Model comparison
Gemini 2.5 Flash vs GLM-4.5V
Gemini 2.5 Flash and GLM-4.5V score almost the same on the Noometry Index (39.3 vs 39.8), so choose on price, context window or the category you care about most.
Last verified . 15 shared benchmarks.
GoogleSummary
- They share 15 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 6 categories and GLM-4.5V in 3 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.5V leads 27.4 to 18.1.
- Gemini 2.5 Flash is cheaper at $0.30 / $2.50 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 64K.
- GLM-4.5V has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash | GLM-4.5V | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 39.3 | 39.8 |
| Released | 2025-04-17 | 2025-08-11 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 64K |
| Max output | 66K | 16K |
| Input $ / M tokens | $0.30 | $0.60 |
| Output $ / M tokens | $2.50 | $1.80 |
| Results tracked | 54 | 15 |
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Category by category
Coding GLM-4.5V leads
Gemini 2.5 Flash: 35.8 (#220), GLM-4.5V: 39.5 (#155)
| Benchmark | Gemini 2.5 Flash | GLM-4.5V |
|---|---|---|
| LMArena Coding | 1424 | 1347 |
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| WeirdML | 41.9% | — |
| ALE-Bench | 661.88 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash: 30.8 (#74), GLM-4.5V: —
| Benchmark | Gemini 2.5 Flash | GLM-4.5V |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning GLM-4.5V leads
Gemini 2.5 Flash: 18.1 (#286), GLM-4.5V: 27.4 (#119)
| Benchmark | Gemini 2.5 Flash | GLM-4.5V |
|---|---|---|
| Kagi LLM Benchmark | 56.8% | 59.8% |
| LMArena Hard Prompts | 1422 | 1334 |
| 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 | — |
| ForecastBench | 60.6 | — |
Math Gemini 2.5 Flash leads
Gemini 2.5 Flash: 39.9 (#98), GLM-4.5V: 37.4 (#159)
| Benchmark | Gemini 2.5 Flash | GLM-4.5V |
|---|---|---|
| LMArena Math | 1415 | 1354 |
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| Omni-MATH | 38.5% | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge GLM-4.5V leads
Gemini 2.5 Flash: 36.4 (#168), GLM-4.5V: 37.5 (#156)
| Benchmark | Gemini 2.5 Flash | GLM-4.5V |
|---|---|---|
| LMArena Expert | 1426 | 1353 |
| Humanity's Last Exam | 12.1% | — |
| MMLU-Pro | 63.9% | — |
| Confabulations | 16.8% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |
Multimodal Gemini 2.5 Flash leads
Gemini 2.5 Flash: 41.8 (#32), GLM-4.5V: 34.3 (#92)
| Benchmark | Gemini 2.5 Flash | GLM-4.5V |
|---|---|---|
| LMArena Vision | 1253 | 1154 |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Gemini 2.5 Flash leads
Gemini 2.5 Flash: 52.3 (#88), GLM-4.5V: 44.6 (#177)
| Benchmark | Gemini 2.5 Flash | GLM-4.5V |
|---|---|---|
| LMArena Non-English | 1409 | 1303 |
| LMArena Chinese | 1450 | 1337 |
| LMArena Russian | 1415 | 1298 |
| LMArena Spanish | 1421 | 1336 |
| LMArena French | 1433 | — |
| LMArena German | 1418 | — |
| LMArena Japanese | 1405 | — |
| LMArena Korean | 1385 | — |
Instruction Following Gemini 2.5 Flash leads
Gemini 2.5 Flash: 75.7 (#54), GLM-4.5V: 69.2 (#175)
| Benchmark | Gemini 2.5 Flash | GLM-4.5V |
|---|---|---|
| LMArena Instruction Following | 1405 | 1311 |
| IFEval | 89.8% | — |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#17), GLM-4.5V: 39.6 (#171)
| Benchmark | Gemini 2.5 Flash | GLM-4.5V |
|---|---|---|
| LMArena Longer Query | 1419 | 1304 |
| Fiction.LiveBench | 77.8% | — |
Writing & Preference Gemini 2.5 Flash leads
Gemini 2.5 Flash: 53.8 (#157), GLM-4.5V: 52.5 (#170)
| Benchmark | Gemini 2.5 Flash | GLM-4.5V |
|---|---|---|
| LMArena Text | 1417 | 1333 |
| LMArena Creative Writing | 1400 | 1295 |
| LMArena Multi-Turn | 1408 | 1332 |
| Short-Story Creative Writing | 76.5% | — |
| EQ-Bench Creative Writing | 1137 | — |
| WildBench | 81.7% | — |
Frequently asked questions
Is Gemini 2.5 Flash better than GLM-4.5V?
Gemini 2.5 Flash and GLM-4.5V score almost the same on the Noometry Index (39.3 vs 39.8), so choose on price, context window or the category you care about most.
Which is cheaper, Gemini 2.5 Flash or GLM-4.5V?
Gemini 2.5 Flash is cheaper. It lists at $0.30 per million input tokens and $2.50 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.
Is Gemini 2.5 Flash or GLM-4.5V better for coding?
GLM-4.5V scores higher on coding benchmarks: 39.5 versus 35.8 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash does, with 1.05M tokens against 64K.
How many benchmarks do Gemini 2.5 Flash and GLM-4.5V share?
15 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and GLM-4.5V has 15.