Model comparison
Gemini 3.8 Flash vs o4-mini
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 41.6 on the Noometry Index.
Last verified . 34 shared benchmarks.
GoogleSummary
- They share 34 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 10 categories and o4-mini in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.8 Flash leads 76.9 to 24.6.
- The biggest single-benchmark swing is ARC-AGI-2: 89.2% for Gemini 3.8 Flash and 6.1% for o4-mini.
- Gemini 3.8 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $1.10 / $4.40 for o4-mini.
- Gemini 3.8 Flash accepts more context: 1.05M tokens versus 200K.
Side by side
| Gemini 3.8 Flash | o4-mini | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 61.8 | 41.6 |
| Released | 2026-09-02 | 2025-04-16 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 200K |
| Max output | 66K | 100K |
| Input $ / M tokens | $0.75 | $1.10 |
| Output $ / M tokens | $3.75 | $4.40 |
| Results tracked | 50 | 60 |
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Category by category
Coding Gemini 3.8 Flash leads
Gemini 3.8 Flash: 59.2 (#15), o4-mini: 40.9 (#127)
| Benchmark | Gemini 3.8 Flash | o4-mini |
|---|---|---|
| WeirdML | 84.8% | 52.6% |
| LMArena Coding | 1510 | 1368 |
| ALE-Bench | 1,270 | 826.17 |
| DeepSWE | 73.8% | — |
| FrontierCode | 41.2% | — |
| SWE-bench Verified (bash only) | — | 45% |
| Aider Polyglot | — | 72% |
| CursorBench | 39.6% | — |
| LMArena WebDev | 1584 | — |
| FrontierSWE | 19.6% | — |
| SciCode | 56.6% | — |
| GSO | — | 3.6% |
| CadEval | — | 62% |
| AlgoTune | — | 1.72 |
Agentic & Tool Use Gemini 3.8 Flash leads
Gemini 3.8 Flash: 41.8 (#21), o4-mini: 32.6 (#61)
| Benchmark | Gemini 3.8 Flash | o4-mini |
|---|---|---|
| APEX-Agents | 64.3% | — |
| Berkeley Function Calling Leaderboard | — | 53.2% |
| GDPval | — | 25.3% |
| Remote Labor Index | 5.8% | — |
| GDP.pdf | 23.4% | — |
| METR Time Horizons | — | 63.9% |
| Vending-Bench 2 | 5,094 | — |
Reasoning Gemini 3.8 Flash leads
Gemini 3.8 Flash: 76.9 (#5), o4-mini: 24.6 (#162)
| Benchmark | Gemini 3.8 Flash | o4-mini |
|---|---|---|
| ARC-AGI-2 | 89.2% | 6.1% |
| ARC-AGI-1 | 98.5% | 58.7% |
| CritPt | 18.3% | 0.6% |
| Chess Puzzles | 61% | 26% |
| LMArena Hard Prompts | 1508 | 1351 |
| Mystery Game Puzzles | 47% | 5% |
| DTBench | 95.7% | 77.6% |
| LMCA | 52.9% | 26.5% |
| Epoch Capabilities Index | 156.71 | 145.64 |
| SimpleBench | — | 38.7% |
| Kagi LLM Benchmark | — | 67.6% |
| NYT Connections (extended) | 97.4% | — |
| EnigmaEval | — | 9.2% |
| Surface Evolver Bench | 76.9% | — |
| ForecastBench | — | 61.8 |
Math Gemini 3.8 Flash leads
Gemini 3.8 Flash: 65.3 (#28), o4-mini: 40.8 (#89)
| Benchmark | Gemini 3.8 Flash | o4-mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 68.4% | 36.1% |
| FrontierMath Tier 4 | 22% | 4.9% |
| OTIS Mock AIME 2024-2025 | 98.9% | 81.7% |
| LMArena Math | 1528 | 1389 |
| ProofBench | 48% | — |
| Omni-MATH | — | 72% |
| MATH Level 5 | — | 97.8% |
| FrontierMath (Feb 2025 set) | — | 24.8% |
| FrontierMath Tier 4 (v1) | — | 6.3% |
Knowledge Gemini 3.8 Flash leads
Gemini 3.8 Flash: 74.8 (#2), o4-mini: 43.6 (#91)
| Benchmark | Gemini 3.8 Flash | o4-mini |
|---|---|---|
| GPQA Diamond | 95.4% | 79.6% |
| Humanity's Last Exam | 44.5% | 18.1% |
| SimpleQA Verified | 69.7% | 19.6% |
| LMArena Expert | 1524 | 1343 |
| MMLU-Pro | — | 82% |
| Confabulations | — | 15.8% |
| Vectara Hallucination Rate | — | 18.6% |
| GPQA (HELM) | — | 73.5% |
Multimodal Too close to call
Gemini 3.8 Flash: 40.7 (#45), o4-mini: 40.2 (#49)
| Benchmark | Gemini 3.8 Flash | o4-mini |
|---|---|---|
| LMArena Vision | 1314 | 1194 |
| GeoBench | — | 64% |
| VPCT | — | 57.5% |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 31.7% | — |
Multilingual Gemini 3.8 Flash leads
Gemini 3.8 Flash: 58.0 (#5), o4-mini: 47.0 (#154)
| Benchmark | Gemini 3.8 Flash | o4-mini |
|---|---|---|
| LMArena Non-English | 1491 | 1337 |
| LMArena Chinese | 1554 | 1354 |
| LMArena French | 1498 | 1364 |
| LMArena German | 1493 | 1336 |
| LMArena Japanese | 1502 | 1308 |
| LMArena Korean | 1459 | 1312 |
| LMArena Russian | 1515 | 1334 |
| LMArena Spanish | 1485 | 1347 |
Instruction Following Gemini 3.8 Flash leads
Gemini 3.8 Flash: 78.0 (#13), o4-mini: 75.2 (#68)
| Benchmark | Gemini 3.8 Flash | o4-mini |
|---|---|---|
| LMArena Instruction Following | 1490 | 1321 |
| IFEval | — | 92.8% |
Long Context Too close to call
Gemini 3.8 Flash: 46.3 (#24), o4-mini: 45.5 (#33)
| Benchmark | Gemini 3.8 Flash | o4-mini |
|---|---|---|
| LMArena Longer Query | 1508 | 1315 |
| Fiction.LiveBench | — | 77.8% |
Writing & Preference Gemini 3.8 Flash leads
Gemini 3.8 Flash: 72.2 (#15), o4-mini: 54.0 (#152)
| Benchmark | Gemini 3.8 Flash | o4-mini |
|---|---|---|
| LMArena Text | 1499 | 1353 |
| LMArena Creative Writing | 1492 | 1294 |
| LMArena Multi-Turn | 1501 | 1350 |
| Short-Story Creative Writing | — | 75% |
| EQ-Bench Creative Writing | 1748 | — |
| WildBench | — | 85.4% |
Frequently asked questions
Is Gemini 3.8 Flash better than o4-mini?
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 41.6 on the Noometry Index.
Which is cheaper, Gemini 3.8 Flash or o4-mini?
Gemini 3.8 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; o4-mini lists at $1.10 and $4.40.
Is Gemini 3.8 Flash or o4-mini better for coding?
Gemini 3.8 Flash scores higher on coding benchmarks: 59.2 versus 40.9 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.8 Flash does, with 1.05M tokens against 200K.
How many benchmarks do Gemini 3.8 Flash and o4-mini share?
34 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and o4-mini has 60.