Model comparison
Gemini 2.5 Flash vs GLM-4.5-Air
Gemini 2.5 Flash and GLM-4.5-Air score almost the same on the Noometry Index (39.3 vs 38.9), so choose on price, context window or the category you care about most.
Last verified . 26 shared benchmarks.
GoogleSummary
- They share 26 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 6 categories and GLM-4.5-Air in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Gemini 2.5 Flash leads 75.7 to 69.6.
- The biggest single-benchmark swing is GPQA (HELM): 39% for Gemini 2.5 Flash and 59.4% for GLM-4.5-Air.
- GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $0.30 / $2.50 for Gemini 2.5 Flash.
- Gemini 2.5 Flash 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 | GLM-4.5-Air | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 39.3 | 38.9 |
| Released | 2025-04-17 | 2025-07-20 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 66K | 98K |
| Input $ / M tokens | $0.30 | $0.20 |
| Output $ / M tokens | $2.50 | $1.10 |
| Results tracked | 54 | 27 |
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Category by category
Coding Gemini 2.5 Flash leads
Gemini 2.5 Flash: 35.8 (#220), GLM-4.5-Air: 33.3 (#259)
| Benchmark | Gemini 2.5 Flash | GLM-4.5-Air |
|---|---|---|
| LMArena Coding | 1424 | 1397 |
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| GSO | — | 2.9% |
| WeirdML | 41.9% | — |
| ALE-Bench | 661.88 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash: 30.8 (#74), GLM-4.5-Air: —
| Benchmark | Gemini 2.5 Flash | GLM-4.5-Air |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning GLM-4.5-Air leads
Gemini 2.5 Flash: 18.1 (#286), GLM-4.5-Air: 24.1 (#166)
| Benchmark | Gemini 2.5 Flash | GLM-4.5-Air |
|---|---|---|
| Kagi LLM Benchmark | 56.8% | 43% |
| LMArena Hard Prompts | 1422 | 1379 |
| ForecastBench | 60.6 | 59.2 |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| ARC-AGI-1 | 33.3% | — |
| CritPt | 1.1% | — |
| EnigmaEval | 2.7% | — |
| DTBench | 76.5% | — |
| LMCA | 27.5% | — |
| Epoch Capabilities Index | 143.03 | — |
Math Gemini 2.5 Flash leads
Gemini 2.5 Flash: 39.9 (#98), GLM-4.5-Air: 36.2 (#170)
| Benchmark | Gemini 2.5 Flash | GLM-4.5-Air |
|---|---|---|
| Omni-MATH | 38.5% | 39.1% |
| LMArena Math | 1415 | 1396 |
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Flash leads
Gemini 2.5 Flash: 36.4 (#168), GLM-4.5-Air: 35.0 (#191)
| Benchmark | Gemini 2.5 Flash | GLM-4.5-Air |
|---|---|---|
| Humanity's Last Exam | 12.1% | 8.1% |
| MMLU-Pro | 63.9% | 76.2% |
| Vectara Hallucination Rate | 7.8% | 9.3% |
| GPQA (HELM) | 39% | 59.4% |
| LMArena Expert | 1426 | 1370 |
| Confabulations | 16.8% | — |
Multimodal Not comparable
Gemini 2.5 Flash: 41.8 (#32), GLM-4.5-Air: —
| Benchmark | Gemini 2.5 Flash | GLM-4.5-Air |
|---|---|---|
| LMArena Vision | 1253 | — |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Gemini 2.5 Flash leads
Gemini 2.5 Flash: 52.3 (#88), GLM-4.5-Air: 49.1 (#135)
| Benchmark | Gemini 2.5 Flash | GLM-4.5-Air |
|---|---|---|
| LMArena Non-English | 1409 | 1366 |
| LMArena Chinese | 1450 | 1426 |
| LMArena French | 1433 | 1399 |
| LMArena German | 1418 | 1377 |
| LMArena Japanese | 1405 | 1348 |
| LMArena Korean | 1385 | 1308 |
| LMArena Russian | 1415 | 1373 |
| LMArena Spanish | 1421 | 1386 |
Instruction Following Gemini 2.5 Flash leads
Gemini 2.5 Flash: 75.7 (#54), GLM-4.5-Air: 69.6 (#171)
| Benchmark | Gemini 2.5 Flash | GLM-4.5-Air |
|---|---|---|
| IFEval | 89.8% | 81.2% |
| LMArena Instruction Following | 1405 | 1354 |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#17), GLM-4.5-Air: 41.6 (#135)
| Benchmark | Gemini 2.5 Flash | GLM-4.5-Air |
|---|---|---|
| LMArena Longer Query | 1419 | 1366 |
| Fiction.LiveBench | 77.8% | — |
Writing & Preference GLM-4.5-Air leads
Gemini 2.5 Flash: 53.8 (#157), GLM-4.5-Air: 55.9 (#139)
| Benchmark | Gemini 2.5 Flash | GLM-4.5-Air |
|---|---|---|
| LMArena Text | 1417 | 1384 |
| LMArena Creative Writing | 1400 | 1343 |
| WildBench | 81.7% | 78.9% |
| LMArena Multi-Turn | 1408 | 1371 |
| Short-Story Creative Writing | 76.5% | — |
| EQ-Bench Creative Writing | 1137 | — |
Frequently asked questions
Is Gemini 2.5 Flash better than GLM-4.5-Air?
Gemini 2.5 Flash and GLM-4.5-Air score almost the same on the Noometry Index (39.3 vs 38.9), so choose on price, context window or the category you care about most.
Which is cheaper, Gemini 2.5 Flash or GLM-4.5-Air?
GLM-4.5-Air is cheaper. It lists at $0.20 per million input tokens and $1.10 per million output tokens; Gemini 2.5 Flash lists at $0.30 and $2.50.
Is Gemini 2.5 Flash or GLM-4.5-Air better for coding?
Gemini 2.5 Flash scores higher on coding benchmarks: 35.8 versus 33.3 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash does, with 1.05M tokens against 131K.
How many benchmarks do Gemini 2.5 Flash and GLM-4.5-Air share?
26 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and GLM-4.5-Air has 27.