Gemini 2.5 Flash vs o1
Gemini 2.5 Flash leads o1 on the Artificial Analysis Intelligence Index, 15.5 to 15.2, and Gemini 2.5 Flash costs 24.0x less per output token ($2.50 vs $60.00 per million). Updated October 22, 2026; 44 benchmarks have a result for both.
Gemini 2.5 Flash or o1: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Gemini 2.5 Flash for output tokens 24.0x cheaper ($2.50 vs $60.00 per million) and a larger context window (1.05M against 200K tokens).
- Shared results
- 44
- Gemini 2.5 Flash only
- 29
- o1 only
- 25
- Like-for-like categories
- 7 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Gemini 2.5 Flash
Gemini 2.5 Flash leads, 15.5 against 15.2.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only o1 has a GPQA Diamond result, 73.2%.
Directional only
Math
AIME
No call
Only o1 has a AIME result, 71.5%.
Directional only
Knowledge
MMLU Pro
No call
Only o1 has a MMLU Pro result, 83.5%.
Directional only
Web design
Design Arena: websites
No call
Only Gemini 2.5 Flash has a Design Arena: websites result, 1074.
Directional only
Long documents
Listed context window
Gemini 2.5 Flash
Gemini 2.5 Flash takes 1.05M tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 2.5 Flash
Gemini 2.5 Flash $0.0015, o1 $0.045 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 2.5 Flash has the number, $0.466.
Directional only
At a glance
- Coding index
- Gemini 2.5 Flash not benchmarked, o1 not benchmarked.
- Widest category
- Agentic work, 31.0 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Gemini 2.5 Flash 31.6% against o1 62.6%, 31.0 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Flash $2.50 against o1 $60.00 per million output tokens, 24.0x apart.
- Context window
- Gemini 2.5 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 2.5 Flash | Bars | o1 | Ties |
|---|---|---|---|---|
| Coding | 4 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 7 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 1 | ||
| General | 21 | 2 | ||
| All shared boards | 40 | 4 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
| Benchmark | Gemini 2.5 Flash | o1 | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 61.7% | Only o1 measured |
| SWE-bench Verified | 28.7% | Not measured | Only Gemini 2.5 Flash measured |
| AA Coding Index | Not measured | 39.7 | Only o1 measured |
| LiveCodeBench (Vals AI) | Not measured | 50.3% | Only o1 measured |
| LiveCodeBench (Artificial Analysis run) | 69.5% | 67.9% | Gemini 2.5 Flash |
| Terminal-Bench Hard (Artificial Analysis run) | 13.6% | 12.9% | Gemini 2.5 Flash |
| Terminal-Bench | 17.1% | Not measured | Only Gemini 2.5 Flash measured |
| WeirdML | Not measured | 46.1% | Only o1 measured |
| LMArena Text: coding | 1423 | 1367 | Gemini 2.5 Flash |
| LMArena Text: software and IT | 1425 | 1366 | Gemini 2.5 Flash |
| SciCode | Not measured | 4.6% | Only o1 measured |
| Neither model has a result on the other 28 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 2.5 Flash | o1 | Leader |
|---|---|---|---|
| AA Intelligence Index | 15.5 | 15.2 | Gemini 2.5 Flash |
| Epoch Capabilities Index | 142.9 | 141.7 | Gemini 2.5 Flash |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemini 2.5 Flash | o1 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 31.6% | 62.6% | o1 |
| METR time horizons | Not measured | 51.1% | Only o1 measured |
| BALROG | 33.5% | Not measured | Only Gemini 2.5 Flash measured |
| Vending-Bench 2 | $549 | Not measured | Only Gemini 2.5 Flash measured |
| Berkeley Function Calling Leaderboard (BFCL) | 56.2% | Not measured | Only Gemini 2.5 Flash measured |
| BrowseComp-Plus | 39.9% | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 35 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Gemini 2.5 Flash | o1 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 73.2% | Only o1 measured |
| MMMU Pro (Vals AI) | Not measured | 77.4% | Only o1 measured |
| GPQA Diamond (Artificial Analysis run) | 79.0% | 74.7% | Gemini 2.5 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 12.1% | 7.0% | Gemini 2.5 Flash |
| GPQA Diamond (Epoch AI run) | Not measured | 76.8% | Only o1 measured |
| ARC-AGI | 33.3% | 30.7% | Gemini 2.5 Flash |
| ARC-AGI-2 | 2.5% | Not measured | Only Gemini 2.5 Flash measured |
| SimpleBench | 41.2% | 40.1% | Gemini 2.5 Flash |
| Chess puzzles | Not measured | 10.0% | Only o1 measured |
| VPCT | Not measured | 37.0% | Only o1 measured |
| LMArena Text: hard prompts | 1422 | 1371 | Gemini 2.5 Flash |
| LMArena Text: expert | 1426 | 1361 | Gemini 2.5 Flash |
| LMArena Text: hard prompts in English | 1420 | 1372 | Gemini 2.5 Flash |
| LMArena Vision: diagrams | 1245 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: homework | 1244 | Not measured | Only Gemini 2.5 Flash measured |
| Kagi LLM Benchmark | 56.8% | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 2.5 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 |
| AA Math Index | 73.3 | Not measured | Only Gemini 2.5 Flash measured |
| AIME 2025 (Artificial Analysis run) | 73.3% | Not measured | Only Gemini 2.5 Flash measured |
| OTIS Mock AIME | Not measured | 73.3% | Only o1 measured |
| FrontierMath, tiers 1 to 3 | Not measured | 14.7% | Only o1 measured |
| MATH level 5 | Not measured | 94.7% | Only o1 measured |
| LMArena Text: math | 1411 | 1388 | Gemini 2.5 Flash |
| LMArena Text: mathematical work | 1422 | 1390 | Gemini 2.5 Flash |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | Gemini 2.5 Flash | o1 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 83.5% | Only o1 measured |
| LegalBench (Vals AI) | Not measured | 80.4% | Only o1 measured |
| TaxEval (Vals AI) | Not measured | 74.3% | Only o1 measured |
| MedQA (Vals AI) | Not measured | 96.5% | Only o1 measured |
| MedCode (Vals AI) | 40.4% | Not measured | Only Gemini 2.5 Flash measured |
| MMLU Pro (Artificial Analysis run) | 83.2% | 84.1% | o1 |
| SimpleQA Verified | Not measured | 41.1% | Only o1 measured |
| GeoBench | Not measured | 80.0% | Only o1 measured |
| LMArena Text: science | 1433 | 1369 | Gemini 2.5 Flash |
| LMArena Text: medicine and healthcare | 1428 | 1355 | Gemini 2.5 Flash |
| LMArena Text: legal and government | 1430 | 1368 | Gemini 2.5 Flash |
| LMArena Text: business and finance | 1404 | 1328 | Gemini 2.5 Flash |
| FACTS Benchmark Suite | 47.2% | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 5 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Gemini 2.5 Flash | o1 | Leader |
|---|---|---|---|
| Design Arena: websites | 1074 | Not measured | Only Gemini 2.5 Flash measured |
| Design Arena: UI components | 1002 | Not measured | Only Gemini 2.5 Flash measured |
| Design Arena: game dev | 1004 | Not measured | Only Gemini 2.5 Flash measured |
| Design Arena: data viz | 1060 | Not measured | Only Gemini 2.5 Flash measured |
| Design Arena: 3D | 1020 | Not measured | Only Gemini 2.5 Flash measured |
| Design Arena: all code categories | 1059 | Not measured | Only Gemini 2.5 Flash measured |
| Design Arena: SVG | 1020 | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index212
| Benchmark | Gemini 2.5 Flash | o1 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 44.8% | Not measured | Only Gemini 2.5 Flash measured |
| MedScribe (Vals AI) | 83.0% | Not measured | Only Gemini 2.5 Flash measured |
| IFBench | 50.3% | 70.3% | o1 |
| Long context reasoning (AA-LCR) | 65.3% | 65.0% | Gemini 2.5 Flash |
| DTBench | 76.5% | 74.7% | Gemini 2.5 Flash |
| LMCA | 27.5% | 22.3% | Gemini 2.5 Flash |
| Fiction.LiveBench | Not measured | 83.3% | Only o1 measured |
| Creative writing (Lech Mazur) | Not measured | 70.2% | Only o1 measured |
| LMArena Text | 1417 | 1366 | Gemini 2.5 Flash |
| LMArena Text: instruction following | 1405 | 1367 | Gemini 2.5 Flash |
| LMArena Text: creative writing | 1400 | 1347 | Gemini 2.5 Flash |
| LMArena Vision | 1235 | 1168 | Gemini 2.5 Flash |
| LMArena Text: English | 1418 | 1372 | Gemini 2.5 Flash |
| LMArena Text: non-English | 1409 | 1358 | Gemini 2.5 Flash |
| LMArena Text: Chinese | 1449 | 1394 | Gemini 2.5 Flash |
| LMArena Text: German | 1417 | 1337 | Gemini 2.5 Flash |
| LMArena Text: Japanese | 1396 | 1346 | Gemini 2.5 Flash |
| LMArena Text: Korean | 1385 | 1396 | o1 |
| LMArena Text: French | 1432 | 1344 | Gemini 2.5 Flash |
| LMArena Text: Spanish | 1422 | 1345 | Gemini 2.5 Flash |
| LMArena Text: Russian | 1415 | 1356 | Gemini 2.5 Flash |
| LMArena Text: Polish | 1413 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Text: multi-turn | 1408 | 1355 | Gemini 2.5 Flash |
| LMArena Text: longer queries | 1419 | 1378 | Gemini 2.5 Flash |
| LMArena Text: writing and language | 1405 | 1360 | Gemini 2.5 Flash |
| LMArena Text: entertainment and media | 1393 | 1358 | Gemini 2.5 Flash |
| LMArena Vision: English | 1239 | 1162 | Gemini 2.5 Flash |
| LMArena Vision: Chinese | 1284 | 1235 | Gemini 2.5 Flash |
| LMArena Vision: reading text | 1237 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: humor | 1225 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: captioning | 1277 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: recognizing things | 1252 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: creative writing | 1241 | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 2.5 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 2.5 Flash costs less
Repository review
50K input + 3K output tokens
Gemini 2.5 Flash costs less
Agent loop
200K input + 10K output tokens
Gemini 2.5 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 2.5 Flash | OpenAI o1 |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | June 17, 2025 | December 17, 2024 |
| Context window | 1.05M | 200K |
| Input $/Mtok | $0.30 | $15.00 |
| Output $/Mtok | $2.50 | $60.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | $0.466 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Flash better than o1 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash for output tokens 24.0x cheaper ($2.50 vs $60.00 per million) and a larger context window (1.05M against 200K tokens).
Which is cheaper, Gemini 2.5 Flash or o1?
Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; o1 costs $15.00 and $60.00. Cost per solved task is known for Gemini 2.5 Flash only.
Which has the bigger context window, Gemini 2.5 Flash or o1?
Gemini 2.5 Flash, with 1.05M tokens against 200K.
How many benchmarks is the Gemini 2.5 Flash vs o1 comparison based on?
44 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Flash's coding index rests on 0 independent benchmarks and o1's on 0. Where only one model has a result, the page says so instead of naming a winner.