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Claude Haiku 4.5 vs Gemini 3.5 Flash

Gemini 3.5 Flash leads Claude Haiku 4.5 on coding, 39.8 to 35.6 on the Vibe Coding Index, and Claude Haiku 4.5 costs 1.8x less per output token ($5.00 vs $9.00 per million). Updated October 22, 2026; 74 benchmarks have a result for both.

Replace Claude Haiku 4.5 Replace Gemini 3.5 Flash
Claude Haiku 4.5Anthropic
Coding
35.6
Overall
41.0
Output $/M
$5.00
1
Gemini 3.5 FlashGoogle
Coding
39.8
Overall
63.8
Output $/M
$9.00
72
vs boards won of 74 shared, 1 tied

Claude Haiku 4.5 or Gemini 3.5 Flash: which to pick

Pick Gemini 3.5 Flash for coding: it scores 39.8 on the Vibe Coding Index against 35.6 for Claude Haiku 4.5.

Pick Claude Haiku 4.5 for output tokens 1.8x cheaper ($5.00 vs $9.00 per million) and a lower cost per solved task ($0.56 against $1.21).

Model AClaude Haiku 4.5Anthropic35.6/1004 independent benchmarks$0.56 per solved taskModel BGemini 3.5 FlashGoogle39.8/1004 independent benchmarks$1.21 per solved task
Shared results
74
Claude Haiku 4.5 only
21
Gemini 3.5 Flash only
38
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 Haiku 4.5 35.6 from 4 benchmarks, Gemini 3.5 Flash 39.8 from 4 benchmarks.
Widest category
Reasoning, 29.1 points apart on average over 9 shared benchmarks.
Widest single gap
ARC-AGI-2: Claude Haiku 4.5 4.0% against Gemini 3.5 Flash 72.1%, 68.0 points apart on a 0 to 100 scale.
Output price
Claude Haiku 4.5 $5.00 against Gemini 3.5 Flash $9.00 per million output tokens, 1.8x apart.
Context window
Claude Haiku 4.5 takes 200K tokens, Gemini 3.5 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 Haiku 4.5BarsGemini 3.5 FlashTies
Coding0111 tie
Intelligence02
Agentic work05
Reasoning09
Math03
Knowledge011
Web design08
General123
All shared boards1721 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index011
Coding benchmarks for Claude Haiku 4.5 and Gemini 3.5 Flash
BenchmarkClaude Haiku 4.5Gemini 3.5 FlashLeader
SWE-bench Verified66.6%Not measuredOnly Claude Haiku 4.5 measured
SWE-bench Multilingual64.7%Not measuredOnly Claude Haiku 4.5 measured
LiveBench coding48.1%Not measuredOnly Claude Haiku 4.5 measured
LMArena WebDev13301499Gemini 3.5 Flash
AA Coding Index43.9Not measuredOnly Claude Haiku 4.5 measured
LiveCodeBench (Vals AI)41.2%87.6%Gemini 3.5 Flash
SWE-bench Verified (Vals AI)66.6%78.8%Gemini 3.5 Flash
Terminal-Bench 4 (Vals AI)Not measured6.1%Only Gemini 3.5 Flash measured
Vibe Code Bench (Vals AI)11.4%48.7%Gemini 3.5 Flash
Code migration (Vals AI)7.5%26.8%Gemini 3.5 Flash
ProgramBench (Vals AI)0.0%0.0%Tie
Terminal-Bench 2.1 (Vals AI)43.8%74.2%Gemini 3.5 Flash
SkillsBench (Vals AI)Not measured52.7%Only Gemini 3.5 Flash measured
SciCodeNot measured53.9%Only Gemini 3.5 Flash measured
Terminal-Bench Hard (Artificial Analysis run)Not measured46.2%Only Gemini 3.5 Flash measured
Terminal-Bench35.5%Not measuredOnly Claude Haiku 4.5 measured
WeirdML45.4%62.6%Gemini 3.5 Flash
ALE-BenchNot measured911.0Only Gemini 3.5 Flash measured
LMArena Text: coding14541493Gemini 3.5 Flash
LMArena Text: software and IT14391494Gemini 3.5 Flash
LMArena WebDev: React13261495Gemini 3.5 Flash
LMArena WebDev: HTML13181522Gemini 3.5 Flash
LMArena WebDev: from an imageNot measured1504Only Gemini 3.5 Flash measured
SciCodeNot measured12.3%Only Gemini 3.5 Flash measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Haiku 4.5 and Gemini 3.5 Flash
BenchmarkClaude Haiku 4.5Gemini 3.5 FlashLeader
AA Intelligence Index16.933.6Gemini 3.5 Flash
Epoch Capabilities Index142.2154.9Gemini 3.5 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
Agentic work benchmarks for Claude Haiku 4.5 and Gemini 3.5 Flash
BenchmarkClaude Haiku 4.5Gemini 3.5 FlashLeader
AA Agentic Index8.0Not measuredOnly Claude Haiku 4.5 measured
Design Arena: agents building web appsNot measured1202Only Gemini 3.5 Flash measured
Design Arena: agents building full-stack appsNot measured1197Only Gemini 3.5 Flash measured
Design Arena: agents building mobile appsNot measured1174Only Gemini 3.5 Flash measured
Design Arena: agents building Android appsNot measured1185Only Gemini 3.5 Flash measured
Design Arena: agents building Godot gamesNot measured1098Only Gemini 3.5 Flash measured
Design Arena: agents building gamesNot measured1180Only Gemini 3.5 Flash measured
Design Arena: HTML slidesNot measured1093Only Gemini 3.5 Flash measured
Design Arena: PowerPoint slidesNot measured1154Only Gemini 3.5 Flash measured
LiveBench research42.2%Not measuredOnly Claude Haiku 4.5 measured
LiveBench browser40.0%Not measuredOnly Claude Haiku 4.5 measured
LiveBench long agentic11.1%Not measuredOnly Claude Haiku 4.5 measured
Finance Agent (Vals AI)31.0%57.9%Gemini 3.5 Flash
Tax Agent Bench (Vals AI)5.9%21.6%Gemini 3.5 Flash
Legal Research Bench (Vals AI)10.6%30.8%Gemini 3.5 Flash
Excel Modeling Benchmark (Vals AI)22.7%63.5%Gemini 3.5 Flash
Terminal-Bench-Science (Vals AI)Not measured5.7%Only Gemini 3.5 Flash measured
τ²-Bench TelecomNot measured95.6%Only Gemini 3.5 Flash measured
APEX-AgentsNot measured27.5%Only Gemini 3.5 Flash measured
BALROG31.2%Not measuredOnly Claude Haiku 4.5 measured
DeepResearch Bench45.5%Not measuredOnly Claude Haiku 4.5 measured
Vending-Bench 2$459$5,396Gemini 3.5 Flash
Berkeley Function Calling Leaderboard (BFCL)68.7%Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
Reasoning benchmarks for Claude Haiku 4.5 and Gemini 3.5 Flash
BenchmarkClaude Haiku 4.5Gemini 3.5 FlashLeader
GPQA Diamond72.2%92.7%Gemini 3.5 Flash
LiveBench reasoning61.7%Not measuredOnly Claude Haiku 4.5 measured
MMMU Pro (Vals AI)46.1%88.3%Gemini 3.5 Flash
GPQA Diamond (Artificial Analysis run)Not measured92.2%Only Gemini 3.5 Flash measured
Humanity's Last Exam (Artificial Analysis run)Not measured42.7%Only Gemini 3.5 Flash measured
GPQA Diamond (Epoch AI run)71.2%92.8%Gemini 3.5 Flash
ARC-AGI47.7%92.5%Gemini 3.5 Flash
ARC-AGI-24.0%72.1%Gemini 3.5 Flash
SimpleBenchNot measured76.7%Only Gemini 3.5 Flash measured
Chess puzzles8.0%45.0%Gemini 3.5 Flash
Mystery game puzzlesNot measured32.0%Only Gemini 3.5 Flash measured
EBR-benchNot measured4.8%Only Gemini 3.5 Flash measured
LMArena Text: hard prompts14211488Gemini 3.5 Flash
LMArena Text: expert14431495Gemini 3.5 Flash
LMArena Text: hard prompts in English14351483Gemini 3.5 Flash
LMArena Vision: diagramsNot measured1323Only Gemini 3.5 Flash measured
LMArena Vision: homeworkNot measured1330Only Gemini 3.5 Flash measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Claude Haiku 4.5 and Gemini 3.5 Flash
BenchmarkClaude Haiku 4.5Gemini 3.5 FlashLeader
AIME82.7%Not measuredOnly Claude Haiku 4.5 measured
MGSM (Vals AI)92.2%Not measuredOnly Claude Haiku 4.5 measured
OTIS Mock AIME66.7%95.6%Gemini 3.5 Flash
FrontierMath, tiers 1 to 3Not measured62.8%Only Gemini 3.5 Flash measured
FrontierMath, tier 4Not measured26.8%Only Gemini 3.5 Flash measured
ProofBenchNot measured31.0%Only Gemini 3.5 Flash measured
MATH level 596.4%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: math13981504Gemini 3.5 Flash
LMArena Text: mathematical work14301495Gemini 3.5 Flash
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index011
Knowledge benchmarks for Claude Haiku 4.5 and Gemini 3.5 Flash
BenchmarkClaude Haiku 4.5Gemini 3.5 FlashLeader
MMLU Pro78.7%89.5%Gemini 3.5 Flash
LegalBench (Vals AI)81.2%83.6%Gemini 3.5 Flash
CaseLaw (Vals AI)56.5%Not measuredOnly Claude Haiku 4.5 measured
CorpFin (Vals AI)60.6%64.7%Gemini 3.5 Flash
TaxEval (Vals AI)67.5%74.4%Gemini 3.5 Flash
MortgageTax (Vals AI)62.2%68.1%Gemini 3.5 Flash
MedQA (Vals AI)79.6%Not measuredOnly Claude Haiku 4.5 measured
MedCode (Vals AI)32.7%55.8%Gemini 3.5 Flash
SimpleQA Verified13.2%66.2%Gemini 3.5 Flash
LMArena Text: science14061495Gemini 3.5 Flash
LMArena Text: medicine and healthcare13941483Gemini 3.5 Flash
LMArena Text: legal and government14001488Gemini 3.5 Flash
LMArena Text: business and finance14001467Gemini 3.5 Flash
FACTS Benchmark SuiteNot measured63.1%Only Gemini 3.5 Flash measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Claude Haiku 4.5 and Gemini 3.5 Flash
BenchmarkClaude Haiku 4.5Gemini 3.5 FlashLeader
Design Arena: websites11221267Gemini 3.5 Flash
Design Arena: UI components10971269Gemini 3.5 Flash
Design Arena: game dev10971263Gemini 3.5 Flash
Design Arena: data viz11241236Gemini 3.5 Flash
Design Arena: 3D10711243Gemini 3.5 Flash
Design Arena: all code categories11141266Gemini 3.5 Flash
Design Arena: SVG10251253Gemini 3.5 Flash
Design Arena: ASCII art11401254Gemini 3.5 Flash
LiveBench design59.9%Not measuredOnly Claude Haiku 4.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index123
General benchmarks for Claude Haiku 4.5 and Gemini 3.5 Flash
BenchmarkClaude Haiku 4.5Gemini 3.5 FlashLeader
LiveBench data analysis59.3%Not measuredOnly Claude Haiku 4.5 measured
Public Benefits Bench (Vals AI)54.3%59.5%Gemini 3.5 Flash
SAGE (Vals AI)31.8%49.9%Gemini 3.5 Flash
MedScribe (Vals AI)85.2%76.6%Claude Haiku 4.5
Vals Multimodal Index42.9%62.9%Gemini 3.5 Flash
IFBenchNot measured76.3%Only Gemini 3.5 Flash measured
Long context reasoning (AA-LCR)Not measured74.3%Only Gemini 3.5 Flash measured
DTBench73.6%94.7%Gemini 3.5 Flash
LMCA30.9%47.1%Gemini 3.5 Flash
Surface Evolver BenchNot measured58.1%Only Gemini 3.5 Flash measured
ExploitBench13.7%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text13971482Gemini 3.5 Flash
LMArena Text: instruction following14141467Gemini 3.5 Flash
LMArena Text: creative writing13711470Gemini 3.5 Flash
LMArena VisionNot measured1308Only Gemini 3.5 Flash measured
LMArena Text: English14141481Gemini 3.5 Flash
LMArena Text: non-English13771475Gemini 3.5 Flash
LMArena Text: Chinese14181527Gemini 3.5 Flash
LMArena Text: German13741494Gemini 3.5 Flash
LMArena Text: Japanese13381486Gemini 3.5 Flash
LMArena Text: Korean13461448Gemini 3.5 Flash
LMArena Text: French14111490Gemini 3.5 Flash
LMArena Text: Spanish14211480Gemini 3.5 Flash
LMArena Text: Russian13811493Gemini 3.5 Flash
LMArena Text: Polish13431516Gemini 3.5 Flash
LMArena Text: multi-turn14091481Gemini 3.5 Flash
LMArena Text: longer queries14271483Gemini 3.5 Flash
LMArena Text: writing and language13861478Gemini 3.5 Flash
LMArena Text: entertainment and media13691459Gemini 3.5 Flash
LMArena Vision: EnglishNot measured1305Only Gemini 3.5 Flash measured
LMArena Vision: ChineseNot measured1377Only Gemini 3.5 Flash measured
LMArena Vision: reading textNot measured1317Only Gemini 3.5 Flash measured
LMArena Vision: humorNot measured1321Only Gemini 3.5 Flash measured
LMArena Vision: creative writingNot measured1301Only Gemini 3.5 Flash measured
LMArena Document14201463Gemini 3.5 Flash
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 Haiku 4.5 and Gemini 3.5 Flash
BenchmarkClaude Haiku 4.5Gemini 3.5 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 Haiku 4.5$0.0035Fits in one request
Gemini 3.5 Flash$0.0060Fits in one request

Claude Haiku 4.5 costs less

Repository review

50K input + 3K output tokens

Claude Haiku 4.5$0.065Fits in one request
Gemini 3.5 Flash$0.102Fits in one request

Claude Haiku 4.5 costs less

Agent loop

200K input + 10K output tokens

Claude Haiku 4.5$0.250Exceeds the context window
Gemini 3.5 Flash$0.390Fits in one request

Claude Haiku 4.5 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 Haiku 4.5 and Gemini 3.5 Flash
SpecificationAnthropic Claude Haiku 4.5Google Gemini 3.5 Flash
MakerAnthropicGoogle
WeightsNo public weights listedNo public weights listed
ReleasedOctober 15, 2025May 19, 2026
Context window200K1.05M
Input $/Mtok$1.00$1.50
Output $/Mtok$5.00$9.00
Coding index35.639.8
Independent measurements behind it44
Cost per solved task$0.56$1.21
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 4.5 better than Gemini 3.5 Flash for coding?

Pick Gemini 3.5 Flash for coding: it scores 39.8 on the Vibe Coding Index against 35.6 for Claude Haiku 4.5. Pick Claude Haiku 4.5 for output tokens 1.8x cheaper ($5.00 vs $9.00 per million) and a lower cost per solved task ($0.56 against $1.21).

Which is cheaper, Claude Haiku 4.5 or Gemini 3.5 Flash?

Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; Gemini 3.5 Flash costs $1.50 and $9.00. Per solved SWE-bench Verified task, Claude Haiku 4.5 costs $0.56 and Gemini 3.5 Flash $1.21.

Which has the bigger context window, Claude Haiku 4.5 or Gemini 3.5 Flash?

Gemini 3.5 Flash, with 1.05M tokens against 200K.

How many benchmarks is the Claude Haiku 4.5 vs Gemini 3.5 Flash comparison based on?

74 benchmarks have a result for both models as of October 22, 2026. Claude Haiku 4.5's coding index rests on 4 independent benchmarks and Gemini 3.5 Flash's on 4. Where only one model has a result, the page says so instead of naming a winner.

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