Model comparison
Gemini 3.6 Flash vs GLM-5.3
Gemini 3.6 Flash and GLM-5.3 score almost the same on the Noometry Index (54.1 vs 54.8), so choose on price, context window or the category you care about most.
Last verified . 38 shared benchmarks.
Summary
- They share 38 benchmarks with published results for both. Gemini 3.6 Flash scores higher in 3 categories and GLM-5.3 in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.6 Flash leads 58.8 to 46.1.
- The biggest single-benchmark swing is SimpleQA Verified: 66.2% for Gemini 3.6 Flash and 41% for GLM-5.3.
- Gemini 3.6 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $1.40 / $4.40 for GLM-5.3.
- Gemini 3.6 Flash accepts more context: 1.05M tokens versus 1M.
- GLM-5.3 has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.6 Flash | GLM-5.3 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 54.1 | 54.8 |
| Released | 2026-07-21 | 2026-08-14 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 1M |
| Max output | 66K | 131K |
| Input $ / M tokens | $0.75 | $1.40 |
| Output $ / M tokens | $3.75 | $4.40 |
| Results tracked | 46 | 42 |
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Category by category
Coding GLM-5.3 leads
Gemini 3.6 Flash: 50.0 (#48), GLM-5.3: 59.5 (#14)
| Benchmark | Gemini 3.6 Flash | GLM-5.3 |
|---|---|---|
| DeepSWE | 46.7% | 69% |
| FrontierCode | 34.4% | 40.1% |
| LMArena WebDev | 1538 | 1622 |
| SciCode | 52.7% | 59% |
| WeirdML | 56.1% | 75.4% |
| LMArena Coding | 1491 | 1496 |
| ALE-Bench | 715.52 | 1,317 |
| CursorBench | — | 42.6% |
| FrontierSWE | — | 30.2% |
Agentic & Tool Use GLM-5.3 leads
Gemini 3.6 Flash: 32.3 (#65), GLM-5.3: 36.4 (#38)
| Benchmark | Gemini 3.6 Flash | GLM-5.3 |
|---|---|---|
| APEX-Agents | 46.9% | 56.6% |
| GDP.pdf | 14% | — |
| Vending-Bench 2 | — | 8,164 |
Reasoning Gemini 3.6 Flash leads
Gemini 3.6 Flash: 58.8 (#22), GLM-5.3: 46.1 (#46)
| Benchmark | Gemini 3.6 Flash | GLM-5.3 |
|---|---|---|
| NYT Connections (extended) | 89% | 74.2% |
| CritPt | 10.6% | 19.1% |
| Chess Puzzles | 43% | 21% |
| LMArena Hard Prompts | 1485 | 1489 |
| Mystery Game Puzzles | 30% | 33% |
| DTBench | 95.5% | 87.7% |
| LMCA | 44.9% | 55.5% |
| Epoch Capabilities Index | 154.25 | 155.61 |
| ARC-AGI-2 | 60.4% | — |
| ARC-AGI-1 | 91.2% | — |
| Bench to the Future 3 | — | 0.15 |
Math GLM-5.3 leads
Gemini 3.6 Flash: 57.3 (#40), GLM-5.3: 62.3 (#33)
| Benchmark | Gemini 3.6 Flash | GLM-5.3 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 58.9% | 68.8% |
| FrontierMath Tier 4 | 22% | 29.3% |
| OTIS Mock AIME 2024-2025 | 94.2% | 91.1% |
| ProofBench | 36% | 49% |
| LMArena Math | 1505 | 1489 |
| MathArena Final-Answer Competitions | 70.8% | — |
Knowledge Gemini 3.6 Flash leads
Gemini 3.6 Flash: 67.8 (#8), GLM-5.3: 58.3 (#37)
| Benchmark | Gemini 3.6 Flash | GLM-5.3 |
|---|---|---|
| GPQA Diamond | 94.1% | 90.9% |
| SimpleQA Verified | 66.2% | 41% |
| LMArena Expert | 1488 | 1516 |
Multimodal Not comparable
Gemini 3.6 Flash: 38.5 (#64), GLM-5.3: —
| Benchmark | Gemini 3.6 Flash | GLM-5.3 |
|---|---|---|
| LMArena Vision | 1298 | — |
| Blueprint-Bench 2 | 31.2% | — |
| Furniture Assembly | 23.3% | — |
| LMArena Document | 1456 | — |
Multilingual Too close to call
Gemini 3.6 Flash: 56.5 (#19), GLM-5.3: 55.7 (#28)
| Benchmark | Gemini 3.6 Flash | GLM-5.3 |
|---|---|---|
| LMArena Non-English | 1469 | 1457 |
| LMArena Chinese | 1531 | 1528 |
| LMArena French | 1504 | 1499 |
| LMArena German | 1478 | 1499 |
| LMArena Japanese | 1476 | 1453 |
| LMArena Korean | 1431 | 1472 |
| LMArena Russian | 1487 | 1463 |
| LMArena Spanish | 1475 | 1460 |
Instruction Following Too close to call
Gemini 3.6 Flash: 77.0 (#33), GLM-5.3: 77.5 (#23)
| Benchmark | Gemini 3.6 Flash | GLM-5.3 |
|---|---|---|
| LMArena Instruction Following | 1466 | 1477 |
Long Context Too close to call
Gemini 3.6 Flash: 45.1 (#50), GLM-5.3: 45.4 (#41)
| Benchmark | Gemini 3.6 Flash | GLM-5.3 |
|---|---|---|
| LMArena Longer Query | 1474 | 1482 |
Writing & Preference GLM-5.3 leads
Gemini 3.6 Flash: 68.2 (#27), GLM-5.3: 75.7 (#6)
| Benchmark | Gemini 3.6 Flash | GLM-5.3 |
|---|---|---|
| LMArena Text | 1479 | 1471 |
| LMArena Creative Writing | 1465 | 1457 |
| EQ-Bench Creative Writing | 1604 | 2075 |
| LMArena Multi-Turn | 1481 | 1472 |
Frequently asked questions
Is Gemini 3.6 Flash better than GLM-5.3?
Gemini 3.6 Flash and GLM-5.3 score almost the same on the Noometry Index (54.1 vs 54.8), so choose on price, context window or the category you care about most.
Which is cheaper, Gemini 3.6 Flash or GLM-5.3?
Gemini 3.6 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; GLM-5.3 lists at $1.40 and $4.40.
Is Gemini 3.6 Flash or GLM-5.3 better for coding?
GLM-5.3 scores higher on coding benchmarks: 59.5 versus 50.0 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.6 Flash does, with 1.05M tokens against 1M.
How many benchmarks do Gemini 3.6 Flash and GLM-5.3 share?
38 benchmarks have published results for both models. Gemini 3.6 Flash has 46 scored results on Noometry and GLM-5.3 has 42.