Model comparison
Gemini 3.5 Flash Cyber vs GLM-5
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 3.5 Flash Cyber unranked (Not scored); GLM-5 #28 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3.5 Flash Cyber and GLM-5 share 1 comparable benchmark result. 0 of 8 categories are comparable. 0 results are unique to Gemini 3.5 Flash Cyber; 48 to GLM-5.
Updated July 24, 2026- Shared results
- 1
- Gemini 3.5 Flash Cyber only
- 0
- GLM-5 only
- 48
- Comparable categories
- 0 / 8
Benchmark data for Gemini 3.5 Flash Cyber and GLM-5 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Gemini 3.5 Flash Cyber | Δ | GLM-5 |
|---|---|---|---|
| Agentic | Gemini 3.5 Flash CyberNot measured | MarginNo overlap | GLM-556.2 |
| Coding | Gemini 3.5 Flash CyberNot measured | MarginNo overlap | GLM-566.3 |
| Reasoning | Gemini 3.5 Flash CyberNot measured | MarginNo overlap | GLM-560.8 |
| Knowledge | Gemini 3.5 Flash CyberNot measured | MarginNo overlap | GLM-566.4 |
| Math | Gemini 3.5 Flash CyberNot measured | MarginNo overlap | GLM-556.3 |
| Multilingual | Gemini 3.5 Flash CyberNot measured | MarginNo overlap | GLM-583.1 |
| Inst. Following | Gemini 3.5 Flash CyberNot measured | MarginNo overlap | GLM-592.6 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.5 Flash Cyber | GLM-5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.5 Flash CyberNot available | GLM-5$1 input / $3.2 output | A complete price comparison is not available. |
| Generation speedtokens per second | Gemini 3.5 Flash CyberNot available | GLM-574 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3.5 Flash CyberNot available | GLM-51.64 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3.5 Flash CyberNot available | GLM-5200K | A complete context comparison is not available. |
Benchmark Deep Dive
Agentic13 benchmarks
| Benchmark | Gemini 3.5 Flash Cyber | GLM-5 | Result |
|---|---|---|---|
| CyberGymSource | 83.2% | 43.2% | Gemini 3.5 Flash Cyber leads |
| Terminal-Bench 2.0Source | — | 56.2% | Not comparable |
| Claw-EvalSource | — | 57.7% | Not comparable |
| QwenClawBenchSource | — | 54.1% | Not comparable |
| τ³-bench resultsSource | — | 65.6% | Not comparable |
| DeepPlanningSource | — | 14.6% | Not comparable |
| ToolathlonSource | — | 38% | Not comparable |
| MCP AtlasSource | — | 31.1% | Not comparable |
| MCP-TasksSource | — | 60.8% | Not comparable |
| WideResearchSource | — | 69.8% | Not comparable |
| τ²-bench resultsSource | — | 98.2% | Not comparable |
| APEX-Agents-AASource | — | 14.5% | Not comparable |
| Gert LabsSource | — | 50.99% | Not comparable |
Coding7 benchmarks
| Benchmark | Gemini 3.5 Flash Cyber | GLM-5 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | — | 77.8% | Not comparable |
| SWE-bench Verified*Source | — | 72.8% | Not comparable |
| SWE-bench ProSource | — | 55.1% | Not comparable |
| SWE MultilingualSource | — | 73.3% | Not comparable |
| SWE-RebenchSource | — | 62.8% | Not comparable |
| React Native EvalsSource | — | 74.8% | Not comparable |
| AA-SciCodeSource | — | 46.2% | Not comparable |
Reasoning4 benchmarks
Knowledge12 benchmarks
| Benchmark | Gemini 3.5 Flash Cyber | GLM-5 | Result |
|---|---|---|---|
| GPQASource | — | 86% | Not comparable |
| GPQA-DSource | — | 86.0% | Not comparable |
| SuperGPQASource | — | 66.8% | Not comparable |
| MMLU-ProSource | — | 85.7% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 85.8% | Not comparable |
| HLESource | — | 50.4% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 39.5% | Not comparable |
| AA-GPQA DiamondSource | — | 82.0% | Not comparable |
| AA-HLESource | — | 27.2% | Not comparable |
| AA-Omniscience IndexSource | — | 2.0% | Not comparable |
| AA-Omniscience AccuracySource | — | 26.9% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 34.0% | Not comparable |
Math8 benchmarks
| Benchmark | Gemini 3.5 Flash Cyber | GLM-5 | Result |
|---|---|---|---|
| AIME26Source | — | 95.8% | Not comparable |
| AIME25 (Arcee)Source | — | 93.3% | Not comparable |
| HMMT Feb 2025Source | — | 97.5% | Not comparable |
| HMMT Nov 2025Source | — | 96.9% | Not comparable |
| HMMT Feb 2026Source | — | 86.4% | Not comparable |
| MMAnswerBenchSource | — | 82.5% | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | — | 16.434% | Not comparable |
| FrontierMath v2 (Tier 4)Source | — | 2.100% | Not comparable |
Multilingual2 benchmarks
Multimodal1 benchmarks
| Benchmark | Gemini 3.5 Flash Cyber | GLM-5 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1278 | Not comparable |
Frequently Asked Questions (3)
Can I compare Gemini 3.5 Flash Cyber and GLM-5 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Gemini 3.5 Flash Cyber and GLM-5 today?
Gemini 3.5 Flash Cyber: Pricing unavailable GLM-5: $1.00 input / $3.20 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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