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Claude Opus 4.7 vs Gemini 3.6 Flash

Claude Opus 4.7 leads Gemini 3.6 Flash on coding, 67.5 to 62.5 on the Vibe Coding Index, and Gemini 3.6 Flash costs 6.7x less per output token ($3.75 vs $25.00 per million). Updated October 22, 2026; 86 benchmarks have a result for both.

Replace Claude Opus 4.7 Replace Gemini 3.6 Flash
Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
67
Gemini 3.6 FlashGoogle
Coding
62.5
Overall
68.3
Output $/M
$3.75
18
vs boards won of 86 shared, 1 tied

Claude Opus 4.7 or Gemini 3.6 Flash: which to pick

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 62.5 for Gemini 3.6 Flash.

Pick Gemini 3.6 Flash for output tokens 6.7x cheaper ($3.75 vs $25.00 per million) and a lower cost per solved task ($1.49 against $2.95).

Model AClaude Opus 4.7Anthropic67.5/1004 independent benchmarks$2.95 per solved taskModel BGemini 3.6 FlashGoogle62.5/1004 independent benchmarks$1.49 per solved task
Shared results
86
Claude Opus 4.7 only
17
Gemini 3.6 Flash only
23
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.

At a glance

Coding index
Claude Opus 4.7 67.5 from 4 benchmarks, Gemini 3.6 Flash 62.5 from 4 benchmarks.
Widest category
Math, 7.8 points apart on average over 6 shared benchmarks.
Widest single gap
WeirdML: Claude Opus 4.7 76.4% against Gemini 3.6 Flash 56.1%, 20.3 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against Gemini 3.6 Flash $3.75 per million output tokens, 6.7x apart.
Context window
Claude Opus 4.7 takes 1M tokens, Gemini 3.6 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 4.7BarsGemini 3.6 FlashTies
Coding1221 tie
Intelligence20
Agentic work42
Reasoning86
Math51
Knowledge93
General274
All shared boards67181 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index122
Coding benchmarks for Claude Opus 4.7 and Gemini 3.6 Flash
BenchmarkClaude Opus 4.7Gemini 3.6 FlashLeader
LMArena WebDev15581538Claude Opus 4.7
AA Coding Index73.669.2Claude Opus 4.7
LiveCodeBench (Vals AI)85.1%88.1%Gemini 3.6 Flash
SWE-bench Verified (Vals AI)82.0%79.6%Claude Opus 4.7
Vibe Code Bench (Vals AI)71.0%64.0%Claude Opus 4.7
Code migration (Vals AI)43.9%30.9%Claude Opus 4.7
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)Not measured35.1%Only Gemini 3.6 Flash measured
Terminal-Bench 2.1 (Vals AI)68.5%73.8%Gemini 3.6 Flash
CyberBench (Vals AI)Not measured45.4%Only Gemini 3.6 Flash measured
SciCodeNot measured53.4%Only Gemini 3.6 Flash measured
Terminal-Bench Hard (Artificial Analysis run)54.5%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench80.2%Not measuredOnly Claude Opus 4.7 measured
FrontierCode38.5%34.4%Claude Opus 4.7
GSO-Bench44.1%Not measuredOnly Claude Opus 4.7 measured
WeirdML76.4%56.1%Claude Opus 4.7
MirrorCode31.1%Not measuredOnly Claude Opus 4.7 measured
ALE-BenchNot measured715.5Only Gemini 3.6 Flash measured
LMArena Text: coding15191491Claude Opus 4.7
LMArena Text: software and IT15161492Claude Opus 4.7
LMArena WebDev: React15601528Claude Opus 4.7
LMArena WebDev: HTML15541547Claude Opus 4.7
LMArena WebDev: from an image15771545Claude Opus 4.7
SciCodeNot measured10.8%Only Gemini 3.6 Flash measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.7 and Gemini 3.6 Flash
BenchmarkClaude Opus 4.7Gemini 3.6 FlashLeader
AA Intelligence Index40.734.0Claude Opus 4.7
Epoch Capabilities Index156.8154.5Claude Opus 4.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index42
Agentic work benchmarks for Claude Opus 4.7 and Gemini 3.6 Flash
BenchmarkClaude Opus 4.7Gemini 3.6 FlashLeader
AA Agentic Index38.629.0Claude Opus 4.7
Design Arena: agents building web appsNot measured1197Only Gemini 3.6 Flash measured
Design Arena: agents building full-stack appsNot measured1181Only Gemini 3.6 Flash measured
Design Arena: agents building mobile appsNot measured1198Only Gemini 3.6 Flash measured
Design Arena: agents building Android appsNot measured1204Only Gemini 3.6 Flash measured
Design Arena: agents building gamesNot measured1180Only Gemini 3.6 Flash measured
Design Arena: HTML slidesNot measured1099Only Gemini 3.6 Flash measured
Design Arena: PowerPoint slidesNot measured1121Only Gemini 3.6 Flash measured
Design Arena: spreadsheetsNot measured1071Only Gemini 3.6 Flash measured
Finance Agent (Vals AI)51.5%56.3%Gemini 3.6 Flash
Tax Agent Bench (Vals AI)23.7%18.0%Claude Opus 4.7
Legal Research Bench (Vals AI)38.5%25.0%Claude Opus 4.7
Excel Modeling Benchmark (Vals AI)63.7%65.4%Gemini 3.6 Flash
BioMysteryBench (Vals AI)Not measured58.5%Only Gemini 3.6 Flash measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only Gemini 3.6 Flash measured
τ²-Bench Telecom88.6%Not measuredOnly Claude Opus 4.7 measured
APEX-Agents49.2%46.9%Claude Opus 4.7
OSWorld 2.018.2%Not measuredOnly Claude Opus 4.7 measured
PostTrainBench28.6%Not measuredOnly Claude Opus 4.7 measured
Vending-Bench 2$10,937Not measuredOnly Claude Opus 4.7 measured
LMArena Search1230Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index86
Reasoning benchmarks for Claude Opus 4.7 and Gemini 3.6 Flash
BenchmarkClaude Opus 4.7Gemini 3.6 FlashLeader
GPQA Diamond90.2%93.4%Gemini 3.6 Flash
MMMU Pro (Vals AI)85.5%88.4%Gemini 3.6 Flash
GPQA Diamond (Artificial Analysis run)91.4%92.8%Gemini 3.6 Flash
Humanity's Last Exam (Artificial Analysis run)42.3%40.8%Claude Opus 4.7
GPQA Diamond (Epoch AI run)90.2%94.1%Gemini 3.6 Flash
ARC-AGI93.5%91.2%Claude Opus 4.7
ARC-AGI-275.8%60.4%Claude Opus 4.7
SimpleBench61.7%Not measuredOnly Claude Opus 4.7 measured
Chess puzzles41.0%42.0%Gemini 3.6 Flash
Mystery game puzzles28.0%30.0%Gemini 3.6 Flash
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts15061486Claude Opus 4.7
LMArena Text: expert15211490Claude Opus 4.7
LMArena Text: hard prompts in English15081484Claude Opus 4.7
LMArena Vision: diagrams13361314Claude Opus 4.7
LMArena Vision: homework13371314Claude Opus 4.7
Kagi LLM Benchmark80.7%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index51
Math benchmarks for Claude Opus 4.7 and Gemini 3.6 Flash
BenchmarkClaude Opus 4.7Gemini 3.6 FlashLeader
AIME96.3%Not measuredOnly Claude Opus 4.7 measured
OTIS Mock AIME97.8%94.2%Claude Opus 4.7
FrontierMath, tiers 1 to 370.2%58.9%Claude Opus 4.7
FrontierMath, tier 431.7%22.0%Claude Opus 4.7
ProofBench54.0%36.0%Claude Opus 4.7
LMArena Text: math14981508Gemini 3.6 Flash
LMArena Text: mathematical work15091492Claude Opus 4.7
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index93
Knowledge benchmarks for Claude Opus 4.7 and Gemini 3.6 Flash
BenchmarkClaude Opus 4.7Gemini 3.6 FlashLeader
MMLU Pro89.9%89.3%Claude Opus 4.7
LegalBench (Vals AI)85.3%86.7%Gemini 3.6 Flash
CaseLaw (Vals AI)68.4%Not measuredOnly Claude Opus 4.7 measured
CorpFin (Vals AI)66.1%63.3%Claude Opus 4.7
TaxEval (Vals AI)75.3%74.9%Claude Opus 4.7
MortgageTax (Vals AI)70.3%67.6%Claude Opus 4.7
MedCode (Vals AI)54.9%53.1%Claude Opus 4.7
SimpleQA Verified51.7%66.2%Gemini 3.6 Flash
LMArena Text: science15081489Claude Opus 4.7
LMArena Text: medicine and healthcare14951469Claude Opus 4.7
LMArena Text: legal and government15041479Claude Opus 4.7
LMArena Text: business and finance14901464Claude Opus 4.7
FACTS Benchmark Suite45.5%65.3%Gemini 3.6 Flash
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
Web design benchmarks for Claude Opus 4.7 and Gemini 3.6 Flash
BenchmarkClaude Opus 4.7Gemini 3.6 FlashLeader
Design Arena: websitesNot measured1300Only Gemini 3.6 Flash measured
Design Arena: UI componentsNot measured1294Only Gemini 3.6 Flash measured
Design Arena: game devNot measured1263Only Gemini 3.6 Flash measured
Design Arena: data vizNot measured1289Only Gemini 3.6 Flash measured
Design Arena: 3DNot measured1271Only Gemini 3.6 Flash measured
Design Arena: all code categoriesNot measured1289Only Gemini 3.6 Flash measured
Design Arena: ASCII artNot measured1281Only Gemini 3.6 Flash measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index274
General benchmarks for Claude Opus 4.7 and Gemini 3.6 Flash
BenchmarkClaude Opus 4.7Gemini 3.6 FlashLeader
Public Benefits Bench (Vals AI)Not measured56.6%Only Gemini 3.6 Flash measured
SAGE (Vals AI)56.1%48.7%Claude Opus 4.7
MedScribe (Vals AI)83.0%79.7%Claude Opus 4.7
Vals Multimodal Index67.4%65.1%Claude Opus 4.7
IFBench58.6%Not measuredOnly Claude Opus 4.7 measured
Long context reasoning (AA-LCR)78.7%80.0%Gemini 3.6 Flash
DTBench94.7%95.5%Gemini 3.6 Flash
LMCA52.2%44.9%Claude Opus 4.7
Furniture assembly33.3%23.3%Claude Opus 4.7
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text14901480Claude Opus 4.7
LMArena Text: instruction following14981467Claude Opus 4.7
LMArena Text: creative writing14861466Claude Opus 4.7
LMArena Vision13171299Claude Opus 4.7
LMArena Text: English14961482Claude Opus 4.7
LMArena Text: non-English14801470Claude Opus 4.7
LMArena Text: Chinese15311531Claude Opus 4.7
LMArena Text: German14951480Claude Opus 4.7
LMArena Text: Japanese14741475Gemini 3.6 Flash
LMArena Text: Korean14641429Claude Opus 4.7
LMArena Text: French15031503Gemini 3.6 Flash
LMArena Text: Spanish14941476Claude Opus 4.7
LMArena Text: Russian14941488Claude Opus 4.7
LMArena Text: Polish14891473Claude Opus 4.7
LMArena Text: multi-turn15051481Claude Opus 4.7
LMArena Text: longer queries15051475Claude Opus 4.7
LMArena Text: writing and language14921470Claude Opus 4.7
LMArena Text: entertainment and media14741456Claude Opus 4.7
LMArena Vision: English13221295Claude Opus 4.7
LMArena Vision: Chinese13711357Claude Opus 4.7
LMArena Vision: reading text13271312Claude Opus 4.7
LMArena Vision: humor13091289Claude Opus 4.7
LMArena Vision: recognizing things1278Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: creative writing13261278Claude Opus 4.7
LMArena Document14951456Claude Opus 4.7
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.7 and Gemini 3.6 Flash
BenchmarkClaude Opus 4.7Gemini 3.6 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 4.7$0.018Fits in one request
Gemini 3.6 Flash$0.0026Fits in one request

Gemini 3.6 Flash costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.7$0.325Fits in one request
Gemini 3.6 Flash$0.049Fits in one request

Gemini 3.6 Flash costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.7$1.25Fits in one request
Gemini 3.6 Flash$0.188Fits in one request

Gemini 3.6 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 4.7 and Gemini 3.6 Flash
SpecificationAnthropic Claude Opus 4.7Google Gemini 3.6 Flash
MakerAnthropicGoogle
WeightsNo public weights listedNo public weights listed
ReleasedApril 16, 2026July 21, 2026
Context window1M1.05M
Input $/Mtok$5.00$0.75
Output $/Mtok$25.00$3.75
Coding index67.562.5
Independent measurements behind it44
Cost per solved task$2.95$1.49
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than Gemini 3.6 Flash for coding?

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 62.5 for Gemini 3.6 Flash. Pick Gemini 3.6 Flash for output tokens 6.7x cheaper ($3.75 vs $25.00 per million) and a lower cost per solved task ($1.49 against $2.95).

Which is cheaper, Claude Opus 4.7 or Gemini 3.6 Flash?

Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; Gemini 3.6 Flash costs $0.75 and $3.75. Per solved SWE-bench Verified task, Claude Opus 4.7 costs $2.95 and Gemini 3.6 Flash $1.49.

Which has the bigger context window, Claude Opus 4.7 or Gemini 3.6 Flash?

Gemini 3.6 Flash, with 1.05M tokens against 1M.

How many benchmarks is the Claude Opus 4.7 vs Gemini 3.6 Flash comparison based on?

86 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.7's coding index rests on 4 independent benchmarks and Gemini 3.6 Flash's on 4. Where only one model has a result, the page says so instead of naming a winner.

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