash Cyber sits inside the Gemini 3.5 Flash family alongside Gemini 3.5 Flash. This profile currently has 1 of 331 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Peer position

Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.

Range 77.4483.93

  1. Claude Mythos 5
    Anthropic
    #183.93
    Claude Mythos 5 is #1 with a score of 83.93.
    Compare
  2. Claude Fable 5
    Anthropic
    #283.68
    Claude Fable 5 is #2 with a score of 83.68.
    Compare
  3. GPT-5.6 Sol
    OpenAI
    #381.96
    GPT-5.6 Sol is #3 with a score of 81.96.
    Compare
  4. Kimi K3
    Moonshot AI
    #480.96
    Kimi K3 is #4 with a score of 80.96.
    Compare
  5. Claude Opus 4.8
    Anthropic
    #578.34
    Claude Opus 4.8 is #5 with a score of 78.34.
    Compare
  6. Muse Spark 1.1
    Meta
    #677.44
    Muse Spark 1.1 is #6 with a score of 77.44.
    Compare
  7. Gemini 3.5 Flash CyberCurrent model
    Google
    UnrankedNot measured
    Gemini 3.5 Flash Cyber is Unranked with a score of Not measured.

Category percentile

More

Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.

No eligible category percentile is available from the published evidence yet.

Category evidence

Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticWeight 22%1 benchmarkVerifiedScore pending
CodingWeight 20%0 benchmarksNot measuredNot measured
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeWeight 12%0 benchmarksNot measuredNot measured
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Benchmark Details

Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.

Agentic1 benchmark
CyberGymProvider exact
83.2%Display only
Source: Google DeepMind: Gemini 3.5 Flash CyberProvenance: Google DeepMind reports 83.2% pass@1 on CyberGym for Gemini 3.5 Flash Cyber in CodeMender with up to five model calls per final report. BenchLM stores the result as display-only agent-system evidence rather than a base-model score.

Gemini 3.5 Flash Family

cyber · Cyber

Canonical Entry

Gemini 3.5 Flash

Frequently Asked Questions

How does Gemini 3.5 Flash Cyber perform overall in AI benchmarks?

Gemini 3.5 Flash Cyber has 1 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is Gemini 3.5 Flash Cyber good for agentic tool use and computer tasks?

Gemini 3.5 Flash Cyber has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.

Which sibling models are related to Gemini 3.5 Flash Cyber?

Gemini 3.5 Flash Cyber belongs to the Gemini 3.5 Flash family. Related variants on BenchLM include Gemini 3.5 Flash.

Does Gemini 3.5 Flash Cyber have full benchmark coverage on BenchLM?

Not yet. Gemini 3.5 Flash Cyber currently has 1 published benchmark scores out of the 331 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of Gemini 3.5 Flash Cyber?

Gemini 3.5 Flash Cyber's context window has not been published in a source we can verify yet. The profile leaves this field unavailable instead of borrowing a limit from an earlier model in the family.

Last updated: July 24, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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