Model comparison
Gemini 2.5 Flash-Lite vs GLM-4.5-Air
GLM-4.5-Air is the stronger model overall, scoring 38.9 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 2.4× less per token, which makes it the better buy when GLM-4.5-Air's lead doesn't matter for your workload.
Last verified . 24 shared benchmarks.
GoogleSummary
- They share 24 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 5 categories and GLM-4.5-Air in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in long context, where GLM-4.5-Air leads 41.6 to 33.3.
- The biggest single-benchmark swing is GPQA (HELM): 30.9% for Gemini 2.5 Flash-Lite and 59.4% for GLM-4.5-Air.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.20 / $1.10 for GLM-4.5-Air.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 131K.
- GLM-4.5-Air has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash-Lite | GLM-4.5-Air | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 37.0 | 38.9 |
| Released | 2025-06-17 | 2025-07-20 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 66K | 98K |
| Input $ / M tokens | $0.10 | $0.20 |
| Output $ / M tokens | $0.40 | $1.10 |
| Results tracked | 33 | 27 |
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Category by category
Coding Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.5 (#173), GLM-4.5-Air: 33.3 (#259)
| Benchmark | Gemini 2.5 Flash-Lite | GLM-4.5-Air |
|---|---|---|
| LMArena Coding | 1373 | 1397 |
| GSO | — | 2.9% |
| WeirdML | 35.2% | — |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash-Lite: 28.0 (#96), GLM-4.5-Air: —
| Benchmark | Gemini 2.5 Flash-Lite | GLM-4.5-Air |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
Reasoning GLM-4.5-Air leads
Gemini 2.5 Flash-Lite: 22.2 (#205), GLM-4.5-Air: 24.1 (#166)
| Benchmark | Gemini 2.5 Flash-Lite | GLM-4.5-Air |
|---|---|---|
| Kagi LLM Benchmark | 40.5% | 43% |
| LMArena Hard Prompts | 1377 | 1379 |
| DTBench | 62.8% | — |
| LMCA | 18.1% | — |
| Epoch Capabilities Index | 133.94 | — |
| ForecastBench | — | 59.2 |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#144), GLM-4.5-Air: 36.2 (#170)
| Benchmark | Gemini 2.5 Flash-Lite | GLM-4.5-Air |
|---|---|---|
| Omni-MATH | 48% | 39.1% |
| LMArena Math | 1373 | 1396 |
Knowledge GLM-4.5-Air leads
Gemini 2.5 Flash-Lite: 32.5 (#210), GLM-4.5-Air: 35.0 (#191)
| Benchmark | Gemini 2.5 Flash-Lite | GLM-4.5-Air |
|---|---|---|
| MMLU-Pro | 53.7% | 76.2% |
| Vectara Hallucination Rate | 3.3% | 9.3% |
| GPQA (HELM) | 30.9% | 59.4% |
| LMArena Expert | 1373 | 1370 |
| Humanity's Last Exam | — | 8.1% |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 29.1 (#114), GLM-4.5-Air: —
| Benchmark | Gemini 2.5 Flash-Lite | GLM-4.5-Air |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Too close to call
Gemini 2.5 Flash-Lite: 49.3 (#134), GLM-4.5-Air: 49.1 (#135)
| Benchmark | Gemini 2.5 Flash-Lite | GLM-4.5-Air |
|---|---|---|
| LMArena Non-English | 1369 | 1366 |
| LMArena Chinese | 1404 | 1426 |
| LMArena French | 1388 | 1399 |
| LMArena German | 1389 | 1377 |
| LMArena Japanese | 1359 | 1348 |
| LMArena Korean | 1360 | 1308 |
| LMArena Russian | 1373 | 1373 |
| LMArena Spanish | 1396 | 1386 |
Instruction Following Too close to call
Gemini 2.5 Flash-Lite: 70.0 (#168), GLM-4.5-Air: 69.6 (#171)
| Benchmark | Gemini 2.5 Flash-Lite | GLM-4.5-Air |
|---|---|---|
| IFEval | 81% | 81.2% |
| LMArena Instruction Following | 1367 | 1354 |
Long Context GLM-4.5-Air leads
Gemini 2.5 Flash-Lite: 33.3 (#262), GLM-4.5-Air: 41.6 (#135)
| Benchmark | Gemini 2.5 Flash-Lite | GLM-4.5-Air |
|---|---|---|
| LMArena Longer Query | 1373 | 1366 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Too close to call
Gemini 2.5 Flash-Lite: 56.8 (#135), GLM-4.5-Air: 55.9 (#139)
| Benchmark | Gemini 2.5 Flash-Lite | GLM-4.5-Air |
|---|---|---|
| LMArena Text | 1379 | 1384 |
| LMArena Creative Writing | 1367 | 1343 |
| WildBench | 81.8% | 78.9% |
| LMArena Multi-Turn | 1366 | 1371 |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than GLM-4.5-Air?
GLM-4.5-Air is the stronger model overall, scoring 38.9 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 2.4× less per token, which makes it the better buy when GLM-4.5-Air's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Flash-Lite or GLM-4.5-Air?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; GLM-4.5-Air lists at $0.20 and $1.10.
Is Gemini 2.5 Flash-Lite or GLM-4.5-Air better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 33.3 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 131K.
How many benchmarks do Gemini 2.5 Flash-Lite and GLM-4.5-Air share?
24 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and GLM-4.5-Air has 27.