Model comparison
Gemini 2.5 Flash vs o4-mini
o4-mini is the stronger model overall, scoring 41.6 to 39.3 on the Noometry Index. Gemini 2.5 Flash costs 2.3× less per token, which makes it the better buy when o4-mini's lead doesn't matter for your workload.
Last verified . 48 shared benchmarks.
GoogleSummary
- They share 48 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 4 categories and o4-mini in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where o4-mini leads 43.6 to 36.4.
- The biggest single-benchmark swing is GPQA (HELM): 39% for Gemini 2.5 Flash and 73.5% for o4-mini.
- Gemini 2.5 Flash is cheaper at $0.30 / $2.50 per million input/output tokens, against $1.10 / $4.40 for o4-mini.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 200K.
Side by side
| Gemini 2.5 Flash | o4-mini | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 39.3 | 41.6 |
| Released | 2025-04-17 | 2025-04-16 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 200K |
| Max output | 66K | 100K |
| Input $ / M tokens | $0.30 | $1.10 |
| Output $ / M tokens | $2.50 | $4.40 |
| Results tracked | 54 | 60 |
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Category by category
Coding o4-mini leads
Gemini 2.5 Flash: 35.8 (#220), o4-mini: 40.9 (#127)
| Benchmark | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| SWE-bench Verified (bash only) | 28.7% | 45% |
| Aider Polyglot | 55.1% | 72% |
| WeirdML | 41.9% | 52.6% |
| LMArena Coding | 1424 | 1368 |
| ALE-Bench | 661.88 | 826.17 |
| GSO | — | 3.6% |
| CadEval | — | 62% |
| AlgoTune | — | 1.72 |
Agentic & Tool Use o4-mini leads
Gemini 2.5 Flash: 30.8 (#74), o4-mini: 32.6 (#61)
| Benchmark | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 56.2% | 53.2% |
| Terminal-Bench | 17.1% | — |
| GDPval | — | 25.3% |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| METR Time Horizons | — | 63.9% |
| Vending-Bench 2 | 548.84 | — |
Reasoning o4-mini leads
Gemini 2.5 Flash: 18.1 (#286), o4-mini: 24.6 (#162)
| Benchmark | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| ARC-AGI-2 | 2.5% | 6.1% |
| SimpleBench | 41.2% | 38.7% |
| Kagi LLM Benchmark | 56.8% | 67.6% |
| ARC-AGI-1 | 33.3% | 58.7% |
| CritPt | 1.1% | 0.6% |
| EnigmaEval | 2.7% | 9.2% |
| LMArena Hard Prompts | 1422 | 1351 |
| DTBench | 76.5% | 77.6% |
| LMCA | 27.5% | 26.5% |
| Epoch Capabilities Index | 143.03 | 145.64 |
| ForecastBench | 60.6 | 61.8 |
| Chess Puzzles | — | 26% |
| Mystery Game Puzzles | — | 5% |
Math Too close to call
Gemini 2.5 Flash: 39.9 (#98), o4-mini: 40.8 (#89)
| Benchmark | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.1% | 81.7% |
| Omni-MATH | 38.5% | 72% |
| LMArena Math | 1415 | 1389 |
| FrontierMath (Feb 2025 set) | 4.8% | 24.8% |
| FrontierMath Tier 4 (v1) | 4.2% | 6.3% |
| FrontierMath (Tiers 1-3) | — | 36.1% |
| FrontierMath Tier 4 | — | 4.9% |
| MATH Level 5 | — | 97.8% |
Knowledge o4-mini leads
Gemini 2.5 Flash: 36.4 (#168), o4-mini: 43.6 (#91)
| Benchmark | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| Humanity's Last Exam | 12.1% | 18.1% |
| MMLU-Pro | 63.9% | 82% |
| Confabulations | 16.8% | 15.8% |
| Vectara Hallucination Rate | 7.8% | 18.6% |
| GPQA (HELM) | 39% | 73.5% |
| LMArena Expert | 1426 | 1343 |
| GPQA Diamond | — | 79.6% |
| SimpleQA Verified | — | 19.6% |
Multimodal Gemini 2.5 Flash leads
Gemini 2.5 Flash: 41.8 (#32), o4-mini: 40.2 (#49)
| Benchmark | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| LMArena Vision | 1253 | 1194 |
| GeoBench | 76% | 64% |
| VPCT | 46.2% | 57.5% |
| SpatialViz-Bench | 36.9% | — |
Multilingual Gemini 2.5 Flash leads
Gemini 2.5 Flash: 52.3 (#88), o4-mini: 47.0 (#154)
| Benchmark | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| LMArena Non-English | 1409 | 1337 |
| LMArena Chinese | 1450 | 1354 |
| LMArena French | 1433 | 1364 |
| LMArena German | 1418 | 1336 |
| LMArena Japanese | 1405 | 1308 |
| LMArena Korean | 1385 | 1312 |
| LMArena Russian | 1415 | 1334 |
| LMArena Spanish | 1421 | 1347 |
Instruction Following Too close to call
Gemini 2.5 Flash: 75.7 (#54), o4-mini: 75.2 (#68)
| Benchmark | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| IFEval | 89.8% | 92.8% |
| LMArena Instruction Following | 1405 | 1321 |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#17), o4-mini: 45.5 (#33)
| Benchmark | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| Fiction.LiveBench | 77.8% | 77.8% |
| LMArena Longer Query | 1419 | 1315 |
Writing & Preference Too close to call
Gemini 2.5 Flash: 53.8 (#157), o4-mini: 54.0 (#152)
| Benchmark | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| LMArena Text | 1417 | 1353 |
| LMArena Creative Writing | 1400 | 1294 |
| Short-Story Creative Writing | 76.5% | 75% |
| WildBench | 81.7% | 85.4% |
| LMArena Multi-Turn | 1408 | 1350 |
| EQ-Bench Creative Writing | 1137 | — |
Frequently asked questions
Is Gemini 2.5 Flash better than o4-mini?
o4-mini is the stronger model overall, scoring 41.6 to 39.3 on the Noometry Index. Gemini 2.5 Flash costs 2.3× less per token, which makes it the better buy when o4-mini's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Flash or o4-mini?
Gemini 2.5 Flash is cheaper. It lists at $0.30 per million input tokens and $2.50 per million output tokens; o4-mini lists at $1.10 and $4.40.
Is Gemini 2.5 Flash or o4-mini better for coding?
o4-mini scores higher on coding benchmarks: 40.9 versus 35.8 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash does, with 1.05M tokens against 200K.
How many benchmarks do Gemini 2.5 Flash and o4-mini share?
48 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and o4-mini has 60.