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Claude Opus 4.1 vs Gemini 3.7 Flash

Updated October 21, 2026. 57 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Opus 4.1Anthropic
Coding
27.2
Overall
22.8
Output $/M
$75.00
0
Gemini 3.7 FlashGoogle
Coding
69.9
Overall
39.6
Output $/M
$3.75
57
vs boards won of 57 shared

Decision reading

Pick Gemini 3.7 Flash for coding: it scores 69.9 on the Vibe Coding Index against 27.2 for Claude Opus 4.1.

Claude Opus 4.1 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Shared results
57
Claude Opus 4.1 only
14
Gemini 3.7 Flash only
55
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.

At a glance

Coding index
Claude Opus 4.1 27.2 from 1 benchmark, Gemini 3.7 Flash 69.9 from 2 benchmarks.
Widest category
Math, 29.2 points apart on average over 5 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: Claude Opus 4.1 12.6% against Gemini 3.7 Flash 71.6%, 58.9 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against Gemini 3.7 Flash $3.75 per million output tokens, 20.0x apart.
Context window
Claude Opus 4.1 takes 200K tokens, Gemini 3.7 Flash 1.05M.

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
CategoryClaude Opus 4.1BarsGemini 3.7 FlashTies
Coding05
Intelligence02
Reasoning07
Math05
Knowledge09
Web design08
General021
All shared boards057
CodingLike-for-likeFour of these boards feed the Vibe Coding Index05
Coding benchmarks for Claude Opus 4.1 and Gemini 3.7 Flash
BenchmarkClaude Opus 4.1Gemini 3.7 FlashLeader
LiveBench codingNot measured80.5%Only Gemini 3.7 Flash measured
LMArena WebDev13901591Gemini 3.7 Flash
AA Coding IndexNot measured71.5Only Gemini 3.7 Flash measured
LiveCodeBench (Vals AI)66.5%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
SciCodeNot measured59.8%Only Gemini 3.7 Flash measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
FrontierCodeNot measured43.6%Only Gemini 3.7 Flash measured
FrontierSWENot measured20.3%Only Gemini 3.7 Flash measured
WeirdML45.9%Not measuredOnly Claude Opus 4.1 measured
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
ALE-BenchNot measured904.3Only Gemini 3.7 Flash measured
LMArena Text: coding14791499Gemini 3.7 Flash
LMArena Text: software and IT14561498Gemini 3.7 Flash
LMArena WebDev: ReactNot measured1587Only Gemini 3.7 Flash measured
LMArena WebDev: HTML13991593Gemini 3.7 Flash
LMArena WebDev: from an imageNot measured1599Only Gemini 3.7 Flash measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Opus 4.1 and Gemini 3.7 Flash
BenchmarkClaude Opus 4.1Gemini 3.7 FlashLeader
AA Intelligence Index22.839.6Gemini 3.7 Flash
Epoch Capabilities Index144.1158.0Gemini 3.7 Flash
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
Agentic work benchmarks for Claude Opus 4.1 and Gemini 3.7 Flash
BenchmarkClaude Opus 4.1Gemini 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 horizons66.8%Not measuredOnly Claude Opus 4.1 measured
Remote Labor IndexNot measured5.0%Only Gemini 3.7 Flash measured
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
DeepResearch Bench48.3%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for Claude Opus 4.1 and Gemini 3.7 Flash
BenchmarkClaude Opus 4.1Gemini 3.7 FlashLeader
GPQA Diamond76.3%93.9%Gemini 3.7 Flash
LiveBench reasoningNot measured87.8%Only Gemini 3.7 Flash measured
MMMU Pro (Vals AI)77.5%89.0%Gemini 3.7 Flash
GPQA Diamond (Artificial Analysis run)Not measured94.5%Only Gemini 3.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)Not measured47.9%Only Gemini 3.7 Flash measured
GPQA Diamond (Epoch AI run)77.3%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
SimpleBench60.0%Not measuredOnly Claude Opus 4.1 measured
Chess puzzlesNot measured66.0%Only Gemini 3.7 Flash measured
Mystery game puzzles21.0%37.0%Gemini 3.7 Flash
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts14421495Gemini 3.7 Flash
LMArena Text: expert14381512Gemini 3.7 Flash
LMArena Text: hard prompts in English14511487Gemini 3.7 Flash
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 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index05
Math benchmarks for Claude Opus 4.1 and Gemini 3.7 Flash
BenchmarkClaude Opus 4.1Gemini 3.7 FlashLeader
AIME78.2%Not measuredOnly Claude Opus 4.1 measured
MATH 500 (Vals AI)95.4%Not measuredOnly Claude Opus 4.1 measured
MGSM (Vals AI)94.4%Not measuredOnly Claude Opus 4.1 measured
OTIS Mock AIME68.9%97.2%Gemini 3.7 Flash
FrontierMath, tiers 1 to 312.6%71.6%Gemini 3.7 Flash
FrontierMath, tier 42.4%36.6%Gemini 3.7 Flash
ProofBenchNot measured58.0%Only Gemini 3.7 Flash measured
LMArena Text: math14311511Gemini 3.7 Flash
LMArena Text: mathematical work14341502Gemini 3.7 Flash
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index09
Knowledge benchmarks for Claude Opus 4.1 and Gemini 3.7 Flash
BenchmarkClaude Opus 4.1Gemini 3.7 FlashLeader
MMLU Pro87.9%90.1%Gemini 3.7 Flash
LegalBench (Vals AI)83.5%87.3%Gemini 3.7 Flash
TaxEval (Vals AI)73.7%74.7%Gemini 3.7 Flash
MortgageTax (Vals AI)61.1%66.7%Gemini 3.7 Flash
MedQA (Vals AI)93.6%Not measuredOnly Claude Opus 4.1 measured
MedCode (Vals AI)47.2%53.4%Gemini 3.7 Flash
SimpleQA VerifiedNot measured69.2%Only Gemini 3.7 Flash measured
LMArena Text: science14221511Gemini 3.7 Flash
LMArena Text: medicine and healthcare14161494Gemini 3.7 Flash
LMArena Text: legal and government14211496Gemini 3.7 Flash
LMArena Text: business and finance14061479Gemini 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 index08
Web design benchmarks for Claude Opus 4.1 and Gemini 3.7 Flash
BenchmarkClaude Opus 4.1Gemini 3.7 FlashLeader
Design Arena: websites11771304Gemini 3.7 Flash
Design Arena: UI components11641299Gemini 3.7 Flash
Design Arena: game dev11721318Gemini 3.7 Flash
Design Arena: data viz11661315Gemini 3.7 Flash
Design Arena: 3D11531308Gemini 3.7 Flash
Design Arena: all code categories11711308Gemini 3.7 Flash
Design Arena: SVG11521283Gemini 3.7 Flash
Design Arena: ASCII art11671276Gemini 3.7 Flash
LiveBench designNot measured73.2%Only Gemini 3.7 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index021
General benchmarks for Claude Opus 4.1 and Gemini 3.7 Flash
BenchmarkClaude Opus 4.1Gemini 3.7 FlashLeader
LiveBench data analysisNot measured68.0%Only Gemini 3.7 Flash measured
SAGE (Vals AI)31.4%49.2%Gemini 3.7 Flash
MedScribe (Vals AI)73.9%83.9%Gemini 3.7 Flash
Long context reasoning (AA-LCR)Not measured83.0%Only Gemini 3.7 Flash measured
DTBench80.0%96.8%Gemini 3.7 Flash
LMCA37.1%50.4%Gemini 3.7 Flash
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
Furniture assemblyNot measured26.7%Only Gemini 3.7 Flash measured
LMArena Text14191489Gemini 3.7 Flash
LMArena Text: instruction following14351484Gemini 3.7 Flash
LMArena Text: creative writing14121488Gemini 3.7 Flash
LMArena VisionNot measured1314Only Gemini 3.7 Flash measured
LMArena Text: English14331483Gemini 3.7 Flash
LMArena Text: non-English14051487Gemini 3.7 Flash
LMArena Text: Chinese14271552Gemini 3.7 Flash
LMArena Text: German14131506Gemini 3.7 Flash
LMArena Text: Japanese13771511Gemini 3.7 Flash
LMArena Text: Korean13811481Gemini 3.7 Flash
LMArena Text: French14331500Gemini 3.7 Flash
LMArena Text: Spanish14481495Gemini 3.7 Flash
LMArena Text: Russian14221515Gemini 3.7 Flash
LMArena Text: Polish14131503Gemini 3.7 Flash
LMArena Text: multi-turn14441485Gemini 3.7 Flash
LMArena Text: longer queries14551492Gemini 3.7 Flash
LMArena Text: writing and language14181491Gemini 3.7 Flash
LMArena Text: entertainment and media13981477Gemini 3.7 Flash
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 Claude Opus 4.1 and Gemini 3.7 Flash
BenchmarkClaude Opus 4.1Gemini 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

Claude Opus 4.1$0.052Fits 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

Claude Opus 4.1$0.975Fits 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

Claude Opus 4.1$3.75Exceeds the context window
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 Claude Opus 4.1 and Gemini 3.7 Flash
SpecificationAnthropic Claude Opus 4.1Google Gemini 3.7 Flash
MakerAnthropicGoogle
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2025August 13, 2026
Context window200K1.05M
Input $/Mtok$15.00$0.75
Output $/Mtok$75.00$3.75
Coding index27.269.9
Independent measurements behind it12
Cost per solved taskNot computable$1.78
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 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 27.2 for Claude Opus 4.1. Claude Opus 4.1 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, Claude Opus 4.1 or Gemini 3.7 Flash?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 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, Claude Opus 4.1 or Gemini 3.7 Flash?

Gemini 3.7 Flash, with 1.05M tokens against 200K.

How many benchmarks is the Claude Opus 4.1 vs Gemini 3.7 Flash comparison based on?

57 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.1'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.

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