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Claude Sonnet 5.5 vs Gemini 3.7 Flash

Claude Sonnet 5.5 leads Gemini 3.7 Flash on coding, 87.3 to 58.0 on the Vibe Coding Index, and Gemini 3.7 Flash costs 2.7x less per output token ($3.75 vs $10.00 per million). Updated October 21, 2026; 87 benchmarks have a result for both.

Replace Claude Sonnet 5.5 Replace Gemini 3.7 Flash
Claude Sonnet 5.5Anthropic
Coding
87.3
Overall
82.8
Output $/M
$10.00
59
Gemini 3.7 FlashGoogle
Coding
58.0
Overall
65.7
Output $/M
$3.75
27
vs boards won of 87 shared, 1 tied

Claude Sonnet 5.5 or Gemini 3.7 Flash: which to pick

Pick Claude Sonnet 5.5 for coding: it scores 87.3 on the Vibe Coding Index against 58.0 for Gemini 3.7 Flash, though on 5 benchmarks against 6.

Pick Gemini 3.7 Flash for output tokens 2.7x cheaper ($3.75 vs $10.00 per million) and a larger context window (1.05M against 1M tokens).

Model AClaude Sonnet 5.5Anthropic87.3/1005 independent benchmarksNo cost per solved taskModel BGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved task
Shared results
87
Claude Sonnet 5.5 only
9
Gemini 3.7 Flash only
27
Like-for-like categories
8 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 Sonnet 5.5 87.3 from 5 benchmarks, Gemini 3.7 Flash 58.0 from 6 benchmarks.
Widest category
Math, 18.3 points apart on average over 6 shared benchmarks.
Widest single gap
Terminal-Bench 4 (Vals AI): Claude Sonnet 5.5 64.1% against Gemini 3.7 Flash 12.1%, 69.4 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 5.5 $10.00 against Gemini 3.7 Flash $3.75 per million output tokens, 2.7x apart.
Context window
Claude Sonnet 5.5 takes 1M 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 Sonnet 5.5BarsGemini 3.7 FlashTies
Coding1801 tie
Intelligence20
Agentic work121
Reasoning73
Math51
Knowledge06
Web design70
General816
All shared boards59271 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index180
Coding benchmarks for Claude Sonnet 5.5 and Gemini 3.7 Flash
BenchmarkClaude Sonnet 5.5Gemini 3.7 FlashLeader
LiveBench coding94.7%80.5%Claude Sonnet 5.5
LMArena WebDev17681591Claude Sonnet 5.5
AA Coding IndexNot measured71.5Only Gemini 3.7 Flash measured
LiveCodeBench (Vals AI)Not measured88.7%Only Gemini 3.7 Flash measured
SWE-bench Verified (Vals AI)Not measured80.8%Only Gemini 3.7 Flash measured
Terminal-Bench 4 (Vals AI)64.1%12.1%Claude Sonnet 5.5
Vibe Code Bench (Vals AI)92.4%70.4%Claude Sonnet 5.5
Code migration (Vals AI)69.8%34.8%Claude Sonnet 5.5
ProgramBench (Vals AI)6.5%0.0%Claude Sonnet 5.5
IOI (Vals AI)83.1%67.8%Claude Sonnet 5.5
Terminal-Bench 2.1 (Vals AI)83.2%77.5%Claude Sonnet 5.5
SWE-bench Multimodal (Vals AI)58.3%Not measuredOnly Claude Sonnet 5.5 measured
SkillsBench (Vals AI)Not measured65.9%Only Gemini 3.7 Flash measured
CyberBench (Vals AI)59.6%43.8%Claude Sonnet 5.5
SciCode61.0%59.8%Claude Sonnet 5.5
FrontierCode52.1%43.6%Claude Sonnet 5.5
FrontierSWE61.9%20.3%Claude Sonnet 5.5
ALE-Bench1819.1904.3Claude Sonnet 5.5
LMArena Text: coding15131499Claude Sonnet 5.5
LMArena Text: software and IT15041498Claude Sonnet 5.5
LMArena WebDev: React18171587Claude Sonnet 5.5
LMArena WebDev: HTML17411593Claude Sonnet 5.5
LMArena WebDev: from an image17371599Claude Sonnet 5.5
SciCode13.8%13.8%Tie
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 Sonnet 5.5 and Gemini 3.7 Flash
BenchmarkClaude Sonnet 5.5Gemini 3.7 FlashLeader
AA Intelligence Index56.039.6Claude Sonnet 5.5
Epoch Capabilities Index166.2158.0Claude Sonnet 5.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index121
Agentic work benchmarks for Claude Sonnet 5.5 and Gemini 3.7 Flash
BenchmarkClaude Sonnet 5.5Gemini 3.7 FlashLeader
Design Arena: agents building web apps13061223Claude Sonnet 5.5
Design Arena: agents building full-stack appsNot measured1208Only Gemini 3.7 Flash measured
Design Arena: agents building mobile apps12571230Claude Sonnet 5.5
Design Arena: agents building Android appsNot measured1242Only 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: spreadsheets12441053Claude Sonnet 5.5
LiveBench research83.6%76.5%Claude Sonnet 5.5
LiveBench browser84.0%56.0%Claude Sonnet 5.5
LiveBench long agentic78.8%28.3%Claude Sonnet 5.5
SREBench (Vals AI)30.1%4.6%Claude Sonnet 5.5
Finance Agent (Vals AI)58.1%59.0%Gemini 3.7 Flash
Tax Agent Bench (Vals AI)42.0%22.8%Claude Sonnet 5.5
Legal Research Bench (Vals AI)48.1%34.6%Claude Sonnet 5.5
Harvey's Legal Agent Benchmark (Vals AI)10.4%Not measuredOnly Claude Sonnet 5.5 measured
Excel Modeling Benchmark (Vals AI)75.7%71.3%Claude Sonnet 5.5
BioMysteryBench (Vals AI)81.1%Not measuredOnly Claude Sonnet 5.5 measured
Terminal-Bench-Science (Vals AI)47.1%7.1%Claude Sonnet 5.5
Vals Science Index59.1%Not measuredOnly Claude Sonnet 5.5 measured
APEX-Agents75.5%67.8%Claude Sonnet 5.5
Remote Labor IndexNot measured5.0%Only Gemini 3.7 Flash measured
SpireClimb1.3%Not measuredOnly Claude Sonnet 5.5 measured
Vending-Bench 2$11,165Not measuredOnly Claude Sonnet 5.5 measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index73
Reasoning benchmarks for Claude Sonnet 5.5 and Gemini 3.7 Flash
BenchmarkClaude Sonnet 5.5Gemini 3.7 FlashLeader
GPQA DiamondNot measured93.9%Only Gemini 3.7 Flash measured
LiveBench reasoning91.6%87.8%Claude Sonnet 5.5
MysteryMechanism (Vals AI)49.1%Not measuredOnly Claude Sonnet 5.5 measured
MMMU Pro (Vals AI)Not measured89.0%Only Gemini 3.7 Flash measured
GPQA Diamond (Artificial Analysis run)Not measured94.5%Only Gemini 3.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)55.0%47.9%Claude Sonnet 5.5
GPQA Diamond (Epoch AI run)95.6%94.8%Claude Sonnet 5.5
ARC-AGINot measured95.5%Only Gemini 3.7 Flash measured
ARC-AGI-2Not measured84.6%Only Gemini 3.7 Flash measured
Chess puzzles59.0%66.0%Gemini 3.7 Flash
Mystery game puzzles65.0%37.0%Claude Sonnet 5.5
LMArena Text: hard prompts14941495Gemini 3.7 Flash
LMArena Text: expert15311512Claude Sonnet 5.5
LMArena Text: hard prompts in English15021487Claude Sonnet 5.5
LMArena Vision: diagrams13291329Gemini 3.7 Flash
LMArena Vision: homework13311320Claude Sonnet 5.5
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index51
Math benchmarks for Claude Sonnet 5.5 and Gemini 3.7 Flash
BenchmarkClaude Sonnet 5.5Gemini 3.7 FlashLeader
OTIS Mock AIME100.0%97.2%Claude Sonnet 5.5
FrontierMath, tiers 1 to 388.8%71.6%Claude Sonnet 5.5
FrontierMath, tier 480.5%36.6%Claude Sonnet 5.5
ProofBench100.0%58.0%Claude Sonnet 5.5
LMArena Text: math14971511Gemini 3.7 Flash
LMArena Text: mathematical work15101502Claude Sonnet 5.5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06
Knowledge benchmarks for Claude Sonnet 5.5 and Gemini 3.7 Flash
BenchmarkClaude Sonnet 5.5Gemini 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)52.9%53.4%Gemini 3.7 Flash
SimpleQA Verified46.5%69.2%Gemini 3.7 Flash
LMArena Text: science14831511Gemini 3.7 Flash
LMArena Text: medicine and healthcare14641494Gemini 3.7 Flash
LMArena Text: legal and government14831496Gemini 3.7 Flash
LMArena Text: business and finance14681479Gemini 3.7 Flash
FACTS Benchmark SuiteNot measured71.2%Only Gemini 3.7 Flash measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Claude Sonnet 5.5 and Gemini 3.7 Flash
BenchmarkClaude Sonnet 5.5Gemini 3.7 FlashLeader
Design Arena: websites13261304Claude Sonnet 5.5
Design Arena: UI components13651299Claude Sonnet 5.5
Design Arena: game dev14691318Claude Sonnet 5.5
Design Arena: data viz13941315Claude Sonnet 5.5
Design Arena: 3D14521308Claude Sonnet 5.5
Design Arena: all code categories13641308Claude Sonnet 5.5
Design Arena: SVGNot measured1283Only Gemini 3.7 Flash measured
Design Arena: ASCII artNot measured1276Only Gemini 3.7 Flash measured
LiveBench design85.0%73.2%Claude Sonnet 5.5
GeneralLike-for-likePublic boards, shown as published, kept out of the index816
General benchmarks for Claude Sonnet 5.5 and Gemini 3.7 Flash
BenchmarkClaude Sonnet 5.5Gemini 3.7 FlashLeader
Vals Index70.8%Not measuredOnly Claude Sonnet 5.5 measured
LiveBench data analysis59.5%68.0%Gemini 3.7 Flash
Public Benefits Bench (Vals AI)67.2%Not measuredOnly Claude Sonnet 5.5 measured
SAGE (Vals AI)51.8%49.2%Claude Sonnet 5.5
MedScribe (Vals AI)91.1%83.9%Claude Sonnet 5.5
Long context reasoning (AA-LCR)82.7%83.0%Gemini 3.7 Flash
DTBench97.3%96.8%Claude Sonnet 5.5
LMCA68.3%50.4%Claude Sonnet 5.5
Furniture assembly75.0%26.7%Claude Sonnet 5.5
LMArena Text14731489Gemini 3.7 Flash
LMArena Text: instruction following14921484Claude Sonnet 5.5
LMArena Text: creative writing14671488Gemini 3.7 Flash
LMArena Vision12871314Gemini 3.7 Flash
LMArena Text: English14841483Claude Sonnet 5.5
LMArena Text: non-English14561487Gemini 3.7 Flash
LMArena Text: Chinese15351552Gemini 3.7 Flash
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: French14991500Gemini 3.7 Flash
LMArena Text: Spanish14511495Gemini 3.7 Flash
LMArena Text: Russian14541515Gemini 3.7 Flash
LMArena Text: PolishNot measured1503Only Gemini 3.7 Flash measured
LMArena Text: multi-turn14651485Gemini 3.7 Flash
LMArena Text: longer queries14951492Claude Sonnet 5.5
LMArena Text: writing and language14741491Gemini 3.7 Flash
LMArena Text: entertainment and media14611477Gemini 3.7 Flash
LMArena Vision: English12891309Gemini 3.7 Flash
LMArena Vision: ChineseNot measured1394Only Gemini 3.7 Flash measured
LMArena Vision: reading text12971322Gemini 3.7 Flash
LMArena Vision: humorNot measured1299Only Gemini 3.7 Flash measured
LMArena Vision: creative writing12421312Gemini 3.7 Flash
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 5.5 and Gemini 3.7 Flash
BenchmarkClaude Sonnet 5.5Gemini 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 Sonnet 5.5$0.0070Fits 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 Sonnet 5.5$0.130Fits 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 Sonnet 5.5$0.500Fits 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 Claude Sonnet 5.5 and Gemini 3.7 Flash
SpecificationAnthropic Claude Sonnet 5.5Google Gemini 3.7 Flash
MakerAnthropicGoogle
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 28, 2026August 13, 2026
Context window1M1.05M
Input $/Mtok$2.00$0.75
Output $/Mtok$10.00$3.75
Coding index87.358.0
Independent measurements behind it56
Cost per solved taskNot computable$1.78
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 5.5 better than Gemini 3.7 Flash for coding?

Pick Claude Sonnet 5.5 for coding: it scores 87.3 on the Vibe Coding Index against 58.0 for Gemini 3.7 Flash, though on 5 benchmarks against 6. Pick Gemini 3.7 Flash for output tokens 2.7x cheaper ($3.75 vs $10.00 per million) and a larger context window (1.05M against 1M tokens).

Which is cheaper, Claude Sonnet 5.5 or Gemini 3.7 Flash?

Claude Sonnet 5.5 costs $2.00 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, Claude Sonnet 5.5 or Gemini 3.7 Flash?

Gemini 3.7 Flash, with 1.05M tokens against 1M.

How many benchmarks is the Claude Sonnet 5.5 vs Gemini 3.7 Flash comparison based on?

87 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 5.5's coding index rests on 5 independent benchmarks and Gemini 3.7 Flash's on 6. Where only one model has a result, the page says so instead of naming a winner.

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