Model comparison
Gemini 3 Flash Preview vs GLM-4.6
Gemini 3 Flash Preview is the stronger model overall, scoring 52.3 to 41.4 on the Noometry Index.
Last verified . 24 shared benchmarks.
GoogleSummary
- They share 24 benchmarks with published results for both. Gemini 3 Flash Preview scores higher in 9 categories and GLM-4.6 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3 Flash Preview leads 49.2 to 23.7.
- The biggest single-benchmark swing is Terminal-Bench: 64.3% for Gemini 3 Flash Preview and 24.5% for GLM-4.6.
- GLM-4.6 is cheaper at $0.60 / $2.20 per million input/output tokens, against $0.50 / $3 for Gemini 3 Flash Preview.
- Gemini 3 Flash Preview accepts more context: 1.05M tokens versus 205K.
- GLM-4.6 has downloadable open weights; the other is API-only.
Side by side
| Gemini 3 Flash Preview | GLM-4.6 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 52.3 | 41.4 |
| Released | 2025-12-17 | 2025-09-30 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 205K |
| Max output | 66K | 131K |
| Input $ / M tokens | $0.50 | $0.60 |
| Output $ / M tokens | $3 | $2.20 |
| Results tracked | 59 | 29 |
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Category by category
Coding Gemini 3 Flash Preview leads
Gemini 3 Flash Preview: 50.9 (#42), GLM-4.6: 40.1 (#148)
| Benchmark | Gemini 3 Flash Preview | GLM-4.6 |
|---|---|---|
| SWE-bench Verified (bash only) | 75.8% | 55.4% |
| LMArena WebDev | 1439 | 1340 |
| LMArena Coding | 1460 | 1449 |
| ALE-Bench | 1,367 | 340.82 |
| SWE-bench Verified | 75.4% | — |
| SWE-bench Multilingual | 72.7% | — |
| SciCode | — | 38.4% |
| GSO | 9.8% | — |
| WeirdML | 61.6% | — |
Agentic & Tool Use Gemini 3 Flash Preview leads
Gemini 3 Flash Preview: 38.7 (#29), GLM-4.6: 32.3 (#66)
| Benchmark | Gemini 3 Flash Preview | GLM-4.6 |
|---|---|---|
| Terminal-Bench | 64.3% | 24.5% |
| Berkeley Function Calling Leaderboard | — | 72.4% |
| τ²-bench Airline | 82.5% | — |
| τ²-bench Banking | 27.3% | — |
| τ²-bench Retail | 76.8% | — |
| τ²-bench Telecom | 91.2% | — |
| DeepResearch Bench | 49.8% | — |
| BALROG | 48.1% | — |
| GDP.pdf | 10% | — |
| LMArena Search | 1198 | — |
| Vending-Bench 2 | 3,635 | — |
Reasoning Gemini 3 Flash Preview leads
Gemini 3 Flash Preview: 49.2 (#37), GLM-4.6: 23.7 (#172)
| Benchmark | Gemini 3 Flash Preview | GLM-4.6 |
|---|---|---|
| LMArena Hard Prompts | 1465 | 1440 |
| ARC-AGI-2 | 33.6% | — |
| SimpleBench | 61.1% | — |
| Kagi LLM Benchmark | — | 47.4% |
| NYT Connections (extended) | 83.1% | — |
| ARC-AGI-1 | 84.7% | — |
| CritPt | — | 1.1% |
| Chess Puzzles | 40% | — |
| Mystery Game Puzzles | 26% | — |
| DTBench | 89.1% | — |
| LMCA | 43.1% | — |
| Epoch Capabilities Index | 151.8 | — |
| ForecastBench | 58.5 | — |
Math Gemini 3 Flash Preview leads
Gemini 3 Flash Preview: 51.7 (#55), GLM-4.6: 39.1 (#111)
| Benchmark | Gemini 3 Flash Preview | GLM-4.6 |
|---|---|---|
| LMArena Math | 1473 | 1432 |
| FrontierMath (Feb 2025 set) | 35.6% | 3.8% |
| FrontierMath Tier 4 (v1) | 4.2% | 2.1% |
| FrontierMath (Tiers 1-3) | 51.2% | — |
| FrontierMath Tier 4 | 17.1% | — |
| MathArena Final-Answer Competitions | 67.6% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | 15% | — |
Knowledge Gemini 3 Flash Preview leads
Gemini 3 Flash Preview: 58.8 (#33), GLM-4.6: 40.2 (#124)
| Benchmark | Gemini 3 Flash Preview | GLM-4.6 |
|---|---|---|
| Vectara Hallucination Rate | 13.5% | 9.5% |
| LMArena Expert | 1462 | 1431 |
| GPQA Diamond | 89.4% | — |
| SimpleQA Verified | 66.8% | — |
Multimodal Not comparable
Gemini 3 Flash Preview: 45.5 (#16), GLM-4.6: —
| Benchmark | Gemini 3 Flash Preview | GLM-4.6 |
|---|---|---|
| LMArena Vision | 1285 | — |
| GeoBench | 88% | — |
| VPCT | 72.6% | — |
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1413 | — |
Multilingual Gemini 3 Flash Preview leads
Gemini 3 Flash Preview: 55.7 (#27), GLM-4.6: 53.5 (#66)
| Benchmark | Gemini 3 Flash Preview | GLM-4.6 |
|---|---|---|
| LMArena Non-English | 1458 | 1426 |
| LMArena Chinese | 1511 | 1499 |
| LMArena French | 1477 | 1459 |
| LMArena German | 1497 | 1447 |
| LMArena Japanese | 1489 | 1393 |
| LMArena Korean | 1443 | 1400 |
| LMArena Russian | 1480 | 1419 |
| LMArena Spanish | 1469 | 1436 |
Instruction Following Gemini 3 Flash Preview leads
Gemini 3 Flash Preview: 75.7 (#56), GLM-4.6: 74.3 (#98)
| Benchmark | Gemini 3 Flash Preview | GLM-4.6 |
|---|---|---|
| LMArena Instruction Following | 1437 | 1410 |
Long Context Too close to call
Gemini 3 Flash Preview: 44.4 (#67), GLM-4.6: 43.4 (#94)
| Benchmark | Gemini 3 Flash Preview | GLM-4.6 |
|---|---|---|
| LMArena Longer Query | 1452 | 1422 |
Writing & Preference Gemini 3 Flash Preview leads
Gemini 3 Flash Preview: 65.5 (#45), GLM-4.6: 61.1 (#90)
| Benchmark | Gemini 3 Flash Preview | GLM-4.6 |
|---|---|---|
| LMArena Text | 1466 | 1440 |
| LMArena Creative Writing | 1457 | 1411 |
| LMArena Multi-Turn | 1471 | 1427 |
| EQ-Bench Creative Writing | — | 1411 |
Frequently asked questions
Is Gemini 3 Flash Preview better than GLM-4.6?
Gemini 3 Flash Preview is the stronger model overall, scoring 52.3 to 41.4 on the Noometry Index.
Which is cheaper, Gemini 3 Flash Preview or GLM-4.6?
GLM-4.6 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Gemini 3 Flash Preview lists at $0.50 and $3.
Is Gemini 3 Flash Preview or GLM-4.6 better for coding?
Gemini 3 Flash Preview scores higher on coding benchmarks: 50.9 versus 40.1 in the Noometry coding category.
Which has the bigger context window?
Gemini 3 Flash Preview does, with 1.05M tokens against 205K.
How many benchmarks do Gemini 3 Flash Preview and GLM-4.6 share?
24 benchmarks have published results for both models. Gemini 3 Flash Preview has 59 scored results on Noometry and GLM-4.6 has 29.