Gemini 3.8 Flash vs o1
Updated October 21, 2026. 51 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
vs boards won of 51 shared
Decision reading
Pick Gemini 3.8 Flash for coding: it scores 70.5 on the Vibe Coding Index against 61.7 for o1.
o1 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Model AGemini 3.8 FlashGoogle70.5/1002 independent benchmarks$2.74 per solved taskModel Bo1OpenAI61.7/1001 independent benchmarkNo cost per solved task
- Shared results
- 51
- Gemini 3.8 Flash only
- 75
- o1 only
- 17
- Like-for-like categories
- 6 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, four public coding benchmarks
Gemini 3.8 Flash
Gemini 3.8 Flash scores 70.5 against 61.7.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 40.9 against 15.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemini 3.8 Flash has a AA Agentic Index result, 40.2.
Directional only
Reasoning
GPQA Diamond
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 94.4% against 73.2%.
Same board, both measured
Math
AIME
No call
Only o1 has a AIME result, 71.5%.
Directional only
Knowledge
MMLU Pro
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 90.2% against 83.5%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Gemini 3.8 Flash has a Design Arena: websites result, 1301.
Directional only
General
Vals Index
No call
Only Gemini 3.8 Flash has a Vals Index result, 56.0%.
Directional only
Long documents
Listed context window
Gemini 3.8 Flash
Gemini 3.8 Flash takes 1.05M tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.8 Flash
Gemini 3.8 Flash $0.0029, o1 $0.045 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.8 Flash has the number, $2.74.
Directional only
At a glance
- Coding index
- Gemini 3.8 Flash 70.5 from 2 benchmarks, o1 61.7 from 1 benchmark.
- Widest category
- Coding, 32.3 points apart on average over 5 shared benchmarks.
- Widest single gap
- ARC-AGI: Gemini 3.8 Flash 98.5% against o1 30.7%, 67.8 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.8 Flash $4.125 against o1 $60.00 per million output tokens, 14.5x apart.
- Context window
- Gemini 3.8 Flash takes 1.05M tokens, o1 200K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Gemini 3.8 Flash | Bars | o1 | Ties |
|---|---|---|---|---|
| Coding | 5 | 0 | ||
| Intelligence | 2 | 0 | ||
| Reasoning | 10 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 8 | 0 | ||
| General | 22 | 0 | ||
| All shared boards | 51 | 0 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index50
| Benchmark | Gemini 3.8 Flash | o1 | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 61.7% | Only o1 measured |
| LiveBench coding | 82.2% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena WebDev | 1585 | Not measured | Only Gemini 3.8 Flash measured |
| AA Coding Index | 76.3 | 39.7 | Gemini 3.8 Flash |
| LiveCodeBench (Vals AI) | 89.5% | 50.3% | Gemini 3.8 Flash |
| SWE-bench Verified (Vals AI) | 80.0% | Not measured | Only Gemini 3.8 Flash measured |
| Terminal-Bench 4 (Vals AI) | 19.7% | Not measured | Only Gemini 3.8 Flash measured |
| Vibe Code Bench (Vals AI) | 78.7% | Not measured | Only Gemini 3.8 Flash measured |
| Code migration (Vals AI) | 36.5% | Not measured | Only Gemini 3.8 Flash measured |
| ProgramBench (Vals AI) | 1.0% | Not measured | Only Gemini 3.8 Flash measured |
| IOI (Vals AI) | 56.9% | Not measured | Only Gemini 3.8 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | 81.3% | Not measured | Only Gemini 3.8 Flash measured |
| SWE-bench Multimodal (Vals AI) | 40.8% | Not measured | Only Gemini 3.8 Flash measured |
| Vibe Code Bench 1-100 (Vals AI) | 18.8% | Not measured | Only Gemini 3.8 Flash measured |
| SkillsBench (Vals AI) | 58.0% | Not measured | Only Gemini 3.8 Flash measured |
| CyberBench (Vals AI) | 43.8% | Not measured | Only Gemini 3.8 Flash measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 67.9% | Only o1 measured |
| SciCode | 56.6% | Not measured | Only Gemini 3.8 Flash measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 12.9% | Only o1 measured |
| FrontierCode | 41.2% | Not measured | Only Gemini 3.8 Flash measured |
| FrontierSWE | 19.6% | Not measured | Only Gemini 3.8 Flash measured |
| WeirdML | 84.8% | 46.1% | Gemini 3.8 Flash |
| ALE-Bench | 1269.7 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: coding | 1508 | 1367 | Gemini 3.8 Flash |
| LMArena Text: software and IT | 1507 | 1366 | Gemini 3.8 Flash |
| LMArena WebDev: React | 1577 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena WebDev: HTML | 1616 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena WebDev: from an image | 1593 | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 10 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 3.8 Flash | o1 | Leader |
|---|---|---|---|
| AA Intelligence Index | 40.9 | 15.2 | Gemini 3.8 Flash |
| Epoch Capabilities Index | 157.4 | 141.7 | Gemini 3.8 Flash |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index27 boards, none shared
| Benchmark | Gemini 3.8 Flash | o1 | Leader |
|---|---|---|---|
| AA Agentic Index | 40.2 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building web apps | 1238 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building full-stack apps | 1244 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building mobile apps | 1236 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building Android apps | 1078 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building Godot games | 1273 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: PowerPoint slides | 1178 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: spreadsheets | 1052 | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench research | 79.1% | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench browser | 64.0% | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench long agentic | 30.1% | Not measured | Only Gemini 3.8 Flash measured |
| SREBench (Vals AI) | 11.1% | Not measured | Only Gemini 3.8 Flash measured |
| Finance Agent (Vals AI) | 61.4% | Not measured | Only Gemini 3.8 Flash measured |
| Tax Agent Bench (Vals AI) | 32.1% | Not measured | Only Gemini 3.8 Flash measured |
| Legal Research Bench (Vals AI) | 38.9% | Not measured | Only Gemini 3.8 Flash measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 12.1% | Not measured | Only Gemini 3.8 Flash measured |
| Excel Modeling Benchmark (Vals AI) | 72.2% | Not measured | Only Gemini 3.8 Flash measured |
| BioMysteryBench (Vals AI) | 62.2% | Not measured | Only Gemini 3.8 Flash measured |
| Terminal-Bench-Science (Vals AI) | 8.6% | Not measured | Only Gemini 3.8 Flash measured |
| Vals Science Index | 35.8% | Not measured | Only Gemini 3.8 Flash measured |
| Time Horizon Index (Vals AI) | 18.8% | Not measured | Only Gemini 3.8 Flash measured |
| CUA-bench (Vals AI) | 4.2% | Not measured | Only Gemini 3.8 Flash measured |
| τ²-Bench Telecom | Not measured | 62.6% | Only o1 measured |
| APEX-Agents | 64.3% | Not measured | Only Gemini 3.8 Flash measured |
| METR time horizons | Not measured | 51.1% | Only o1 measured |
| Remote Labor Index | 5.8% | Not measured | Only Gemini 3.8 Flash measured |
| Vending-Bench 2 | $5,094 | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 12 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
| Benchmark | Gemini 3.8 Flash | o1 | Leader |
|---|---|---|---|
| GPQA Diamond | 94.4% | 73.2% | Gemini 3.8 Flash |
| LiveBench reasoning | 89.3% | Not measured | Only Gemini 3.8 Flash measured |
| MysteryMechanism (Vals AI) | 36.5% | Not measured | Only Gemini 3.8 Flash measured |
| MMMU Pro (Vals AI) | 89.1% | 77.4% | Gemini 3.8 Flash |
| GPQA Diamond (Artificial Analysis run) | 95.3% | 74.7% | Gemini 3.8 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 47.8% | 7.0% | Gemini 3.8 Flash |
| GPQA Diamond (Epoch AI run) | 95.4% | 76.8% | Gemini 3.8 Flash |
| ARC-AGI | 98.5% | 30.7% | Gemini 3.8 Flash |
| ARC-AGI-2 | 89.2% | Not measured | Only Gemini 3.8 Flash measured |
| SimpleBench | Not measured | 40.1% | Only o1 measured |
| Chess puzzles | 58.0% | 10.0% | Gemini 3.8 Flash |
| Mystery game puzzles | 47.0% | Not measured | Only Gemini 3.8 Flash measured |
| VPCT | Not measured | 37.0% | Only o1 measured |
| LMArena Text: hard prompts | 1509 | 1371 | Gemini 3.8 Flash |
| LMArena Text: expert | 1526 | 1361 | Gemini 3.8 Flash |
| LMArena Text: hard prompts in English | 1504 | 1372 | Gemini 3.8 Flash |
| LMArena Vision: diagrams | 1345 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: homework | 1351 | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 3 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemini 3.8 Flash | o1 | Leader |
|---|---|---|---|
| AIME | Not measured | 71.5% | Only o1 measured |
| MATH 500 (Vals AI) | Not measured | 90.4% | Only o1 measured |
| MGSM (Vals AI) | Not measured | 89.3% | Only o1 measured |
| OTIS Mock AIME | 98.9% | 73.3% | Gemini 3.8 Flash |
| FrontierMath, tiers 1 to 3 | 68.4% | 14.7% | Gemini 3.8 Flash |
| FrontierMath, tier 4 | 22.0% | Not measured | Only Gemini 3.8 Flash measured |
| ProofBench | 48.0% | Not measured | Only Gemini 3.8 Flash measured |
| MATH level 5 | Not measured | 94.7% | Only o1 measured |
| LMArena Text: math | 1532 | 1388 | Gemini 3.8 Flash |
| LMArena Text: mathematical work | 1519 | 1390 | Gemini 3.8 Flash |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Gemini 3.8 Flash | o1 | Leader |
|---|---|---|---|
| MMLU Pro | 90.2% | 83.5% | Gemini 3.8 Flash |
| LegalBench (Vals AI) | 87.0% | 80.4% | Gemini 3.8 Flash |
| TaxEval (Vals AI) | 74.5% | 74.3% | Gemini 3.8 Flash |
| MortgageTax (Vals AI) | 65.3% | Not measured | Only Gemini 3.8 Flash measured |
| MedQA (Vals AI) | Not measured | 96.5% | Only o1 measured |
| MedCode (Vals AI) | 48.1% | Not measured | Only Gemini 3.8 Flash measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 84.1% | Only o1 measured |
| SimpleQA Verified | 69.7% | 41.1% | Gemini 3.8 Flash |
| GeoBench | Not measured | 80.0% | Only o1 measured |
| LMArena Text: science | 1523 | 1369 | Gemini 3.8 Flash |
| LMArena Text: medicine and healthcare | 1508 | 1355 | Gemini 3.8 Flash |
| LMArena Text: legal and government | 1497 | 1368 | Gemini 3.8 Flash |
| LMArena Text: business and finance | 1479 | 1328 | Gemini 3.8 Flash |
| Neither model has a result on the other 4 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Gemini 3.8 Flash | o1 | Leader |
|---|---|---|---|
| Design Arena: websites | 1301 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: UI components | 1318 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: game dev | 1305 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: data viz | 1269 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: 3D | 1295 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: all code categories | 1304 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: SVG | 1295 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: ASCII art | 1264 | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench design | 72.7% | Not measured | Only Gemini 3.8 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index220
| Benchmark | Gemini 3.8 Flash | o1 | Leader |
|---|---|---|---|
| Vals Index | 56.0% | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench data analysis | 54.0% | Not measured | Only Gemini 3.8 Flash measured |
| Public Benefits Bench (Vals AI) | 65.3% | Not measured | Only Gemini 3.8 Flash measured |
| SAGE (Vals AI) | 35.1% | Not measured | Only Gemini 3.8 Flash measured |
| MedScribe (Vals AI) | 84.5% | Not measured | Only Gemini 3.8 Flash measured |
| IFBench | Not measured | 70.3% | Only o1 measured |
| Long context reasoning (AA-LCR) | 84.0% | 65.0% | Gemini 3.8 Flash |
| DTBench | 95.7% | 74.7% | Gemini 3.8 Flash |
| LMCA | 52.9% | 22.3% | Gemini 3.8 Flash |
| Fiction.LiveBench | Not measured | 83.3% | Only o1 measured |
| Creative writing (Lech Mazur) | Not measured | 70.2% | Only o1 measured |
| Surface Evolver Bench | 76.9% | Not measured | Only Gemini 3.8 Flash measured |
| Furniture assembly | 31.7% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text | 1499 | 1366 | Gemini 3.8 Flash |
| LMArena Text: instruction following | 1492 | 1367 | Gemini 3.8 Flash |
| LMArena Text: creative writing | 1488 | 1347 | Gemini 3.8 Flash |
| LMArena Vision | 1315 | 1168 | Gemini 3.8 Flash |
| LMArena Text: English | 1498 | 1372 | Gemini 3.8 Flash |
| LMArena Text: non-English | 1491 | 1358 | Gemini 3.8 Flash |
| LMArena Text: Chinese | 1553 | 1394 | Gemini 3.8 Flash |
| LMArena Text: German | 1501 | 1337 | Gemini 3.8 Flash |
| LMArena Text: Japanese | 1507 | 1346 | Gemini 3.8 Flash |
| LMArena Text: Korean | 1464 | 1396 | Gemini 3.8 Flash |
| LMArena Text: French | 1496 | 1344 | Gemini 3.8 Flash |
| LMArena Text: Spanish | 1487 | 1345 | Gemini 3.8 Flash |
| LMArena Text: Russian | 1514 | 1356 | Gemini 3.8 Flash |
| LMArena Text: Polish | 1497 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: multi-turn | 1503 | 1355 | Gemini 3.8 Flash |
| LMArena Text: longer queries | 1507 | 1378 | Gemini 3.8 Flash |
| LMArena Text: writing and language | 1494 | 1360 | Gemini 3.8 Flash |
| LMArena Text: entertainment and media | 1480 | 1358 | Gemini 3.8 Flash |
| LMArena Vision: English | 1318 | 1162 | Gemini 3.8 Flash |
| LMArena Vision: Chinese | 1416 | 1235 | Gemini 3.8 Flash |
| LMArena Vision: reading text | 1333 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: humor | 1321 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: creative writing | 1299 | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 10 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.8 Flash | o1 | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Gemini 3.8 Flash$0.0029Fits in one request
o1$0.045Fits in one request
Gemini 3.8 Flash costs less
Repository review
50K input + 3K output tokens
Gemini 3.8 Flash$0.054Fits in one request
o1$0.930Fits in one request
Gemini 3.8 Flash costs less
Agent loop
200K input + 10K output tokens
Gemini 3.8 Flash$0.206Fits in one request
o1$3.60Exceeds the context window
Gemini 3.8 Flash costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Google Gemini 3.8 Flash | OpenAI o1 |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | September 2, 2026 | December 17, 2024 |
| Context window | 1.05M | 200K |
| Input $/Mtok | $0.825 | $15.00 |
| Output $/Mtok | $4.125 | $60.00 |
| Coding index | 70.5 | 61.7 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | $2.74 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.8 Flash better than o1 for coding?
Pick Gemini 3.8 Flash for coding: it scores 70.5 on the Vibe Coding Index against 61.7 for o1. o1 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, Gemini 3.8 Flash or o1?
Gemini 3.8 Flash costs $0.825 per million input tokens and $4.125 per million output tokens; o1 costs $15.00 and $60.00. Cost per solved task is known for Gemini 3.8 Flash only.
Which has the bigger context window, Gemini 3.8 Flash or o1?
Gemini 3.8 Flash, with 1.05M tokens against 200K.
How many benchmarks is the Gemini 3.8 Flash vs o1 comparison based on?
51 benchmarks have a result for both models as of October 21, 2026. Gemini 3.8 Flash's coding index rests on 2 independent benchmarks and o1's on 1. Where only one model has a result, the page says so instead of naming a winner.