Model comparison
Gemini 1.5 Flash (May 2024) vs GLM-4.7-Flash
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 33.2 on the Noometry Index.
Last verified . 18 shared benchmarks.
GoogleSummary
- They share 18 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 2 categories and GLM-4.7-Flash in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.7-Flash leads 36.1 to 22.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 16.3% for Gemini 1.5 Flash (May 2024) and 58.3% for GLM-4.7-Flash.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 33.2 | 38.8 |
| Released | 2024-05-14 | 2026-01-19 |
| Weights | Proprietary | Open |
| Context window | — | 200K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.06 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 42 | 21 |
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Category by category
Coding GLM-4.7-Flash leads
Gemini 1.5 Flash (May 2024): 34.4 (#236), GLM-4.7-Flash: 40.6 (#135)
| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash |
|---|---|---|
| LMArena Coding | 1261 | 1383 |
| WeirdML | 24.9% | — |
| BigCodeBench Instruct | 43.5% | — |
| BigCodeBench Complete | 55.1% | — |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |
Agentic & Tool Use Not comparable
Gemini 1.5 Flash (May 2024): 26.6 (#102), GLM-4.7-Flash: —
| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash |
|---|---|---|
| BALROG | 14.6% | — |
Reasoning Too close to call
Gemini 1.5 Flash (May 2024): 21.7 (#215), GLM-4.7-Flash: 20.9 (#229)
| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1356 |
| Chess Puzzles | — | 0% |
| DTBench | 53.8% | — |
| Epoch Capabilities Index | 129.36 | — |
| ForecastBench | 53.9 | — |
| PIQA | 87.5% | — |
Math GLM-4.7-Flash leads
Gemini 1.5 Flash (May 2024): 22.1 (#281), GLM-4.7-Flash: 36.1 (#173)
| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.3% | 58.3% |
| LMArena Math | 1269 | 1355 |
| Omni-MATH | 30.4% | — |
| MATH Level 5 | 61.9% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
| GSM8K | 82.4% | — |
Knowledge GLM-4.7-Flash leads
Gemini 1.5 Flash (May 2024): 26.2 (#260), GLM-4.7-Flash: 35.5 (#184)
| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash |
|---|---|---|
| GPQA Diamond | 47.3% | 60.5% |
| LMArena Expert | 1233 | 1357 |
| MMLU-Pro | 67.8% | — |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | 43.7% | — |
| BoolQ | 85.8% | — |
| MMLU | 77.9% | — |
Multimodal Not comparable
Gemini 1.5 Flash (May 2024): 36.0 (#81), GLM-4.7-Flash: —
| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash |
|---|---|---|
| LMArena Vision | 1141 | — |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |
Multilingual GLM-4.7-Flash leads
Gemini 1.5 Flash (May 2024): 42.9 (#189), GLM-4.7-Flash: 46.5 (#158)
| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash |
|---|---|---|
| LMArena Non-English | 1278 | 1330 |
| LMArena Chinese | 1295 | 1403 |
| LMArena French | 1258 | 1332 |
| LMArena German | 1262 | 1337 |
| LMArena Korean | 1221 | 1283 |
| LMArena Russian | 1288 | 1332 |
| LMArena Spanish | 1243 | 1350 |
| LMArena Japanese | 1252 | — |
Instruction Following GLM-4.7-Flash leads
Gemini 1.5 Flash (May 2024): 66.8 (#205), GLM-4.7-Flash: 70.1 (#167)
| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash |
|---|---|---|
| LMArena Instruction Following | 1258 | 1327 |
| IFEval | 83.1% | — |
Long Context GLM-4.7-Flash leads
Gemini 1.5 Flash (May 2024): 39.0 (#187), GLM-4.7-Flash: 40.9 (#148)
| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash |
|---|---|---|
| LMArena Longer Query | 1284 | 1345 |
Writing & Preference Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 48.7 (#196), GLM-4.7-Flash: 47.4 (#210)
| Benchmark | Gemini 1.5 Flash (May 2024) | GLM-4.7-Flash |
|---|---|---|
| LMArena Text | 1287 | 1351 |
| LMArena Creative Writing | 1285 | 1297 |
| LMArena Multi-Turn | 1253 | 1342 |
| EQ-Bench Creative Writing | — | 1125 |
| WildBench | 79.2% | — |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than GLM-4.7-Flash?
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 33.2 on the Noometry Index.
Is Gemini 1.5 Flash (May 2024) or GLM-4.7-Flash better for coding?
GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 34.4 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash (May 2024) and GLM-4.7-Flash share?
18 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and GLM-4.7-Flash has 21.