LLMBenchmark.ai

Enter opens the highlighted result. Esc closes.

Gemini 2.5 Pro Preview 06-05 vs Gemini 3.7 Flash

Updated October 21, 2026. 5 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 2.5 Pro Preview 06-05Google
Coding
83.1
Overall
No data
Output $/M
$10.00
0
Gemini 3.7 FlashGoogle
Coding
69.9
Overall
39.6
Output $/M
$3.75
5
vs boards won of 5 shared

Decision reading

Pick Gemini 2.5 Pro Preview 06-05 for coding: it scores 83.1 on the Vibe Coding Index against 69.9 for Gemini 3.7 Flash, though on 1 benchmark against 2.

Pick Gemini 3.7 Flash when output tokens cost 2.7x less, or when what matters is LiveCodeBench (Vals AI) or Remote Labor Index, where it leads.

Shared results
5
Gemini 2.5 Pro Preview 06-05 only
9
Gemini 3.7 Flash only
107
Like-for-like categories
3 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.

At a glance

Coding index
Gemini 2.5 Pro Preview 06-05 83.1 from 1 benchmark, Gemini 3.7 Flash 69.9 from 2 benchmarks.
Widest category
Reasoning, 16.3 points apart on average over 3 shared benchmarks.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): Gemini 2.5 Pro Preview 06-05 19.9% against Gemini 3.7 Flash 47.9%, 28.0 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro Preview 06-05 $10.00 against Gemini 3.7 Flash $3.75 per million output tokens, 2.7x 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.

Boards won, where both have a result
CategoryGemini 2.5 Pro Preview 06-05BarsGemini 3.7 FlashTies
Coding01
Agentic work01
Reasoning03
All shared boards05
CodingLike-for-likeFour of these boards feed the Vibe Coding Index01
Coding benchmarks for Gemini 2.5 Pro Preview 06-05 and Gemini 3.7 Flash
BenchmarkGemini 2.5 Pro Preview 06-05Gemini 3.7 FlashLeader
Aider polyglot83.1%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LiveBench codingNot measured80.5%Only Gemini 3.7 Flash measured
LMArena WebDevNot measured1591Only Gemini 3.7 Flash measured
AA Coding IndexNot measured71.5Only Gemini 3.7 Flash measured
LiveCodeBench (Vals AI)79.2%88.7%Gemini 3.7 Flash
SWE-bench Verified (Vals AI)Not measured80.8%Only Gemini 3.7 Flash measured
Terminal-Bench 4 (Vals AI)Not measured12.1%Only Gemini 3.7 Flash measured
Vibe Code Bench (Vals AI)Not measured70.4%Only Gemini 3.7 Flash measured
Code migration (Vals AI)Not measured34.8%Only Gemini 3.7 Flash measured
ProgramBench (Vals AI)Not measured0.0%Only Gemini 3.7 Flash measured
IOI (Vals AI)Not measured67.8%Only Gemini 3.7 Flash measured
Terminal-Bench 2.1 (Vals AI)Not measured77.5%Only Gemini 3.7 Flash measured
SkillsBench (Vals AI)Not measured65.9%Only Gemini 3.7 Flash measured
CyberBench (Vals AI)Not measured43.8%Only Gemini 3.7 Flash measured
LiveCodeBench (Artificial Analysis run)77.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
SciCodeNot measured59.8%Only Gemini 3.7 Flash measured
FrontierCodeNot measured43.6%Only Gemini 3.7 Flash measured
FrontierSWENot measured20.3%Only Gemini 3.7 Flash measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
ALE-BenchNot measured904.3Only Gemini 3.7 Flash measured
LMArena Text: codingNot measured1499Only Gemini 3.7 Flash measured
LMArena Text: software and ITNot measured1498Only Gemini 3.7 Flash measured
LMArena WebDev: ReactNot measured1587Only Gemini 3.7 Flash measured
LMArena WebDev: HTMLNot measured1593Only Gemini 3.7 Flash measured
LMArena WebDev: from an imageNot measured1599Only Gemini 3.7 Flash measured
Neither model has a result on the other 13 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Gemini 2.5 Pro Preview 06-05 and Gemini 3.7 Flash
BenchmarkGemini 2.5 Pro Preview 06-05Gemini 3.7 FlashLeader
AA Intelligence IndexNot measured39.6Only Gemini 3.7 Flash measured
Epoch Capabilities IndexNot measured158.0Only Gemini 3.7 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemini 2.5 Pro Preview 06-05 and Gemini 3.7 Flash
BenchmarkGemini 2.5 Pro Preview 06-05Gemini 3.7 FlashLeader
Design Arena: agents building web appsNot measured1224Only Gemini 3.7 Flash measured
Design Arena: agents building full-stack appsNot measured1208Only Gemini 3.7 Flash measured
Design Arena: agents building mobile appsNot measured1230Only Gemini 3.7 Flash measured
Design Arena: agents building Android appsNot measured1247Only Gemini 3.7 Flash measured
Design Arena: agents building Godot gamesNot measured1264Only Gemini 3.7 Flash measured
Design Arena: agents building gamesNot measured1235Only Gemini 3.7 Flash measured
Design Arena: spreadsheetsNot measured1028Only Gemini 3.7 Flash measured
LiveBench researchNot measured76.5%Only Gemini 3.7 Flash measured
LiveBench browserNot measured56.0%Only Gemini 3.7 Flash measured
LiveBench long agenticNot measured28.3%Only Gemini 3.7 Flash measured
SREBench (Vals AI)Not measured4.6%Only Gemini 3.7 Flash measured
Finance Agent (Vals AI)Not measured59.0%Only Gemini 3.7 Flash measured
Tax Agent Bench (Vals AI)Not measured22.8%Only Gemini 3.7 Flash measured
Legal Research Bench (Vals AI)Not measured34.6%Only Gemini 3.7 Flash measured
Excel Modeling Benchmark (Vals AI)Not measured71.3%Only Gemini 3.7 Flash measured
Terminal-Bench-Science (Vals AI)Not measured7.1%Only Gemini 3.7 Flash measured
APEX-AgentsNot measured67.8%Only Gemini 3.7 Flash measured
METR time horizons55.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Remote Labor Index0.8%5.0%Gemini 3.7 Flash
DeepResearch Bench42.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Gemini 2.5 Pro Preview 06-05 and Gemini 3.7 Flash
BenchmarkGemini 2.5 Pro Preview 06-05Gemini 3.7 FlashLeader
GPQA DiamondNot measured93.9%Only Gemini 3.7 Flash measured
LiveBench reasoningNot measured87.8%Only Gemini 3.7 Flash measured
MMMU Pro (Vals AI)Not measured89.0%Only Gemini 3.7 Flash measured
GPQA Diamond (Artificial Analysis run)83.6%94.5%Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)19.9%47.9%Gemini 3.7 Flash
GPQA Diamond (Epoch AI run)84.8%94.8%Gemini 3.7 Flash
ARC-AGINot measured95.5%Only Gemini 3.7 Flash measured
ARC-AGI-2Not measured84.6%Only Gemini 3.7 Flash measured
SimpleBench62.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Chess puzzlesNot measured66.0%Only Gemini 3.7 Flash measured
Mystery game puzzlesNot measured37.0%Only Gemini 3.7 Flash measured
VPCT46.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LMArena Text: hard promptsNot measured1495Only Gemini 3.7 Flash measured
LMArena Text: expertNot measured1512Only Gemini 3.7 Flash measured
LMArena Text: hard prompts in EnglishNot measured1487Only Gemini 3.7 Flash measured
LMArena Vision: diagramsNot measured1329Only Gemini 3.7 Flash measured
LMArena Vision: homeworkNot measured1320Only Gemini 3.7 Flash measured
Neither model has a result on the other 4 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Gemini 2.5 Pro Preview 06-05 and Gemini 3.7 Flash
BenchmarkGemini 2.5 Pro Preview 06-05Gemini 3.7 FlashLeader
OTIS Mock AIMENot measured97.2%Only Gemini 3.7 Flash measured
FrontierMath, tiers 1 to 3Not measured71.6%Only Gemini 3.7 Flash measured
FrontierMath, tier 4Not measured36.6%Only Gemini 3.7 Flash measured
ProofBenchNot measured58.0%Only Gemini 3.7 Flash measured
LMArena Text: mathNot measured1511Only Gemini 3.7 Flash measured
LMArena Text: mathematical workNot measured1502Only Gemini 3.7 Flash measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Knowledge benchmarks for Gemini 2.5 Pro Preview 06-05 and Gemini 3.7 Flash
BenchmarkGemini 2.5 Pro Preview 06-05Gemini 3.7 FlashLeader
MMLU ProNot measured90.1%Only Gemini 3.7 Flash measured
LegalBench (Vals AI)Not measured87.3%Only Gemini 3.7 Flash measured
TaxEval (Vals AI)Not measured74.7%Only Gemini 3.7 Flash measured
MortgageTax (Vals AI)Not measured66.7%Only Gemini 3.7 Flash measured
MedCode (Vals AI)Not measured53.4%Only Gemini 3.7 Flash measured
MMLU Pro (Artificial Analysis run)85.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
SimpleQA VerifiedNot measured69.2%Only Gemini 3.7 Flash measured
LMArena Text: scienceNot measured1511Only Gemini 3.7 Flash measured
LMArena Text: medicine and healthcareNot measured1494Only Gemini 3.7 Flash measured
LMArena Text: legal and governmentNot measured1496Only Gemini 3.7 Flash measured
LMArena Text: business and financeNot measured1479Only Gemini 3.7 Flash measured
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Gemini 2.5 Pro Preview 06-05 and Gemini 3.7 Flash
BenchmarkGemini 2.5 Pro Preview 06-05Gemini 3.7 FlashLeader
Design Arena: websitesNot measured1304Only Gemini 3.7 Flash measured
Design Arena: UI componentsNot measured1299Only Gemini 3.7 Flash measured
Design Arena: game devNot measured1318Only Gemini 3.7 Flash measured
Design Arena: data vizNot measured1315Only Gemini 3.7 Flash measured
Design Arena: 3DNot measured1308Only Gemini 3.7 Flash measured
Design Arena: all code categoriesNot measured1308Only Gemini 3.7 Flash measured
Design Arena: SVGNot measured1283Only Gemini 3.7 Flash measured
Design Arena: ASCII artNot measured1276Only Gemini 3.7 Flash measured
LiveBench designNot measured73.2%Only Gemini 3.7 Flash measured
GeneralDirectional onlyPublic boards, shown as published, kept out of the index31 boards, none shared
General benchmarks for Gemini 2.5 Pro Preview 06-05 and Gemini 3.7 Flash
BenchmarkGemini 2.5 Pro Preview 06-05Gemini 3.7 FlashLeader
LiveBench data analysisNot measured68.0%Only Gemini 3.7 Flash measured
SAGE (Vals AI)Not measured49.2%Only Gemini 3.7 Flash measured
MedScribe (Vals AI)Not measured83.9%Only Gemini 3.7 Flash measured
Long context reasoning (AA-LCR)Not measured83.0%Only Gemini 3.7 Flash measured
DTBenchNot measured96.8%Only Gemini 3.7 Flash measured
LMCANot measured50.4%Only Gemini 3.7 Flash measured
Fiction.LiveBench91.7%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Furniture assemblyNot measured26.7%Only Gemini 3.7 Flash measured
LMArena TextNot measured1489Only Gemini 3.7 Flash measured
LMArena Text: instruction followingNot measured1484Only Gemini 3.7 Flash measured
LMArena Text: creative writingNot measured1488Only Gemini 3.7 Flash measured
LMArena VisionNot measured1314Only Gemini 3.7 Flash measured
LMArena Text: EnglishNot measured1483Only Gemini 3.7 Flash measured
LMArena Text: non-EnglishNot measured1487Only Gemini 3.7 Flash measured
LMArena Text: ChineseNot measured1552Only Gemini 3.7 Flash measured
LMArena Text: GermanNot measured1506Only Gemini 3.7 Flash measured
LMArena Text: JapaneseNot measured1511Only Gemini 3.7 Flash measured
LMArena Text: KoreanNot measured1481Only Gemini 3.7 Flash measured
LMArena Text: FrenchNot measured1500Only Gemini 3.7 Flash measured
LMArena Text: SpanishNot measured1495Only Gemini 3.7 Flash measured
LMArena Text: RussianNot measured1515Only Gemini 3.7 Flash measured
LMArena Text: PolishNot measured1503Only Gemini 3.7 Flash measured
LMArena Text: multi-turnNot measured1485Only Gemini 3.7 Flash measured
LMArena Text: longer queriesNot measured1492Only Gemini 3.7 Flash measured
LMArena Text: writing and languageNot measured1491Only Gemini 3.7 Flash measured
LMArena Text: entertainment and mediaNot measured1477Only Gemini 3.7 Flash measured
LMArena Vision: EnglishNot measured1309Only Gemini 3.7 Flash measured
LMArena Vision: ChineseNot measured1394Only Gemini 3.7 Flash measured
LMArena Vision: reading textNot measured1322Only Gemini 3.7 Flash measured
LMArena Vision: humorNot measured1299Only Gemini 3.7 Flash measured
LMArena Vision: creative writingNot measured1312Only Gemini 3.7 Flash measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Pro Preview 06-05 and Gemini 3.7 Flash
BenchmarkGemini 2.5 Pro Preview 06-05Gemini 3.7 FlashLeader
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 Pro Preview 06-05$0.0063Fits in one request
Gemini 3.7 Flash$0.0026Fits in one request

Gemini 3.7 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro Preview 06-05$0.092Fits in one request
Gemini 3.7 Flash$0.049Fits in one request

Gemini 3.7 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro Preview 06-05$0.350Fits in one request
Gemini 3.7 Flash$0.188Fits in one request

Gemini 3.7 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.

Specifications of Gemini 2.5 Pro Preview 06-05 and Gemini 3.7 Flash
SpecificationGoogle Gemini 2.5 Pro Preview 06-05Google Gemini 3.7 Flash
MakerGoogleGoogle
WeightsNo public weights listedNo public weights listed
ReleasedJune 5, 2025August 13, 2026
Context window1.05M1.05M
Input $/Mtok$1.25$0.75
Output $/Mtok$10.00$3.75
Coding index83.169.9
Independent measurements behind it12
Cost per solved taskNot computable$1.78
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro Preview 06-05 better than Gemini 3.7 Flash for coding?

Pick Gemini 2.5 Pro Preview 06-05 for coding: it scores 83.1 on the Vibe Coding Index against 69.9 for Gemini 3.7 Flash, though on 1 benchmark against 2. Pick Gemini 3.7 Flash when output tokens cost 2.7x less, or when what matters is LiveCodeBench (Vals AI) or Remote Labor Index, where it leads.

Which is cheaper, Gemini 2.5 Pro Preview 06-05 or Gemini 3.7 Flash?

Gemini 2.5 Pro Preview 06-05 costs $1.25 per million input tokens and $10.00 per million output tokens; Gemini 3.7 Flash costs $0.75 and $3.75. Cost per solved task is known for Gemini 3.7 Flash only.

Which has the bigger context window, Gemini 2.5 Pro Preview 06-05 or Gemini 3.7 Flash?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 2.5 Pro Preview 06-05 vs Gemini 3.7 Flash comparison based on?

5 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Pro Preview 06-05'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.

Compare next