Gemini 2.5 Flash vs Gemini 3.7 Flash
Updated October 21, 2026. 55 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 55 shared
Decision reading
Pick Gemini 3.7 Flash for coding: it scores 69.9 on the Vibe Coding Index against 28.7 for Gemini 2.5 Flash.
Pick Gemini 2.5 Flash when output tokens cost 1.5x less, or when a solved task costs $0.466 against $1.78.
Model AGemini 2.5 FlashGoogle28.7/1001 independent benchmark$0.466 per solved taskModel BGemini 3.7 FlashGoogle69.9/1002 independent benchmarks$1.78 per solved task
- Shared results
- 55
- Gemini 2.5 Flash only
- 14
- Gemini 3.7 Flash only
- 57
- Like-for-like categories
- 7 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 3.7 Flash
Gemini 3.7 Flash scores 69.9 against 28.7.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.7 Flash
Gemini 3.7 Flash leads, 39.6 against 15.5.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Gemini 3.7 Flash has a GPQA Diamond result, 93.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.7 Flash has a MMLU Pro result, 90.1%.
Directional only
Web design
Design Arena: websites
Gemini 3.7 Flash
Gemini 3.7 Flash leads, 1304 against 1074.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 2.5 Flash
Gemini 2.5 Flash $0.0015, Gemini 3.7 Flash $0.0026 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Gemini 2.5 Flash
Gemini 2.5 Flash $0.466, Gemini 3.7 Flash $1.78.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 2.5 Flash 28.7 from 1 benchmark, Gemini 3.7 Flash 69.9 from 2 benchmarks.
- Widest category
- Web design, 33.8 points apart on average over 7 shared benchmarks.
- Widest single gap
- ARC-AGI-2: Gemini 2.5 Flash 2.5% against Gemini 3.7 Flash 84.6%, 82.0 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Flash $2.50 against Gemini 3.7 Flash $3.75 per million output tokens, 1.5x apart.
- Context window
- Both take 1.05M tokens.
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 | Gemini 3.7 Flash | Ties |
|---|---|---|---|---|
| Coding | 0 | 2 | ||
| Intelligence | 0 | 2 | ||
| Reasoning | 0 | 9 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 5 | ||
| Web design | 0 | 7 | ||
| General | 0 | 28 | ||
| All shared boards | 0 | 55 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index02
| Benchmark | Gemini 2.5 Flash | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| SWE-bench Verified | 28.7% | Not measured | Only Gemini 2.5 Flash measured |
| LiveBench coding | Not measured | 80.5% | Only Gemini 3.7 Flash measured |
| LMArena WebDev | Not measured | 1591 | Only Gemini 3.7 Flash measured |
| AA Coding Index | Not measured | 71.5 | Only Gemini 3.7 Flash measured |
| LiveCodeBench (Vals AI) | Not measured | 88.7% | Only Gemini 3.7 Flash measured |
| SWE-bench Verified (Vals AI) | Not measured | 80.8% | Only Gemini 3.7 Flash measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 12.1% | Only Gemini 3.7 Flash measured |
| Vibe Code Bench (Vals AI) | Not measured | 70.4% | Only Gemini 3.7 Flash measured |
| Code migration (Vals AI) | Not measured | 34.8% | Only Gemini 3.7 Flash measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Gemini 3.7 Flash measured |
| IOI (Vals AI) | Not measured | 67.8% | Only Gemini 3.7 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 77.5% | Only Gemini 3.7 Flash measured |
| SkillsBench (Vals AI) | Not measured | 65.9% | Only Gemini 3.7 Flash measured |
| CyberBench (Vals AI) | Not measured | 43.8% | Only Gemini 3.7 Flash measured |
| LiveCodeBench (Artificial Analysis run) | 69.5% | Not measured | Only Gemini 2.5 Flash measured |
| SciCode | Not measured | 59.8% | Only Gemini 3.7 Flash measured |
| Terminal-Bench Hard (Artificial Analysis run) | 13.6% | Not measured | Only Gemini 2.5 Flash measured |
| Terminal-Bench | 17.1% | Not measured | Only Gemini 2.5 Flash measured |
| FrontierCode | Not measured | 43.6% | Only Gemini 3.7 Flash measured |
| FrontierSWE | Not measured | 20.3% | Only Gemini 3.7 Flash measured |
| ALE-Bench | Not measured | 904.3 | Only Gemini 3.7 Flash measured |
| LMArena Text: coding | 1423 | 1499 | Gemini 3.7 Flash |
| LMArena Text: software and IT | 1425 | 1498 | Gemini 3.7 Flash |
| LMArena WebDev: React | Not measured | 1587 | Only Gemini 3.7 Flash measured |
| LMArena WebDev: HTML | Not measured | 1593 | Only Gemini 3.7 Flash measured |
| LMArena WebDev: from an image | Not measured | 1599 | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 2.5 Flash | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 15.5 | 39.6 | Gemini 3.7 Flash |
| Epoch Capabilities Index | 142.9 | 158.0 | Gemini 3.7 Flash |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
| Benchmark | Gemini 2.5 Flash | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1224 | Only Gemini 3.7 Flash measured |
| Design Arena: agents building full-stack apps | Not measured | 1208 | Only Gemini 3.7 Flash measured |
| Design Arena: agents building mobile apps | Not measured | 1230 | Only Gemini 3.7 Flash measured |
| Design Arena: agents building Android apps | Not measured | 1247 | Only Gemini 3.7 Flash measured |
| Design Arena: agents building Godot games | Not measured | 1264 | Only Gemini 3.7 Flash measured |
| Design Arena: agents building games | Not measured | 1235 | Only Gemini 3.7 Flash measured |
| Design Arena: spreadsheets | Not measured | 1028 | Only Gemini 3.7 Flash measured |
| LiveBench research | Not measured | 76.5% | Only Gemini 3.7 Flash measured |
| LiveBench browser | Not measured | 56.0% | Only Gemini 3.7 Flash measured |
| LiveBench long agentic | Not measured | 28.3% | Only Gemini 3.7 Flash measured |
| SREBench (Vals AI) | Not measured | 4.6% | Only Gemini 3.7 Flash measured |
| Finance Agent (Vals AI) | Not measured | 59.0% | Only Gemini 3.7 Flash measured |
| Tax Agent Bench (Vals AI) | Not measured | 22.8% | Only Gemini 3.7 Flash measured |
| Legal Research Bench (Vals AI) | Not measured | 34.6% | Only Gemini 3.7 Flash measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 71.3% | Only Gemini 3.7 Flash measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 7.1% | Only Gemini 3.7 Flash measured |
| τ²-Bench Telecom | 31.6% | Not measured | Only Gemini 2.5 Flash measured |
| APEX-Agents | Not measured | 67.8% | Only Gemini 3.7 Flash measured |
| Remote Labor Index | Not measured | 5.0% | Only Gemini 3.7 Flash measured |
| BALROG | 33.5% | Not measured | Only Gemini 2.5 Flash measured |
| Vending-Bench 2 | $549 | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 18 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
| Benchmark | Gemini 2.5 Flash | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 93.9% | Only Gemini 3.7 Flash measured |
| LiveBench reasoning | Not measured | 87.8% | Only Gemini 3.7 Flash measured |
| MMMU Pro (Vals AI) | Not measured | 89.0% | Only Gemini 3.7 Flash measured |
| GPQA Diamond (Artificial Analysis run) | 79.0% | 94.5% | Gemini 3.7 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 12.1% | 47.9% | Gemini 3.7 Flash |
| GPQA Diamond (Epoch AI run) | Not measured | 94.8% | Only Gemini 3.7 Flash measured |
| ARC-AGI | 33.3% | 95.5% | Gemini 3.7 Flash |
| ARC-AGI-2 | 2.5% | 84.6% | Gemini 3.7 Flash |
| SimpleBench | 41.2% | Not measured | Only Gemini 2.5 Flash measured |
| Chess puzzles | Not measured | 66.0% | Only Gemini 3.7 Flash measured |
| Mystery game puzzles | Not measured | 37.0% | Only Gemini 3.7 Flash measured |
| LMArena Text: hard prompts | 1422 | 1495 | Gemini 3.7 Flash |
| LMArena Text: expert | 1426 | 1512 | Gemini 3.7 Flash |
| LMArena Text: hard prompts in English | 1420 | 1487 | Gemini 3.7 Flash |
| LMArena Vision: diagrams | 1245 | 1329 | Gemini 3.7 Flash |
| LMArena Vision: homework | 1244 | 1320 | Gemini 3.7 Flash |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 2.5 Flash | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| 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 | 97.2% | Only Gemini 3.7 Flash measured |
| FrontierMath, tiers 1 to 3 | Not measured | 71.6% | Only Gemini 3.7 Flash measured |
| FrontierMath, tier 4 | Not measured | 36.6% | Only Gemini 3.7 Flash measured |
| ProofBench | Not measured | 58.0% | Only Gemini 3.7 Flash measured |
| LMArena Text: math | 1411 | 1511 | Gemini 3.7 Flash |
| LMArena Text: mathematical work | 1422 | 1502 | Gemini 3.7 Flash |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Gemini 2.5 Flash | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 90.1% | Only Gemini 3.7 Flash measured |
| LegalBench (Vals AI) | Not measured | 87.3% | Only Gemini 3.7 Flash measured |
| TaxEval (Vals AI) | Not measured | 74.7% | Only Gemini 3.7 Flash measured |
| MortgageTax (Vals AI) | Not measured | 66.7% | Only Gemini 3.7 Flash measured |
| MedCode (Vals AI) | 40.4% | 53.4% | Gemini 3.7 Flash |
| MMLU Pro (Artificial Analysis run) | 83.2% | Not measured | Only Gemini 2.5 Flash measured |
| SimpleQA Verified | Not measured | 69.2% | Only Gemini 3.7 Flash measured |
| LMArena Text: science | 1433 | 1511 | Gemini 3.7 Flash |
| LMArena Text: medicine and healthcare | 1428 | 1494 | Gemini 3.7 Flash |
| LMArena Text: legal and government | 1430 | 1496 | Gemini 3.7 Flash |
| LMArena Text: business and finance | 1404 | 1479 | Gemini 3.7 Flash |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Gemini 2.5 Flash | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1074 | 1304 | Gemini 3.7 Flash |
| Design Arena: UI components | 1005 | 1299 | Gemini 3.7 Flash |
| Design Arena: game dev | 1005 | 1318 | Gemini 3.7 Flash |
| Design Arena: data viz | 1060 | 1315 | Gemini 3.7 Flash |
| Design Arena: 3D | 1021 | 1308 | Gemini 3.7 Flash |
| Design Arena: all code categories | 1059 | 1308 | Gemini 3.7 Flash |
| Design Arena: SVG | 1018 | 1283 | Gemini 3.7 Flash |
| Design Arena: ASCII art | Not measured | 1276 | Only Gemini 3.7 Flash measured |
| LiveBench design | Not measured | 73.2% | Only Gemini 3.7 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index028
| Benchmark | Gemini 2.5 Flash | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 68.0% | Only Gemini 3.7 Flash measured |
| SAGE (Vals AI) | 44.8% | 49.2% | Gemini 3.7 Flash |
| MedScribe (Vals AI) | 83.0% | 83.9% | Gemini 3.7 Flash |
| IFBench | 50.3% | Not measured | Only Gemini 2.5 Flash measured |
| Long context reasoning (AA-LCR) | 65.3% | 83.0% | Gemini 3.7 Flash |
| DTBench | 76.5% | 96.8% | Gemini 3.7 Flash |
| LMCA | 27.5% | 50.4% | Gemini 3.7 Flash |
| Furniture assembly | Not measured | 26.7% | Only Gemini 3.7 Flash measured |
| LMArena Text | 1417 | 1489 | Gemini 3.7 Flash |
| LMArena Text: instruction following | 1405 | 1484 | Gemini 3.7 Flash |
| LMArena Text: creative writing | 1400 | 1488 | Gemini 3.7 Flash |
| LMArena Vision | 1235 | 1314 | Gemini 3.7 Flash |
| LMArena Text: English | 1418 | 1483 | Gemini 3.7 Flash |
| LMArena Text: non-English | 1409 | 1487 | Gemini 3.7 Flash |
| LMArena Text: Chinese | 1449 | 1552 | Gemini 3.7 Flash |
| LMArena Text: German | 1417 | 1506 | Gemini 3.7 Flash |
| LMArena Text: Japanese | 1396 | 1511 | Gemini 3.7 Flash |
| LMArena Text: Korean | 1385 | 1481 | Gemini 3.7 Flash |
| LMArena Text: French | 1432 | 1500 | Gemini 3.7 Flash |
| LMArena Text: Spanish | 1422 | 1495 | Gemini 3.7 Flash |
| LMArena Text: Russian | 1415 | 1515 | Gemini 3.7 Flash |
| LMArena Text: Polish | 1413 | 1503 | Gemini 3.7 Flash |
| LMArena Text: multi-turn | 1408 | 1485 | Gemini 3.7 Flash |
| LMArena Text: longer queries | 1419 | 1492 | Gemini 3.7 Flash |
| LMArena Text: writing and language | 1405 | 1491 | Gemini 3.7 Flash |
| LMArena Text: entertainment and media | 1393 | 1477 | Gemini 3.7 Flash |
| LMArena Vision: English | 1239 | 1309 | Gemini 3.7 Flash |
| LMArena Vision: Chinese | 1284 | 1394 | Gemini 3.7 Flash |
| LMArena Vision: reading text | 1237 | 1322 | Gemini 3.7 Flash |
| LMArena Vision: humor | 1225 | 1299 | Gemini 3.7 Flash |
| 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 | 1312 | Gemini 3.7 Flash |
| 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 | Gemini 3.7 Flash | 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$0.0015Fits in one request
Gemini 3.7 Flash$0.0026Fits in one request
Gemini 2.5 Flash costs less
Repository review
50K input + 3K output tokens
Gemini 2.5 Flash$0.022Fits in one request
Gemini 3.7 Flash$0.049Fits in one request
Gemini 2.5 Flash costs less
Agent loop
200K input + 10K output tokens
Gemini 2.5 Flash$0.085Fits in one request
Gemini 3.7 Flash$0.188Fits in one request
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 | Google Gemini 3.7 Flash |
|---|---|---|
| Maker | ||
| Weights | No public weights listed | No public weights listed |
| Released | June 17, 2025 | August 13, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.30 | $0.75 |
| Output $/Mtok | $2.50 | $3.75 |
| Coding index | 28.7 | 69.9 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | $0.466 | $1.78 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Flash better than Gemini 3.7 Flash for coding?
Pick Gemini 3.7 Flash for coding: it scores 69.9 on the Vibe Coding Index against 28.7 for Gemini 2.5 Flash. Pick Gemini 2.5 Flash when output tokens cost 1.5x less, or when a solved task costs $0.466 against $1.78.
Which is cheaper, Gemini 2.5 Flash or Gemini 3.7 Flash?
Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; Gemini 3.7 Flash costs $0.75 and $3.75. Per solved SWE-bench Verified task, Gemini 2.5 Flash costs $0.466 and Gemini 3.7 Flash $1.78.
Which has the bigger context window, Gemini 2.5 Flash or Gemini 3.7 Flash?
Neither: both take 1.05M tokens.
How many benchmarks is the Gemini 2.5 Flash vs Gemini 3.7 Flash comparison based on?
55 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash's coding index rests on 1 independent benchmark and Gemini 3.7 Flash's on 2. Where only one model has a result, the page says so instead of naming a winner.