Gemini 3.6 Flash vs GLM-5.2
Gemini 3.6 Flash 
GLM-5.2 Verdict
- GLM-5.2 (max) leads on quality: 63.9 vs 61.7.
- Gemini 3.6 Flash (high) is stronger in human preference, knowledge, long context, maths, multimodal.
- GLM-5.2 (max) is stronger in agents & tools, coding, composite, reasoning, instruction following.
- Gemini 3.6 Flash (high) is 1.4× cheaper ($1.50 vs $2.15 per 1M blended).
- Gemini 3.6 Flash (high) streams 2.6× faster (186 vs 71 tokens per second).
| Metric | Gemini 3.6 Flash (high) | GLM-5.2 (max) |
|---|---|---|
| BenchLeader Index | 61.7 | 63.9 |
| Agents & tools score | 53.7 | 63.8 |
| Coding score | 58.7 | 63.8 |
| Composite score | 59.9 | 72.1 |
| Human preference score | 68.2 | 67.2 |
| Knowledge score | 66.7 | 55.5 |
| Long context score | 66.5 | 65.6 |
| Maths score | 61.4 | 59.0 |
| Multimodal score | 66.7 | – |
| Reasoning score | 64.5 | 72.9 |
| Instruction following score | – | 71.6 |
| Blended price $/M | $1.50 | $2.15 |
| Output speed | 186 tok/s | 71 tok/s |
| Time to first answer | 17.1 s | 31.6 s |
| Context window | 1.0M | 1M |
| GPQA Diamond | 94.1% | 91.9% |
| FrontierMath Tiers 1–3 | 59.0% | 59.2% |
| FrontierMath Tier 4 | 21.9% | 29.3% |
| OTIS Mock AIME | 94.2% | 86.4% |
| SWE-bench Verified (Epoch) | – | 78.7% |
| SimpleQA Verified | 66.2% | 34.2% |
| SciCode | 52.7% | 50.5% |
| WeirdML | 56.1% | 70.1% |
| ProofBench | – | 35.0% |
| LMArena Text | 1480 | 1472 |
| LMArena Hard Prompts | 1500 | 1493 |
| LMArena Coding | 1517 | 1510 |
| LMArena WebDev | 1537 | 1592 |
| LMArena Vision | 1300 | – |
| LMArena Agent | -5.9 | 4.4 |
| LiveBench | 73.6% | – |
| LiveBench Reasoning | 85.2% | – |
| LiveBench Coding | 77.9% | – |
| LiveBench Agentic Coding | 43.4% | – |
| LiveBench Mathematics | 86.4% | – |
| LiveBench Data Analysis | 63.0% | – |
| LiveBench Language | 83.9% | – |
| LiveBench Instruction Following | 75.4% | – |
| AA Intelligence Index | 34.3 | 34.0 |
| IFBench | – | 73.3% |
| AA-LCR | 80.0% | 78.3% |
| MMMU-Pro | 83.2% | – |
| AA-Omniscience | 22.1 | 4.4 |
| Terminal-Bench Hard | – | 50.8% |
| GPQA Diamond (AA) | 92.8% | 89.5% |
| Humanity's Last Exam (AA) | 40.8% | 41.1% |
| SciCode (AA) | 53.4% | 51.2% |
| τ²-Bench Telecom (AA) | – | 99.1% |
| LiveCodeBench | 88.1% | – |
| MMLU-Pro | 89.3% | – |
| IOI | 35.1% | – |
| LegalBench | 86.7% | – |
| CorpFin | 63.3% | – |
| TaxEval | 74.9% | – |
| Terminal-Bench 2.1 (Vals) | 73.8% | 67.8% |
| SWE-bench (Vals) | 79.6% | 82.8% |
| GPQA Diamond (Vals) | 93.4% | – |
| Vals Index | 55.4 | – |
| ARC-AGI-1 | 91.2% | – |
| ARC-AGI-2 | 60.4% | – |
| CritPt | 10.6% | 20.9% |
| GDPval (AA) | 41.6% | 45.3% |
| τ²-Bench Banking (AA) | 29.9% | 34.6% |
| ITBench SRE (AA) | – | 42.7% |
| APEX-Agents (AA) | – | 33.7% |
| BioMysteryBench | 58.5% | – |
| Code Migration | 30.9% | 37.9% |
| CyberBench | 48.5% | – |
| Excel Modeling Benchmark | 65.4% | – |
| Finance Agent v2 | 56.3% | – |
| Harvey's Legal Agent Benchmark | 3.3% | 7.1% |
| Legal Research Bench | 25.0% | 31.3% |
| MedCode | 53.1% | – |
| MedScribe | 79.7% | – |
| MMMU-Pro (Vals) | 88.4% | – |
| MortgageTax | 67.6% | – |
| ProgramBench | 0.0% | 0.5% |
| Public Benefits Bench | 56.6% | – |
| SAGE | 48.7% | – |
| SkillsBench | – | 45.1% |
| SREBench | – | 0.0% |
| Terminal-Bench 4.0 (Vals) | 4.5% | – |
| Terminal-Bench Science | 1.4% | – |
| Vals Multimodal Index | 65.1% | – |
| Vibe Code Bench v1.1 | 64.0% | 64.0% |
| LMArena Maths | 1504 | 1480 |
| LMArena Creative Writing | 1470 | 1451 |
| LMArena Instruction Following | 1473 | 1466 |
| LMArena Multi-turn | 1485 | 1469 |
| LMArena Longer Queries | 1487 | 1483 |
| LMArena Document | 1453 | – |
| Chess Puzzles | 40.0% | 21.0% |
| EBR-bench | – | 9.5% |
| Mystery Game Puzzles | 30.0% | – |
| PostTrainBench | – | 31.7% |
| DeepSWE | 46.7% | 43.8% |
| LMCA | 44.9% | 45.8% |
| DTBench | 95.5% | 93.6% |
| CursorBench | 53.5% | 55.0% |
| ALE-Bench | 715.5 | 1010.2 |
| GDP.pdf | 14.0% | – |
Data as of 2026-09-19. Best configuration of each model; every score links to its source on the model pages.
Gemini 3.6 Flash vs GLM-5.2: questions
- Is Gemini 3.6 Flash better than GLM-5.2?
- GLM-5.2 (max) leads on quality: 63.9 vs 61.7. The BenchLeader Index combines every independent quality benchmark; GLM-5.2 (max) is ahead overall as of 2026-09-19, but check the category scores for your use.
- Is Gemini 3.6 Flash better than GLM-5.2 for coding?
- GLM-5.2 scores higher in coding (64 vs 59 on the category index, where 50 is average).
- Is Gemini 3.6 Flash better than GLM-5.2 for agentic tasks?
- GLM-5.2 scores higher in agentic tasks (64 vs 54 on the category index, where 50 is average).
- Which is cheaper, Gemini 3.6 Flash or GLM-5.2?
- Gemini 3.6 Flash is cheaper: $1.50 against $2.15 per million tokens, blended at three input tokens per output token.
- Which is faster, Gemini 3.6 Flash or GLM-5.2?
- Gemini 3.6 Flash streams faster: 186 against 71 output tokens per second.
- Which has the larger context window?
- Gemini 3.6 Flash accepts more context: 1.0M against 1M tokens.